Scaling Enterprise Conversational Intelligence: Cross-industry Technology and Functional Solutions Powered by Databricks Genie

Scaling Enterprise Conversational Intelligence: Cross-industry Technology and Functional Solutions Powered by Databricks Genie | Databricks Blog

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Innovative partner solutions built on the Databricks Genie by leading consulting and SI partners

Supports technology and function-specific use cases across sales, marketing, HR, finance, procurement, supply chain, customer service and IT operations.

Features ready-to-deploy offerings leveraging Databricks Genie to accelerate enterprise AI transformation

As we explored in our first blog, Databricks Genie is redefining industry-specific outcomes by democratizing access to data through natural language. However, the transformative power of Genie extends far beyond industry use cases. At its core, Genie is a robust technology layer that addresses universal functional challenges - such as financial planning, legal compliance, and IT operations - that every enterprise faces regardless of their sector. By acting as a ‘Research Agent’, Genie can automatically generate multi-step research plans to explain business anomalies and back every answer with verifiable proof from the lakehouse.

To help organizations operationalize AI at scale, our partners have developed a suite of cross-industry technology and functional solutions. These solutions focus on streamlining cross-functional workflows, such as automated procurement assistants or self-service business glossaries, ensuring that intelligence is powered by real-time context rather than stale, static reports. Below, we highlight the leading cross-industry partner solutions that are helping teams get to insights faster and accelerate decision making through production-grade agentic workflows.

This blog showcases innovative partner solutions built on Databricks Genie across the following categories:

Technology Solutions

Sales

Marketing

Human Resources

Finance & Procurement

Supply Chain

Customer Service

IT Operations

Technology Solutions

Accenture AI4BI Command Center: Accenture and Databricks are engineering and productizing the AI4BI Command Center, a solution that shifts organization beyond contemporary BI interfaces towards a unified, governed, and agentic intelligence experience. Built on Databricks technologies and Accenture domain knowledge, the AI4BI Command Center provides decision makers with trusted, contextualized insight summaries, deep explanations, proactive alerts, what-if capabilities, and targeted recommended actions – all enabled by a rich dialoging with data interaction paradigm. The solution leverages a reusable architecture and deployment pattern that can be rapidly configured for new use cases, scaled across clients, and embedded into organizational workflows.

Aimpoint Digital AgentOps: Genie spaces are intended to be highly specific, built with a single data domain or specialty to ensure high accuracy, but what happens if you need to blend data from multiple Genie spaces? Aimpoint Digital’s multi-agent Genie system, powered by their Brickbuilder Accelerator AgentOps provides deep observability and a robust deployment framework. Customers can gain access to insights through a single chat interface backed by Lakebase for long term chat history, with a powerful custom supervisor agent capable of reasoning across multiple Genie spaces. Customers can use AgentOps to integrate with their business users via apps, slack, teams or wherever business decisions are made. AgentOps helps maintain focused Genie spaces while unlocking its true potential through a single customizable interface driving real, long-term adoption. Read this blog to learn more.

Avanade Avanade helps organizations turn Databricks Genie into a trusted, enterprise-ready conversational analytics capability. Beyond enabling natural language queries, they focus on what makes Genie work in practice—aligning data foundations, curating business semantics, and embedding governance through Unity Catalog. Avanade's approach ensures Genie delivers accurate, context-aware insights that business users can rely on, not just faster answers. By combining deep data engineering, AI, and industry expertise, they help clients reduce decision latency, scale self-service analytics, and operationalize AI-driven insights across domains. The result: faster, more confident decisions grounded in governed data, delivered where and when they’re needed. Read this blog to learn more.

Blueprint Technologies AI Factory: Engagement leads and business stakeholders can now ask their AI Factory portfolio data questions in plain English and get governed, traceable answers. Built on Databricks AI/BI Genie and grounded in Unity Catalog, Blueprint's AI Factory Template surfaces use case maturity progression, stakeholder action completion, risk registers, and milestone timelines—without writing SQL. Engagement managers track which use cases have reached production, executives monitor portfolio health against targets, and team members query pending actions by stage and responsibility type. Every answer traces back to the Delta Lake tables powering the AI Factory Workbench, with Unity Catalog ensuring consistent governance across engagements.

