As we explored in our first weblog, Databricks Genie is redefining industry-specific outcomes by democratizing entry to knowledge by pure language. Nevertheless, the transformative energy of Genie extends far past {industry} use circumstances. At its core, Genie is a strong know-how layer that addresses common useful challenges – reminiscent of monetary planning, authorized compliance, and IT operations – that each enterprise faces no matter their sector. By performing as a ‘Analysis Agent’, Genie can robotically generate multi-step analysis plans to clarify enterprise anomalies and again each reply with verifiable proof from the lakehouse.
To assist organizations operationalize AI at scale, our companions have developed a collection of cross-industry know-how and useful options. These options concentrate on streamlining cross-functional workflows, reminiscent of automated procurement assistants or self-service enterprise glossaries, making certain that intelligence is powered by real-time context fairly than stale, static stories. Under, we spotlight the main cross-industry associate options which might be serving to groups get to insights sooner and speed up resolution making by production-grade agentic workflows.
This weblog showcases revolutionary associate options constructed on Databricks Genie throughout the next classes:
- Expertise Options
- Gross sales
- Advertising
- Human Assets
- Finance & Procurement
- Provide Chain
- Buyer Service
- IT Operations
Expertise Options
Accenture
AI4BI Command Heart: Accenture and Databricks are engineering and productizing the AI4BI Command Heart, an answer that shifts group past modern BI interfaces in the direction of a unified, ruled, and agentic intelligence expertise. Constructed on Databricks applied sciences and Accenture area data, the AI4BI Command Heart gives resolution makers with trusted, contextualized perception summaries, deep explanations, proactive alerts, what-if capabilities, and focused really helpful actions – all enabled by a wealthy dialoging with knowledge interplay paradigm. The answer leverages a reusable structure and deployment sample that may be quickly configured for brand new use circumstances, scaled throughout shoppers, and embedded into organizational workflows.
Aimpoint Digital
AgentOps: Genie areas are meant to be extremely particular, constructed with a single knowledge area or specialty to make sure excessive accuracy, however what occurs if it is advisable mix knowledge from a number of Genie areas? Aimpoint Digital’s multi-agent Genie system, powered by their Brickbuilder Accelerator AgentOps gives deep observability and a strong deployment framework. Prospects can achieve entry to insights by a single chat interface backed by Lakebase for long run chat historical past, with a strong customized supervisor agent able to reasoning throughout a number of Genie areas. Prospects can use AgentOps to combine with their enterprise customers through apps, slack, groups or wherever enterprise choices are made. AgentOps helps preserve targeted Genie areas whereas unlocking its true potential by a single customizable interface driving actual, long-term adoption. Learn this weblog to study extra.
Avanade
Avanade helps organizations flip Databricks Genie right into a trusted, enterprise-ready conversational analytics functionality. Past enabling pure language queries, they concentrate on what makes Genie work in observe—aligning knowledge foundations, curating enterprise semantics, and embedding governance by Unity Catalog. Avanade’s method ensures Genie delivers correct, context-aware insights that enterprise customers can depend on, not simply sooner solutions. By combining deep knowledge engineering, AI, and {industry} experience, they assist shoppers cut back resolution latency, scale self-service analytics, and operationalize AI-driven insights throughout domains. The end result: sooner, extra assured choices grounded in ruled knowledge, delivered the place and after they’re wanted. Learn this weblog to study extra.
Blueprint Applied sciences
AI Manufacturing facility: Engagement leads and enterprise stakeholders can now ask their AI Manufacturing facility portfolio knowledge questions in plain English and get ruled, traceable solutions. Constructed on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint’s AI Manufacturing facility Template surfaces use case maturity development, stakeholder motion completion, threat registers, and milestone timelines—with out writing SQL. Engagement managers monitor which use circumstances have reached manufacturing, executives monitor portfolio well being in opposition to targets, and staff members question pending actions by stage and duty sort. Each reply traces again to the Delta Lake tables powering the AI Manufacturing facility Workbench, with Unity Catalog making certain constant governance throughout engagements.
Capgemini
Agentic-ready AI and knowledge platform: Capgemini’s “Agentic-ready AI and knowledge platform” presents a Databricks‑native acceleration designed to quickly operationalize Genie as a ruled conversational analytics layer inside enterprise functions. It gives out‑of‑the‑field integration templates, enterprise structure patterns, and finest practices for embedding Genie into enterprise, together with customized line‑of‑enterprise apps. The accelerator is confirmed with a monetary companies {industry}‑targeted KYC resolution, delivering conversational intelligence, unified knowledge foundations, and coverage‑conscious reasoning.
Celebal Tech
Eagle Eye IQ by Celebal Applied sciences permits enterprises to maneuver from reactive knowledge monitoring to proactive, AI-driven knowledge reliability on the Databricks Knowledge Intelligence Platform. By unifying knowledge high quality, lineage, observability, and governance right into a single intelligence layer, it helps groups detect points earlier, perceive downstream affect, and resolve root causes sooner, decreasing knowledge incidents and operational overhead. Databricks Genie acts because the conversational interface over Unity Catalog-governed indicators, permitting customers to research anomalies, hint dependencies, and validate knowledge belief in actual time utilizing pure language. Celebal Applied sciences explores this method to steady, explainable knowledge operations in additional element of their Eagle Eye IQ knowledge observability weblog.
Agent Storage: Celebal Applied sciences’ Agent Storage extends the facility of Databricks Genie from conversational analytics into enterprise-wide operational intelligence. Constructed natively on the Databricks Knowledge Intelligence Platform, it permits enterprise customers to ask advanced questions, uncover root causes, and set off downstream actions by ruled AI workflows. By connecting Genie’s intelligence layer with Agent Storage’s orchestration and execution capabilities, enterprises can operationalize insights throughout capabilities, from provide chain and manufacturing to vitality and industrial operations. The result’s a unified system the place knowledge, decisioning, and execution work collectively to drive sooner outcomes. Discover this method of their Agent Storage resolution weblog.
CausalX, by Celebal Applied sciences, is a Databricks-native resolution intelligence platform that goes past dashboards and predictions to ship real-time root trigger evaluation with quantified monetary affect. Its deterministic causal engine isolates the true drivers behind each KPI deviation, whereas Databricks Genie turns these findings right into a dialog, letting enterprise customers discover “what subsequent” in plain English with out leaving the agent panel. The causal engine owns the why; Genie owns every little thing after. The result’s a ruled, explainable loop from query to root trigger to motion, a steady expertise; management can belief, audit, and act on. Discover this method of their CausalX resolution weblog.
CI&T
The Single Interface Multi-Agent System for Genie Orchestration revolutionizes consumer interplay by offering a unified gateway that integrates a number of communication channels, together with WhatsApp, Groups, and Gemini through A2A APIs. This method permits seamless entry to varied domains and Genie areas, whereas additionally incorporating inside documentation for enhanced help. Central to this resolution is a supervisor agent that intelligently assesses consumer requests, figuring out acceptable entry rights and enterprise context. It orchestrates interactions with specialised brokers, making certain requests are triaged successfully and routed to the proper area. Moreover, Lakebase serves as a context reminiscence, enriching session continuity and consumer expertise. Learn this weblog to study extra.
Colibri Digital
Colibri Digital’s Knowledge Market Portal, Aviary, permits customers to shortly discover, perceive, and entry the appropriate knowledge for his or her wants with out requiring technical experience or specialist help. It’s constructed as a Databricks Apps on their bespoke Hummingbird framework, which orchestrates end-to-end knowledge pipelines from multi-source ingestion by to curated consumption. Knowledge is ingested through their proprietary Colibri Foundry, and progressed by a structured transformation pipeline masking knowledge cleaning, standardization, and modeling, leading to ruled, consumption-ready datasets. Via Aviary’s easy, intuitive interface, customers can ask pure language questions—reminiscent of figuring out datasets containing particular operational or buyer insights. That is powered by Databricks Genie, which interprets consumer intent and performs context-aware searches throughout the catalog, leveraging metadata and tags to return related, ruled datasets. Chosen outcomes are served again to the UI with ultra-low latency through Lakebase’s app-ready lakehouse synchronization. Learn this weblog to study extra.
Cognizant
Hybrid Intelligence System: Enterprise groups drowning in siloed structured and unstructured knowledge not often get exact solutions from off-the-shelf AI instruments. Cognizant engineered a Hybrid Intelligence System on Databricks that routes pure language queries dynamically between Genie-powered SQL analytics and RAG-based doc intelligence — all inside a single MLflow serving endpoint. To help over 25,000 Genie calls, a semantic caching layer was constructed atop the structure, eliminating 30–60% of redundant inference prices. The end result: Professional analysis time slashed from hours to beneath a minute, 97%+ retrieval precision, and a multi-domain framework serving a number of specialised agent workflows on shared, zero-idle-cost serverless infrastructure. Learn this weblog to study extra.
Datapao
Genie for Microsoft Groups – Conversational Analytics at Your Fingertips: Datapao’s Conversational Analytics Hub embeds Databricks Genie instantly into Microsoft Groups, bringing natural-language entry to ruled lakehouse knowledge into the collaboration atmosphere the place enterprise customers already function. The answer permits workers throughout capabilities to question trusted knowledge belongings, floor insights, and make knowledgeable choices with out switching instruments or counting on technical intermediaries. Constructed on Unity Catalog, it ensures safe, ruled entry whereas accelerating the democratization of knowledge throughout the enterprise. Confirmed in a number of enterprise deployments, the combination reduces time-to-insight, alleviates stress on knowledge groups, and expands Databricks adoption amongst non-technical personas in Groups-centric organizations.
The Datapao Hyper-Personalization Accelerator combines Databricks Genie and Lakebase to ship real-time, individualized buyer experiences at enterprise scale. The answer unifies analytical intelligence from the lakehouse with low-latency operational serving, enabling advertising, e-commerce, and buyer expertise groups to generate tailor-made suggestions, content material, and presents with sub-second responsiveness. Enterprise customers can discover buyer segments and validate personalization hypotheses by natural-language queries in Genie, whereas Lakebase powers the production-grade serving layer for stay functions. Constructed on Unity Catalog for ruled, compliant entry to buyer knowledge, the accelerator gives a repeatable blueprint for operationalizing personalization throughout industries. Learn this weblog to study extra.
Deloitte
Deloitte’s Neptune knowledge portal embeds Databricks Genie to make analytics actually conversational. Linked natively to Unity Catalog, Genie lets enterprise customers ask questions in on a regular basis language and get ruled, ready-to-run SQL plus clear explanations, instantly in opposition to licensed knowledge merchandise. Customers can mix and examine datasets throughout the catalog with no need to know the place they stay or how they’re structured, dramatically shortening the trail from query to perception. As groups use Neptune, Genie is constantly tuned with their enterprise vocabulary, KPIs, and context, so solutions grow to be progressively smarter, extra related, and higher aligned with how the enterprise really runs.
Delta Ledger by Deloitte makes Databricks value administration easy, clear, and scalable. Deloitte’s proprietary resolution offers enterprise leaders and directors one platform to create, edit, and monitor budgets throughout Databricks spend, workspaces, SKUs, and customized tags. Customers can set time frames, configure alert thresholds, evaluate energetic and historic budgets, and export stories for compliance or evaluation. Built-in alerts and automatic workflows preserve notifications aligned with finances efficiency, whereas detailed visibility helps groups transfer from value monitoring to value optimization. Deployment is quick by Declarative Automation Bundles which runs a sequence of workflows, tables and alerts, plus Databricks Genie to question monetary knowledge in pure language, enabling fast setup and fast entry to superior FinOps capabilities immediately.
Diggibyte
LinguaGenie is an clever utility constructed on prime of Databricks Genie that transforms how customers work together with knowledge. It permits voice-based enter and helps a number of languages, permitting enterprise customers to question knowledge naturally with out counting on technical expertise or SQL. The app converts spoken queries into actionable insights, leveraging Databricks. It additionally delivers business-specific visualizations for finance, gross sales, and operations. These dashboards spotlight tendencies and patterns immediately. LinguaGenie improves accessibility, accelerates choices, and bridges knowledge and enterprise groups, providing a contemporary, inclusive, intuitive analytics expertise for enterprises. It scales securely throughout organizations whereas decreasing dependency on knowledge specialists value effectivity. Learn this weblog to study extra.
DXC
DXC is deploying Databricks Genie with shoppers throughout a number of industries, together with telecommunications, public sector and quite a few clients throughout retail, manufacturing and transportation. DXC helps shoppers use Genie to find knowledge by pure language search, bettering knowledge literacy and accelerating perception era from shopper’s Databricks knowledge. Genie can also be included as a part of our AI-enabled knowledge pipeline era accelerators, enabling sooner onboarding of recent knowledge merchandise. Internally, DXC makes use of Genie as Buyer 0 for analytics throughout staffing, gross sales, and operational use circumstances, and exposes it as an MCP Server for AI brokers to entry knowledge in Databricks.
Entrada
Entrada’s Serverless Price Management Accelerator unifies various value telemetry – warehouse utilization, job spend, business-unit allocation, system-level indicators – right into a single view of Serverless consumption. This accelerator replaces fragmented reporting with reusable value fashions, telemetry pipelines, dashboards, and standardized chargeback workflows. Constructed-in Unity Catalog governance and Lakebase federation guarantee safe, auditable, real-time value attribution. Leveraging Genie Areas, the accelerator permits groups to question spend, utilization patterns, and price drivers in plain language, floor inefficiencies immediately, and act decisively to cut back waste. Learn this weblog to study extra.
Entrada’s DataPact is a Databricks-native migration validation and knowledge high quality accelerator that automates source-to-target reconciliation – changing handbook spot-checking with repeatable, auditable workflows. Utilizing YAML-defined guidelines, Unity Catalog governance, Databricks SQL Serverless, and Delta-backed audit historical past, it powers sooner sign-off, regulatory proof, and CI/CD high quality gates. At its core, Genie permits natural-language exploration of trusted validation outputs, letting enterprise, governance, and engineering customers ask questions on high quality tendencies, failures, lineage, and sign-off readiness – no SQL required. Paired with AI/BI dashboards, DataPact turns validation into ruled, business-ready perception. Learn this weblog to study extra.
Entrada’s Governance Atlas is a workspace-portable Databricks App accelerator that turns Unity Catalog right into a product-grade governance working floor. It unifies search-first discovery, lineage tracing, glossary administration, native writeback workflows – eliminating metadata drift by authoritative updates pushed instantly again into Unity Catalog. Delivered as governance-as-code through Databricks Asset Bundles, the accelerator ensures version-controlled, reproducible, and absolutely auditable deployments. Genie API and Lakebase integration permits agentic querying of the enterprise glossary and manufacturing belongings with actionable insights. Powered by Databricks SQL Warehouses, it scales concurrent metadata operations throughout the enterprise. Learn this weblog to study extra.
Everforth Apex
The Genie Reliability Layer is Everforth Apex’s manufacturing sample that transforms Databricks AI/BI Genie from a compelling demo into the system operations groups open first each morning. Constructed round 5 confirmed practices, separating SQL era from execution, status-aware polling with swish fallbacks, tightly scoped semantic surfaces, audit-driven observability, and an Agent Supervisor that routes questions and enforces guardrails. It wraps Genie with logging, Unity Catalog inference tables, Lakehouse Monitoring, and nightly LLM-as-judge analysis. The end result: auditable, reproducible solutions, measurable P50/P95 latency, and reliability that compounds over time throughout utilities, vitality, healthcare, and public sector deployments. Learn this weblog to study extra.
EY
EY’s Clever Mortgage Doc Processing resolution, constructed on Databricks, brings collectively agent-driven automation and intuitive consumer interplay to simplify how banks deal with advanced mortgage knowledge. Utilizing Agent Bricks together with Genie Areas and Genie Code, it will probably learn, extract, and validate info from massive volumes of unstructured mortgage paperwork, whereas holding every little thing traceable and audit-ready. Groups can shortly search, query, and validate outcomes by pure language, as an alternative of digging by recordsdata manually. In observe, this implies considerably much less handbook work (as much as 60% discount), sooner turnaround on credit score opinions, and extra constant, dependable outputs for downstream decision-making.
MET – Mannequin Ecosystem Transformation: The Mannequin Ecosystem Transformation focuses on making the mannequin growth lifecycle really feel much less fragmented and extra product-like on Databricks. Groups use Genie Code and Genie Areas to simplify how fashions are constructed, examined, and accessed, whereas AI/BI dashboards make outputs simpler to devour for enterprise customers. Databricks Apps gives a clear strategy to bundle every little thing into re-usable App fairly than scattered notebooks. Behind the scenes, Lakebase helps bridge the hole between analytics and realtime functions—supporting low latency mannequin serving, state administration for agent workflows, and seamless integration with ruled knowledge. This makes it simpler to maneuver from experimentation to manufacturing and really operationalize fashions at scale.
EY – AI Prepared Knowledge (AIRD): EY AIRD, constructed on Databricks, offers monetary establishments a extra sensible strategy to get to trusted, AI prepared knowledge with out heavy engineering overhead. By combining Genie and Unity Catalog with a ruled knowledge layer, customers can discover, remodel, and validate knowledge utilizing easy pure language as an alternative of counting on technical groups. Lakebase performs a key position on the operational facet—serving curated knowledge from the Lakehouse into low latency functions and workflows. The result’s a platform that connects knowledge engineering, AI, and enterprise utilization extra tightly, reduces handbook effort, and helps groups transfer sooner from uncooked knowledge to choices with confidence and correct governance inbuilt.
EY’s Self-Therapeutic Knowledge High quality (DQMX) resolution, constructed on Databricks, combines automated knowledge high quality monitoring with agent-driven remediation to maintain enterprise knowledge dependable at scale. Utilizing Genie Areas and Databricks Apps, customers can examine anomalies, hint root causes, and set off corrective actions by pure language fairly than handbook rule evaluation. Built-in with ruled knowledge in Unity Catalog, DQMX constantly detects, diagnoses, and resolves knowledge points throughout pipelines. The result’s ~50–60% much less debugging time, ~40–50% improved rule creation effectivity, and constantly trusted knowledge feeding analytics, AI fashions, and downstream enterprise processes.
Fractal Analytics
AI/BI Modernization with Databricks Genie: This resolution accelerates retail resolution intelligence by modernizing legacy Qlik reporting into Databricks AI/BI Dashboards and Genie-powered analytics. Constructed on a Databricks Lakehouse, it re-anchors knowledge, semantics, and KPIs on Databricks to deal with software sprawl, semantic inconsistency, and restricted AI readiness. Databricks Genie permits enterprise and analyst customers to discover ruled retail knowledge utilizing pure language, supporting exploratory, AI-led, and cross-domain evaluation throughout gross sales, provide chain, promotions, and loyalty knowledge. Essential Qlik content material is rationalized and selectively migrated to Energy BI for govt and operational reporting, whereas Genie and AI/BI Dashboards are used for high-change, high-question workloads. The result’s larger belief in KPIs, sooner decision-making, and a scalable basis for AI/BI-led retail analytics. Learn this weblog to study extra.
Genpact
GTransform: Genpact’s GTransform converts legacy Alteryx, OBIEE, SAS, and Talend code into production-ready Databricks notebooks. The pipeline parses supply recordsdata utilizing a Data Graph to map relationships and enterprise logic precisely, then generates plain-English summaries for human evaluate. Databricks Genie gives a conversational interface the place reviewers can ask questions, discover workflow logic, and refine necessities earlier than the AI produces ultimate code, guided by Genpact’s templates encoding finest practices from earlier engagements. A validation go feeds errors again into era, so every re-run produces cleaner code. What used to take weeks turns into a ruled migration pipeline on Databricks.
GlobalLogic
A conversational “discuss -to-your-data” expertise powered by Genie and embedded instantly inside GlobalLogic’s Statement Deck utility for govt dashboards, permits leaders to ask pure language questions on knowledge behind their dashboards. Behind the scenes, an clever orchestration layer interprets the query, determines probably the most related Genie area, validates outcomes in opposition to governance guidelines, and synthesizes a concise, executive-ready response, enriching it with further insights, urged actions and ad-hoc visible representations.
IBM
The Knowledge Steward Help Framework leverages Databricks Genie to revolutionize knowledge governance by enabling knowledge stewards to entry high quality and metadata insights by pure language queries. This AI-powered resolution eliminates handbook navigation of governance tables and SQL scripting, accelerating validation and cataloging duties. Genie interprets consumer questions, generates optimized SQL, and presents leads to an intuitive format. Predefined behavioral directions, curated datasets, express desk relationships, and reusable question patterns guarantee accuracy and effectivity. The framework highlights governance gaps, visualizes knowledge high quality scores, and streamlines stewardship, empowering organizations to take care of strong knowledge governance with minimal technical overhead. Learn this weblog to study extra.
iLink
iLink’s iCore Entity Decision Accelerator eliminates fragmented grasp knowledge by delivering a trusted Single Supply of Reality — natively built-in with Databricks’ Knowledge Intelligence Platform and Unity Catalog. iCore permits scalable entity matching, merging, and determination utilizing fuzzy match logic and deterministic methods, configured by an intuitive UI with out prolonged MDM applications. By cleaning and unifying buyer, affected person, product, and provider information instantly inside Databricks, iCore unlocks the total potential of Genie’s AI-powered analytics on dependable, ruled knowledge. The end result: elimination of duplicate information, constant reporting, decreased operational inefficiencies, and AI-ready grasp knowledge — all inside a light-weight, enterprise-ready deployment mannequin.
Infocepts
Observability Resolution: Enterprise Knowledge & AI leaders face the multi-faced problem of managing knowledge platform prices, efficiency, pipeline well being, and AI sprawl. Infocepts Databricks Observability constructed natively with Unity Catalog, Lakeflow, AI/BI Genie, AgentBricks, Lakebase, Databricks Apps addresses these wants proactively. It gives a ruled intelligence layer which constantly observes, understands, decides, and optimizes the Databricks platform for value, well being and efficiency. It serves six personas — FinOps, Platform Engineers, Knowledge Leaders, Knowledge Engineers, Governance groups, and AI/ML Leads — every receiving role-specific, KPI-ready, AI-powered insights on one trusted platform. Try the demo right here.
Infosys
DE.ai is an agentic AI–pushed knowledge engineering paradigm purpose-built for the Databricks ecosystem, enabling autonomous planning with context-aware code era and human-in-the-loop validation. It integrates deeply with Databricks by Mannequin Context Protocol (MCP) and is grounded in Delta Stay Tables, Unity Catalog metadata and Genie. The answer delivers production-ready pipelines aligned with medallion structure ideas, embedding enterprise requirements, governance, and safety from the outset whereas decreasing friction between enterprise intent and deployment. Databricks Genie serves as a conversational AI layer empowering knowledge engineers and analysts. It’s ideally suited for greenfield Databricks implementations, legacy modernization from platforms like Informatica or Teradata, and organizations with stringent enterprise governance and compliance necessities.
DA.ai is an agentic, AI‑pushed platform that transforms how engineers and analysts put together, discover, and operationalize knowledge. Its twin‑floor structure combines fast native productiveness with enterprise‑grade scalability and governance, changing pure language into deterministic, explainable Python/SQL with full lineage. It permits seamless collaboration on ruled artifacts, accelerating the trail from exploration to production-ready Databricks pipelines. Via the Unity AI Gateway, DA.ai connects to enterprise AI fashions in a managed method, whereas deep integration with Unity Catalog ensures governance-first knowledge entry. Native connectivity to Lakeflow Spark Declarative Pipelines and shared belongings enhances reliability. Leveraging Databricks Genie, DA.ai permits conversational analytics and semantic-layer-driven insights for enterprise customers.
Indicium AI
AI/BI Migration Engine: AI/BI Migration Engine accelerates the transition from legacy BI instruments reminiscent of Energy BI to AI-native analytics on Databricks. The accelerator parses semantic fashions, extracts enterprise logic, and converts metrics and queries into ruled, AI-ready buildings aligned with Unity Catalog. It permits fast consumption by Databricks Genie, unlocking conversational analytics and what-if exploration for enterprise customers. By automating historically handbook migration processes, it reduces effort, improves consistency, and shortens time-to-value. The answer additionally reduces reliance on license-based BI instruments, decreasing whole value of possession whereas enabling scalable, usage-based analytics and driving enterprise-wide AI adoption. Learn this weblog to study extra.
Koantek
Koantek Ascend AI/BI & Genie accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. 5 horizontal modules (Genie House Manufacturing facility, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus 4 {industry} accelerators (Healthcare, Monetary Providers, Retail/CPG, Manufacturing) collapse Genie area authoring from 10-15 days to three days per area, auto-generate licensed Metric Views from SQL and DAX, migrate Energy BI and Tableau estates with parallel-run parity, embed Genie in exterior merchandise, and roll out Genie UI to 100-500 customers with reversible onboarding. The accelerator is customer-evidenced throughout semiconductor, skilled companies, life sciences, and manufacturing. Learn this weblog to study extra.
LatentView Analytics
BrickShift is an AI-powered resolution designed to speed up migration from legacy BI platforms reminiscent of Energy BI and Tableau to trendy Databricks AI/BI environments. It permits seamless semantic layer conversion by translating proprietary calculations like DAX and LODs into standardized Databricks SQL. The platform automates dashboard replication, making certain 1:1 visible consistency, whereas extracting metadata to map lineage and logic. BrickShift additionally performs AI-driven validation and reconciliation to make sure knowledge accuracy. With built-in governance, position migration, and BI property optimization, it delivers end-to-end modernization, bettering scalability, effectivity, and decision-making throughout enterprise analytics ecosystems. Learn this weblog to study extra.
Lovelytics
DocInsights: Lovelytics constructed DocInsight to indicate what’s potential when AI meets the trendy lakehouse. DocInsight automates the extraction of structured knowledge from unstructured paperwork – contracts, drilling stories, tax filings, and extra – utilizing native Databricks capabilities together with ai_parse_document and Agent Bricks. Extracted content material lands instantly in Lakebase, giving enterprise groups a ruled, queryable basis for analytics from day one. As soon as knowledge is structured, Databricks Genie transforms how customers work together with it: as an alternative of constructing queries, reviewers merely ask questions and get solutions – straight from the paperwork themselves. The result’s a full pipeline from uncooked PDF to enterprise resolution, constructed solely on Databricks. Watch this demo and browse this weblog to study extra.
Mastek
Mastek’s Genie Intelligence Hub deploys the total Databricks Genie ecosystem as a production-ready, domain-agnostic platform. Enterprise customers throughout finance, operations, and industrial groups achieve pure language entry to stay enterprise knowledge by Genie Areas — asking advanced questions and receiving cited, ruled solutions with out writing a single line of code. The Genie Analysis Agent performs autonomous multi-step evaluation, surfacing root causes and enterprise anomalies proactively. Built-in with Unity Catalog, Delta Stay Tables, and Lakehouse Monitor, the accelerator contains Mastek’s pre-built semantic layer library, area knowledge fashions, and self-healing pipeline templates — enabling organizations to appreciate enterprise worth from Genie in weeks fairly than months.
MathCo
Superior Unified Response Analytics (AURA): Scaling Databricks AI/BI past the pilot staff is the place most enterprises uncover what they didn’t construct — governance coverage, cross-domain orchestration, persistent reminiscence, analysis baselines. AURA is a Databricks-native accelerator that installs that lacking layer earlier than the pilot ends. Pre-built Area Packs, Unity Catalog-enforced governance, and steady analysis pipelines compress rollout timelines by 40-60% — and stop the orchestration debt that quietly kills most enterprise AI deployments. Manufacturing-grade, multi-domain Genie from day one. It permits reusable orchestration, ruled scalability, and sooner enterprise adoption throughout domains. Watch this demo and browse this weblog to study extra.
Perficient
Perficient’s Genie-Prepared BI Migration Accelerator automates the invention, profiling, and Unity Catalog preparation required to exchange Azure Synapse and Energy BI workloads with AI/BI Genie on Databricks. An agentic discovery layer crawls present BI stories and supply datasets, profiles schema semantics and knowledge high quality, and evaluates Unity Catalog metadata readiness, flagging which belongings are instantly Genie-ready versus these requiring remediation earlier than pure language queries return trusted solutions. The accelerator generates UC-aligned enterprise definitions, semantic tags, and knowledge high quality suggestions that energy Genie’s conversational analytics layer, compressing the migration of 1000’s of BI belongings from months to weeks.
GenieClaw with Ruled Hierarchical Assistant Requirements on Databricks: GenieClaw is an enterprise-grade, Databricks‑native autonomous operations agent that operationalizes governance—not simply automation. GenieClaw embeds governance, priority, and auditability instantly into how automation is designed, deployed, and executed. The Hierarchical Assistant Requirements Structure illustrates this philosophy in observe—demonstrating how GenieClaw enforces company, departmental, and venture‑stage controls with out bypassing Databricks’ native safety or enterprise working fashions.
Persistent Methods
iAURA Semantic Knowledge Modeler accelerates the creation of a ruled semantic layer on Databricks by standardizing enterprise metrics, dimensions, and definitions instantly on the lakehouse. It assists in extracting present enterprise logic from BI instruments and curated Gold knowledge, converts it into platform-native semantic constructs reminiscent of Unity Catalog Metric Views, and enriches them with AI-ready metadata. This permits constant metric computation throughout Databricks-native dashboards, SQL, APIs, and conversational analytics. By separating enterprise that means from bodily knowledge buildings, iAURA permits scalable self-service analytics, improves Genie reply accuracy, and reduces metric drift with out requiring modifications to present knowledge pipelines. Learn this weblog to study extra.
Slalom
One among Slalom’s public sector clients is modernizing emergency response through the use of AI-powered instruments like LakeSpeak, Slalom’s MCP powered Brickbuilder accelerator, to create dynamic, real-time State of affairs Stories. This enhances decision-making, reduces handbook reporting, and presents an AI assistant for focused knowledge queries throughout disasters. LakeSpeak delivers a safe, standardized gateway to show Databricks Genie and Lakebase to exterior apps, brokers, and enterprise customers – with out duplicating logic, breaking governance, or rewriting integration patterns. Learn this weblog to study extra.
SoftServe
SoftServe Genie Categorical is an accelerated AI adoption sample counting on Databricks built-in capabilities for conversational analytics, semantic modeling, and governance. Inside 4 weeks SoftServe will analyze buyer’s enterprise use circumstances and the information accessible of their Lakehouse, and rise up Genie areas backed by tailor-made Unity Catalog Enterprise Semantics fashions and particular person Data Shops offering brokers with wealthy use case context. Prospects obtain conversational chat bots for entry through Databricks Genie, embedded into their functions, or built-in right into a wider agentic ecosystem through Conversational API. Watch this demo and browse this weblog to study extra.
SoftServe IDP with Databricks Genie: Not all enterprise intelligence lives in knowledge warehouses – an enormous portion of it’s locked in unstructured paperwork: invoices, claims, contracts, varieties and extra. Unlock the worth of enterprise paperwork with SoftServe Clever Doc Processing resolution constructed on Databricks Doc Intelligence and Genie. Seamlessly ingest content material from SharePoint, Google Drive, and different repositories and apply superior AI to grasp unstructured knowledge. Routinely classify content material, extract key knowledge factors, and remodel info into structured doc fashions. Use Databricks Genie to go looking particular person paperwork, reply governance and audit questions, extract enterprise insights, and navigate content material with confidence. Learn this weblog to study extra.
Solita
Solita BenchForge for Databricks Genie is a benchmark‑pushed accelerator for Databricks Genie that helps groups consider and refine Genie Areas utilizing native Genie APIs as an alternative of handbook trial and error. It treats Genie House curation as a measurable workflow: exporting an area, making use of a candidate serialized_space revision, working benchmark questions by the Dialog API, and evaluating earlier than‑and‑after outcomes to detect enchancment or regression. The present repository demonstrates this core loop with a working benchmark harness, Genie API shopper, and comparability artifacts. Unity Catalog context, DSPy integrations, or non-obligatory GEPA‑primarily based patch era can lengthen the workflow over time. The core worth immediately is a repeatable, proof‑primarily based Genie House analysis loop. Learn this weblog to study extra.
Syren Cloud
GenieBoost is an Clever Metadata Engineering accelerator born from SyrenCloud’s in depth expertise fine-tuning and deploying Genie for international enterprises. Recognizing that scaling Databricks’ Genie finest practices is a handbook bottleneck, GenieBoost automates the semantic enrichment of Unity Catalog metadata through a proprietary Semantic Intelligence Engine. It transforms uncooked schemas into high-fidelity enterprise logic, backed by a first-of-its-kind Autonomous Analysis Loop. This method deploys automated benchmarks to constantly audit and self-heal the semantic layer. By codifying expert-level setup requirements urged by Databricks, GenieBoost ensures each Genie House is production-ready, ruled, and precision-tuned for enterprise-scale AI/BI adoption.
Systech Options
AgentBuild: Enterprise groups are nonetheless ready for solutions. Stories get constructed, dashboards get shared, and choices nonetheless get delayed. AgentBuild modifications that. In 4 weeks, Systech takes one actual enterprise use case – gross sales pipeline, monetary planning, buyer retention, provide chain – and delivers a production-ready AI agent on Databricks that enterprise groups personal and function from day one. It asks their knowledge questions the way in which folks do, in plain language. It acts on the solutions. It’s powered by Databricks Genie for trusted knowledge retrieval, ruled by Unity Catalog, and constructed for buyer’s enterprise – not a proof of idea. Watch this demo on insurance coverage fraud detection with AI on Databricks Genie and browse this weblog to study extra.
Tech Mahindra
The Knowledge Product Supervisor is an agentic AI-powered resolution constructed on the Databricks Lakehouse that helps enterprises remodel metadata into high-quality, business-ready knowledge merchandise. Leveraging Databricks Agent Bricks and Genie, it makes use of a supervisor–employee multi-agent structure to automate the entire “Ideate to Perception” lifecycle. This contains discovering and prioritizing use circumstances, designing reusable knowledge belongings, managing dependencies, and delivering ruled, consumable knowledge merchandise. By minimizing handbook effort and standardizing finest practices, the answer accelerates time-to-value, improves knowledge consistency, and permits organizations to scale knowledge product creation effectively whereas aligning knowledge initiatives carefully with enterprise outcomes.
Discuss To Knowledge: Discuss To Knowledge lets enterprise customers ask questions and get insights from enterprise knowledge utilizing pure language—no SQL required. Powered by Databricks Genie, it delivers quick, safe, and ruled insights throughout industries like telecom, banking, insurance coverage, and retail, enabling choices in seconds, not weeks.
Thorogood
Scalable Conversational Analytics powered by Databricks Genie: Thorogood’s Accelerator combines a phased supply mannequin with a configuration-driven structure, permitting new Genie workspaces, Databricks instruments, and MCP-connected companies to be onboarded with out important rework. This makes the answer extremely scalable. The answer connects Genie Areas and a Databricks AI Search index containing Energy BI report descriptions, enabling the agent to hyperlink related stories to consumer queries. Via these connections, enterprise customers can question ruled, consumption-ready datasets utilizing pure language, eradicating the dependency on SQL experience and making knowledge insights accessible throughout the group. The accelerator delivers worth inside weeks whereas sustaining enterprise-grade governance and safety.
T1A
Genie Forge helps organizations flip Databricks Genie Areas right into a repeatable enterprise functionality as an alternative of a handbook, time-intensive setup course of. By automating routine configuration work and utilizing historic utilization patterns to form every area round actual enterprise questions, Genie Forge can cut back preliminary setup effort by 60-70%, usually saving 20-30 hours per area. Earlier than the primary launch, built-in analysis and autoresearch refine the preliminary setup to enhance reply high quality and confidence, serving to groups begin with a extra dependable, business-ready Genie expertise from day one. Watch this demo to study extra.
Tieto
Tech Consulting Analyzer Accelerator: Utilizing Databricks Genie Areas with Metric Views has been a game-changer for constructing Tieto Tech Consulting Analyzer Accelerator. Genie effectively surfaces ruled buyer knowledge as trusted context, enabling Tieto’s agent to ship extremely correct responses to advanced analytical questions. They achieved excellent outcomes: 90% accuracy throughout evaluations by greater than 10 LLM judges. This method has allowed them to quickly combine and deploy the accelerator with clients, driving sooner, extra dependable AI-powered insights and actual enterprise worth. Learn this weblog to study extra.
Tiger Analytics
ReimagineBI: ReimagineBI is an revolutionary resolution by Tiger Analytics geared toward remodeling the enterprise analytics panorama by integrating superior synthetic intelligence into the enterprise intelligence (BI) framework. Leveraging the capabilities of Databricks, the platform presents customized dashboards, automated insights, and a user-friendly pure language querying interface, all managed by a cohesive lakehouse structure. On the core of this resolution is Databricks Genie, a semantic question engine designed to transform pure language enterprise inquiries into SQL queries in opposition to Unity Catalog tables. This not solely safeguards knowledge governance and enforces column-level safety but additionally facilitates complete lineage monitoring, thereby empowering non-technical customers to navigate and analyze ruled knowledge effortlessly, with out the necessity for coding experience. Via ReimagineBI, Tiger Analytics champions a brand new period of accessible, insights-driven decision-making for enterprises.
Tredence
RAPID – Agentic Discovery Accelerator for Databricks Genie: Powered by the Tredence Milky Method, RAPID automates the journey from baseline Genie area to production-ready accuracy. Utilizing agentic AI, it runs benchmark questions in opposition to a Genie area, diagnoses why solutions fail — classifying points throughout schema, joins, values, metrics, and enterprise guidelines — then programmatically applies fixes to Unity Catalog metadata and Genie area configuration. A built-in regression guard ensures no repair breaks beforehand passing questions. The closed-loop system collapses weeks of handbook iteration into hours, delivering quantified accuracy stories that construct stakeholder belief earlier than consumer acceptance testing. RAPID is domain-agnostic and absolutely contained inside the Databricks workspace.
V4C
Genie House Well being Rating: Most Databricks Genie AI/BI areas are under-configured. Prospects connect tables, write temporary directions, and go stay — with out metric views, trusted belongings, UC metadata, benchmarking, or mode consciousness. The result’s inconsistent solutions, low adoption, and no clear path to enchancment. The Genie House Well being Accelerator fixes this. It’s a single Databricks pocket book that robotically interrogates any Genie House through REST APIs, scores it throughout six best-practice dimensions, and renders knowledgeable well being report — full with a radar chart, hole evaluation, prioritized motion plan, and copy-ready templates. One House ID. Run All. Achieved. No exterior dependencies. No handbook effort.
Genie House Promoter: Databricks Genie Areas haven’t any native promotion path in Declarative Automation Bundles immediately. V4C.ai’s Genie House Promoter is a Terraform-based accelerator that fills this hole — enabling groups to advertise Genie Areas from Dev to Staging to Manufacturing in a single command, with none handbook API calls or workspace recreation. Constructed on Databricks REST API 2.0, the accelerator is config-driven, idempotent, and helps multi-catalog remapping throughout environments. Every area promotes independently with retry logic, structured logging, and full state monitoring. Reusable throughout any shopper engagement, it integrates cleanly into Azure DevOps and GitHub Actions pipelines with zero code modifications required.
Genie Sentiment Evaluation: The Genie Sentiment Accelerator is a production-ready Databricks Declarative Automation Bundles that robotically devices any Genie AI/BI area with real-time sentiment evaluation — requiring zero exterior infrastructure. It reads instantly from system.entry.audit, fetches query textual content through the Genie REST API, and scores each consumer interplay utilizing native Databricks AI Features (ai_analyze_sentiment and ai_classify). Behavioral indicators detect pissed off classes and unanswered questions robotically. Outcomes floor by a pre-built Lakeview AI/BI dashboard displaying sentiment tendencies, subject breakdowns, and engagement well being throughout any variety of Genie areas. Your entire pipeline deploys with a single Databricks bundle deploy command, making it immediately reusable throughout shopper engagements with no code modifications.
Wavicle Knowledge Options
Wavicle’s EZConvertBI for AI/BI, an analytics command middle, streamlines the client adoption of Databricks AI/BI Genie by introducing an Agentic BI-layer that allows conversational analytics whereas sustaining metric integrity and enterprise continuity. This agentic BI resolution helps a seamless, adoption secure shift from legacy BI to AI‑first analytics by figuring out excessive‑worth dashboards, migrating them into Databricks AI/BI with Genie area semantic data, whereas addressing consumer and KPI belief challenges. Enterprise customers can leverage pure‑language analytics and Genie‑powered insights with out retraining or disruptive transitions. By steadily transferring from dashboards to conversational BI and AI brokers, Wavicle permits Databricks clients to speed up Genie adoption, reduce dependence on legacy BI instruments, and obtain ruled, enterprise prepared AI analytics at scale. Try this demo and browse this weblog to study extra.
Gross sales
Bitwise International
Proactive Gross sales Pipeline Intelligence Platform: Bitwise presents a Genie-powered Gross sales Intelligence resolution constructed on the Databricks Knowledge Intelligence Platform to assist organizations modernize and optimize gross sales operations. The answer addresses challenges reminiscent of fragmented CRM knowledge, restricted pipeline visibility, handbook reporting, and reactive decision-making by unifying gross sales and engagement knowledge right into a ruled analytics atmosphere. Leveraging pre-built gross sales fashions, machine studying, and Genie AI, Bitwise permits predictive insights together with deal threat scoring, income forecasting, win chance prediction, and gross sales efficiency evaluation. With conversational analytics capabilities, enterprise intelligence customers can entry insights utilizing pure language queries, enabling sooner, data-driven choices, improved forecasting accuracy, elevated gross sales productiveness, and accelerated income progress. Learn this weblog to study extra.
KPI Companions
KPI Companions’ Agentic Proposal Generator, constructed on Databricks Agent Bricks and Lakebase, transforms enterprise gross sales by producing hyper-personalized proposals in minutes as an alternative of days. Powered by a multi-agent structure — spanning Agent Bricks Data Assistant, Data Extraction, RFP Analyzer, Supervisor, and Compliance Guardrail brokers — the answer grounds AI in stay enterprise knowledge served at low latency by Lakebase. Buyer CRM information, product catalogs, CPQ pricing intelligence, and historic win knowledge are hydrated through MCP instantly into agent context, enabling proposals exactly tailor-made to purchaser personas and enterprise constraints. The end result: a 10X sooner proposal cycle, larger win charges, and captured institutional data — all on Databricks. Learn this weblog to study extra.
Advertising
EPAM
Advertising Intelligence: CMOs and advertising groups sit on prime of huge marketing campaign, shopper, and market-research datasets however depend on BI bottlenecks to extract perception — by the point the reply arrives, the marketing campaign has moved on. EPAM’s Advertising Intelligence accelerator locations Databricks Genie instantly in entrance of selling knowledge. Pre-configured Genie areas, ruled by Unity Catalog, permit entrepreneurs to ask natural-language questions on marketing campaign ROI, shopper sentiment, and aggressive positioning, with solutions grounded within the underlying knowledge and traceable again to supply. The accelerator is constructed round Databricks’ Marketing campaign ROI & Attribution and Advertising Measurement precedence domains. It’s deployed with an iconic international upkeep merchandise model, and with a German luxurious automotive group, to speed up advertising resolution velocity.
LatentView Analytics
PRISM is a marketing campaign measurement resolution designed to assist organizations optimize advertising spend and maximize ROI by unified, data-driven insights. It permits cross-channel efficiency measurement by integrating paid and owned media, delivering a holistic view of marketing campaign effectiveness. The platform helps superior advertising attribution, lead funnel evaluation, and conversion optimization to enhance pipeline outcomes. With capabilities in viewers segmentation and personalization, PRISM enhances concentrating on precision and engagement. Its predictive spend optimization options information smarter finances allocation. By offering end-to-end visibility into digital campaigns, PRISM empowers international advertising and demand era groups to drive measurable affect, enhance effectivity, and speed up enterprise progress.
Perficient
Perficient’s Self-Service Advertising Segmentation Accelerator on Databricks Apps places AI-powered viewers evaluation instantly within the palms of selling groups, no knowledge engineering required. Constructed on Databricks Apps and AI/BI Genie, the answer permits entrepreneurs to outline, refine, and discover buyer segments by pure language, querying spend patterns, channel efficiency, and viewers overlap conversationally. Genie serves because the embedded analysis layer, surfacing insights, and mannequin refinement suggestions in actual time. Agentic knowledge high quality and profiling brokers validate that segmentation inputs meet Unity Catalog governance requirements, so small-budget groups can function with the identical knowledge confidence as an enterprise analytics group.
Tenarai
Tenarai’s Bolt ‘Self-Serve Analytics in Motion’ empowers Gross sales and Advertising leaders to maneuver past sifting by dashboards to driving vital choices with fast insights. By operationalizing Databricks Genie on a basis of Unity Catalog, Tenarai bridges the “final mile” bottleneck of handbook knowledge requests. Utilizing Agent Mode for multi-step reasoning and a curated Data Retailer, the answer delivers ruled, pure language solutions in seconds. Scaled for a International Diet Chief throughout 40+ international locations, this structure considerably reduces ad-hoc reporting whereas making certain 100% transparency and auditable logic. Watch this demo and browse this weblog to study extra.
Human Assets
Fractal Analytics
Fractal’s Studying & Growth (L&D) Analytics Chatbot is a conversational analytics accelerator constructed utilizing Databricks AI/BI Genie. It permits HR and L&D groups to work together with their studying knowledge utilizing pure language as an alternative of counting on static stories or handbook knowledge requests. Enterprise customers can ask questions and obtain instantaneous, context-aware solutions instantly from ruled enterprise knowledge. The chatbot is tailor-made to the group’s terminology and knowledge buildings and constantly improves over time by consumer suggestions, making certain responses stay correct, related, and grounded in enterprise context. Learn this weblog to study extra.
Hoonartek
Genie Room – Workforce Determination Intelligence: Enterprises usually battle to derive well timed workforce insights as a consequence of fragmented HR methods (Workday, payroll, studying platforms, and many others.). With Genie working on ruled HR knowledge domains: Customers can ask natural-language questions throughout methods, Genie understands relationships and performs cross-domain evaluation, responses are ruled, explainable, and constant. Final result: True self-service analytics for HR leaders with decreased dependency on BI groups.
Tiger Analytics
Affiliate 360 AI/BI: In an effort to realize a complete view of worker knowledge, a big shopper packaged items agency confronted challenges as a consequence of various methods and unstructured survey knowledge. To deal with these points, the corporate carried out Databricks Genie workspaces, which facilitated conversational slice-and-dice analytics. This strategic transfer considerably decreased the reliance on handbook reporting processes and minimized the burden on technical groups. Consequently, the corporate was capable of create a unified knowledge framework that enhanced decision-making and operational effectivity, paving the way in which for improved organizational insights and future progress.
Finance & Procurement
Bizmetric
What-if Monetary Intelligence: This resolution connects Databricks Genie to Oracle Fusion Gold tables — spanning AR, AP, GL, and SLA domains — enabling pure language what-if evaluation with out SQL. Oracle Fusion ERP knowledge flows by Bronze and Silver Lakehouse layers earlier than touchdown as curated Gold tables registered in Unity Catalog. Genie queries these tables instantly, powering 40+ monetary situations throughout 4 areas: AR collectability, AP obligations and money stream, GL accuracy, and subledger-to-GL reconciliation. The end result shifts finance groups from reactive month-to-month reporting to proactive, real-time monetary intelligence grounded in trusted ERP knowledge. Learn this weblog to study extra.
Genpact
Finance One: Genpact’s FinanceOne is a ruled knowledge platform on Databricks that provides the Workplace of the CFO a unified basis throughout ERP, EPM, and exterior sources, together with macroeconomic and syndicated indicators, as enriched, reconciled ledgers ruled by Unity Catalog. A semantic layer and driver graph guarantee metrics are outlined as soon as and trusted in all places, whereas AI accelerates ETL pipeline growth. Agentic planning brokers deal with variance evaluation, forecasting, simulation, and benchmarking, turning knowledge into narrative and motion. Databricks Genie powers the conversational layer, letting finance groups question trusted knowledge in pure language. Finance One exposes capabilities through MCP Servers, so exterior brokers plug straight into the identical trusted basis.
Hoonartek
CFO Intelligence – Conversational Finance Layer: Conventional dashboards present metrics, however lack contextual reasoning. By embedding Genie into finance analytics: Leaders can ask: “Why has NIM declined?”, Genie explains drivers throughout portfolios and dimensions, gives quick, contextual, and explainable insights. Final result: Quicker, insight-driven decision-making on the govt stage.
IBM
Finance Knowledge Management Tower: Finance leaders are being requested to forecast sooner, defend capital, and clarify volatility in language the board can act on. Finance Knowledge Management Tower with Genie offers CFO groups a conversational command middle throughout liquidity, capital, working capital, profitability, and forecast variance—turning ruled Lakehouse knowledge into natural-language solutions, state of affairs drilldowns, and board-ready narratives. IBM IBV’s 2026 Dynamic Finance analysis discovered solely 7% of finance organizations have operationalized AI-powered forecasting at enterprise scale, whereas solely 8% function with absolutely dynamic planning. Genie helps shut that hole by making trusted perception as accessible as asking the subsequent query in actual time.
Jarvis Consulting
Jarvis Insights Accelerator – Finance-Grade AI Analytics on Databricks Genie: Vitality finance groups nonetheless wait days for solutions their knowledge already has. The Jarvis Insights Accelerator, constructed on Databricks, is a finance-grade knowledge structure and AI analytics layer that lets these groups have real-time pure language conversations with trusted insights. It connects fragmented supply methods reminiscent of SAP, PI System, and ETRM right into a single ruled mannequin on Databricks Unity Catalog, with Databricks Genie pre-configured to grasp their enterprise, their terminology, and their knowledge. First area is stay in 4 to six weeks, absolutely managed or co-delivered. CFOs make capital choices earlier than the window closes, and each quantity is defensible.
KPI Companions
KPI Companions’ ProcurementIQ grounds AI procurement intelligence in stay enterprise contract and spend knowledge, powered by Databricks Agent Bricks, Lakebase, and Genie — enabling low-latency, multi-agent procurement workflows at scale throughout contract intelligence, spend optimization, and dealing capital administration. A hierarchy of specialist brokers – extracting contract intelligence, monitoring spend thresholds, surfacing early cost alternatives, and flagging compliance drift – work constantly on a unified Delta Lake basis, coordinated by a Supervisor agent that routes indicators into buyer-ready suggestions. The result’s a shift from reactive reporting to steady, agentic procurement intelligence compressing the hole between a dashboard sign and a industrial resolution from days to minutes. Learn this weblog to study extra.
Wipro
Wipro Resilience Modeling Suite for Planning: Wipro Resilience Modeling Suite for Planning is a tri-party built-in enterprise planning resolution collectively delivered by Wipro, Databricks, and BOARD, combining Databricks’ Lakehouse and Genie with BOARD’s enterprise planning capabilities and Wipro’s {industry} and transformation experience. It permits CFOs and FP&A groups to make use of pure language to evaluate tariff impacts, margin dangers, and multi-scenario outcomes throughout plan variations, with clear explanations of key monetary drivers. Constructed on ruled, trusted Lakehouse knowledge built-in with EPM methods, Wipro Resilience Modeling Suite for Planning ensures auditability and SOX alignment. By changing static dashboards with scenario-aware, explainable AI, it accelerates assured, volatility-ready planning choices at enterprise scale. Learn these blogs (1, 2, 3) to study extra.
Xebia
Finsight on Databricks Genie: Xebia Finance Agent(TM), is a conversational analyst for finance groups constructed on Databricks Genie. From a quarterly snapshot or board-ready abstract to a root-cause evaluation when a quantity shifts unexpectedly, it solutions plain-English questions in seconds, with the working clearly proven behind each single end result. No SQL, no spreadsheets, no BI backlog. Fast to deploy and straightforward to tune, finance groups form solutions themselves by natural-language directions and suggestions. Row-Stage Entry Management ensures that each consumer sees solely the information they’re permitted to entry, and that queries are read-only with audit-ready logic.
Provide Chain
Bitwise International
Proactive Provide Chain Intelligence Platform: Bitwise delivers a Provide Chain Intelligence resolution constructed on the Databricks Knowledge Intelligence Platform and Genie to assist organizations achieve real-time visibility and operational management throughout advanced provide chain ecosystems. The answer integrates knowledge from ERP, warehouse, logistics, and provider methods right into a unified analytics basis enriched with scalable knowledge engineering, configurable qc, and AI-driven insights. By leveraging pre-built provide chain fashions and machine studying, organizations can proactively detect disruptions, assess provider dangers, optimize stock choices, and enhance achievement efficiency. With Genie AI, enterprise customers can work together with provide chain knowledge conversationally, enabling sooner, smarter, and extra proactive operational decision-making. Learn this weblog to study extra.
EY
EY Provide Chain Optimization, constructed on Databricks, delivers a unified, AI-driven platform to enhance visibility, resilience, and efficiency throughout advanced provide networks. Leveraging Genie, enterprise customers can discover stock positions, provider dangers, and demand indicators by easy pure language interactions, eliminating reliance on technical groups. Behind the scenes, real-time orchestration of knowledge, optimization fashions, and agent workflows is going on whereas Unity Catalog ensures governance and traceability. This permits sooner state of affairs evaluation, proactive problem detection, and optimized choices throughout sourcing, stock, and logistics—driving effectivity, value discount, and improved service ranges.
LatentView Analytics
ConnectedView – Linked Enterprise Planning resolution by LatentView intelligently orchestrates end-to-end planning throughout the enterprise. It integrates knowledge, analytics, and AI-driven insights to sense dangers early and allow dynamic recalibration of provide chain choices. By aligning demand, provide, and monetary plans, ConnectedView enhances agility and resilience in advanced environments. The platform empowers organizations to optimize service ranges, cut back operational prices, and meet ESG aims. With steady monitoring and state of affairs simulation capabilities, it helps proactive decision-making, making certain companies stay responsive, environment friendly, and aggressive whereas navigating uncertainty in immediately’s quickly evolving provide chain panorama. Learn this weblog to study extra.
LTM
On Time in Full (OTIF) Threat Predictor: OTIF Threat Predictive Agent provides a proactive intelligence layer on prime of SAP execution to stop late or brief deliveries earlier than they occur. It ingests and standardizes order, stock, warehouse, and logistics indicators right into a ruled lakehouse function set, scores every order line for OTIF threat, and surfaces hotspots and immediately’s precedence worklist in dashboards. A predictive agent explains root causes in plain language (stock gaps, DC constraints, service/appointment points, blocks, ASN/docs) and recommends next-best actions reminiscent of reallocation, decide/pack reprioritization, service swaps, or appointment restoration. Actions are logged, enabling re-scoring, auditability, and steady studying to cut back penalties and cost-to-serve.
Cargo Delay Analytics: The Cargo Delay Analytics resolution is constructed end-to-end on Databricks, leveraging Delta Lake and Unity Catalog for ruled knowledge ingestion, storage, and entry management. Cargo knowledge is ingested into Databricks Lakehouse for scalable evaluation of delay causes, service efficiency, distance, and geographic tendencies. Databricks Genie permits enterprise customers to generate forecasts by pure language prompts with out heavy ML engineering. Outcomes are explored and shared utilizing Databricks SQL and Dashboards for visualization. Collectively, these Databricks parts allow proactive planning, operational optimization, improved SLA adherence, and enhanced buyer satisfaction by data-driven insights.
Buyer Service
Celebal Applied sciences
AICXM by Celebal Applied sciences transforms contact middle conversations into real-time, ruled enterprise intelligence on the Databricks Knowledge Intelligence Platform. By embedding agentic AI throughout the lifecycle, it delivers measurable affect, together with a 20% enchancment in CSAT, first contact decision reaching 82%, a 20% discount in dealing with time, and a 35% enhance in agent productiveness. At its core, Databricks Genie acts as a reasoning layer over Unity Catalog-governed knowledge, connecting behavioral indicators, compliance patterns, and CSAT drivers in actual time. AICXM eliminates “useless dashboards” by pure language interplay, surfacing stay, actionable intelligence that drives sooner choices and steady optimization. Learn this weblog to find out how AICXM and Databricks Genie are changing static reporting with dynamic, agentic reasoning to redefine contact middle excellence.
CGI
Name Heart Analytics AI: CGI and Databricks are serving to a number one US utility unlock the total worth of buyer conversations by turning name middle knowledge into real-time, enterprise-wide perception. By combining the Databricks Lakehouse Platform with AI-driven transcription, enrichment and pure language analytics utilizing Genie, the answer permits groups to research each interplay, uncover rising points sooner and act with confidence. Enterprise customers can discover tendencies, establish root causes and enhance buyer expertise with out counting on technical groups. The result’s a scalable, safe and ruled method that transforms contact facilities from operational value facilities into strategic perception engines that drive smarter choices and measurable enterprise affect. Learn this weblog to study extra.
IT Operations
CGI
AI Ticket Classification: CGI and Databricks are redefining incident administration by remodeling fragmented ticket knowledge into actionable intelligence. As an alternative of counting on inconsistent handbook triage, organizations can harness AI to unify structured and unstructured knowledge, enabling smarter classification and sooner prioritization at scale. By leveraging the Databricks Knowledge Intelligence Platform, groups achieve real-time visibility into tendencies, uncover root causes and proactively deal with systemic dangers. Conversational analytics with Genie additional accelerates resolution making by simplifying entry to insights throughout groups. This contemporary method reduces escalations, improves SLA efficiency and shifts operations from reactive response to proactive resilience, delivering measurable worth throughout advanced IT environments. Learn this weblog to study extra.
Hoonartek
Engineering Copilot – Conversational Troubleshooting: Engineering data is commonly locked in static paperwork and fragmented methods. Utilizing Genie with structured workflows: Convert SOPs, PDFs, and troubleshooting flows into Delta Lake, allow conversational queries for decision steerage, present step-by-step suggestions grounded in validated logic. Final result: Lowered MTTR, improved operational effectivity, and preservation of institutional data.
Tata Consultancy Providers
AgenticOps acts as a frontline resolution that may deal with excessive quantity incidents by extracting the problems and effectively classifying them by figuring out the underlying root trigger. This agentic AI resolution generates suggestions for the incidents associated to knowledge pipelines by referring the data sources, historic tables/decision tendencies and autonomously arriving at decision with / with out human in loop there by drastically decreasing the handbook and operational efforts. AgenticOps resolution leverages Genie areas to work together with the incidents coming in from varied sources which might be accessible in Unity Catalog. The mixed intelligence of Supervisor Agent together with Genie and data sources helps arrive at suggestions there by making certain well timed decision of incidents. Moreover Chat App performance inside AgenticOps permits stateful conversations utilizing Genie brokers to realize insights on the incident decision lifecycle. Learn this weblog to study extra.
Speed up Purposeful Outcomes with Companion Options
Whereas industry-specific use circumstances remedy distinctive vertical challenges, these cross-industry accelerators display that Genie is a flexible engine for enterprise-wide productiveness. Whether or not you’re optimizing gross sales, advertising, finance, procurement, HR, customer support or IT operations, our companions present the pre-built frameworks essential to scale pure language analytics throughout each division. Attain out to your Databricks account staff or these companions to study these options intimately and see how one can begin your personal Genie journey immediately.
Get Began with Brickbuilder Options and Accelerators
Discover our full set of associate options and accelerators on the Databricks Brickbuilder web page, together with AI, ML, and Knowledge Engineering targeted accelerators and {industry} targeted options.