Capgemini Agentic-ready AI and data platform: Capgemini’s "Agentic-ready AI and data platform" offers a Databricks‑native acceleration designed to rapidly operationalize Genie as a governed conversational analytics layer within enterprise applications. It provides out‑of‑the‑box integration templates, enterprise architecture patterns, and best practices for embedding Genie into enterprise, including custom line‑of‑business apps. The accelerator is proven with a financial services industry‑focused KYC solution, delivering conversational intelligence, unified data foundations, and policy‑aware reasoning.

Celebal Tech Eagle Eye IQ by Celebal Technologies enables enterprises to move from reactive data monitoring to proactive, AI-driven data reliability on the Databricks Data Intelligence Platform. By unifying data quality, lineage, observability, and governance into a single intelligence layer, it helps teams detect issues earlier, understand downstream impact, and resolve root causes faster, reducing data incidents and operational overhead. Databricks Genie acts as the conversational interface over Unity Catalog-governed signals, allowing users to investigate anomalies, trace dependencies, and validate data trust in real time using natural language. Celebal Technologies explores this approach to continuous, explainable data operations in more detail in their Eagle Eye IQ data observability blog.

Agent Garage: Celebal Technologies’ Agent Garage extends the power of Databricks Genie from conversational analytics into enterprise-wide operational intelligence. Built natively on the Databricks Data Intelligence Platform, it enables business users to ask complex questions, uncover root causes, and trigger downstream actions through governed AI workflows. By connecting Genie’s intelligence layer with Agent Garage’s orchestration and execution capabilities, enterprises can operationalize insights across functions, from supply chain and manufacturing to energy and commercial operations. The result is a unified system where data, decisioning, and execution work together to drive faster outcomes. Explore this approach in their Agent Garage solution blog.

CausalX, by Celebal Technologies, is a Databricks-native decision intelligence platform that goes beyond dashboards and predictions to deliver real-time root cause analysis with quantified financial impact. Its deterministic causal engine isolates the true drivers behind every KPI deviation, while Databricks Genie turns those findings into a conversation, letting business users explore “what next” in plain English without leaving the agent panel. The causal engine owns the why; Genie owns everything after. The result is a governed, explainable loop from question to root cause to action, a continuous experience; leadership can trust, audit, and act on. Explore this approach in their CausalX solution blog.

CI&T The Single Interface Multi-Agent System for Genie Orchestration revolutionizes user interaction by providing a unified gateway that integrates multiple communication channels, including WhatsApp, Teams, and Gemini via A2A APIs. This system enables seamless access to various domains and Genie spaces, while also incorporating internal documentation for enhanced support. Central to this solution is a supervisor agent that intelligently assesses user requests, determining appropriate access rights and business context. It orchestrates interactions with specialized agents, ensuring requests are triaged effectively and routed to the correct domain. Additionally, Lakebase serves as a context memory, enriching session continuity and user experience. Read this blog to learn more.

Colibri Digital Colibri Digital’s Data Market Portal, Aviary, enables users to quickly find, understand, and access the right data for their needs without requiring technical expertise or specialist support. It is built as a Databricks Apps on their bespoke Hummingbird framework, which orchestrates end-to-end data pipelines from multi-source ingestion through to curated consumption. Data is ingested via their proprietary Colibri Foundry, and progressed through a structured transformation pipeline covering data cleansing, standardization, and modeling, resulting in governed, consumption-ready datasets. Through Aviary’s simple, intuitive interface, users can ask natural language questions—such as identifying datasets containing specific operational or customer insights. This is powered by Databricks Genie, which interprets user intent and performs context-aware searches across the catalog, leveraging metadata and tags to return relevant, governed datasets. Selected results are served back to the UI with ultra-low latency via Lakebase’s app-ready lakehouse synchronization. Read this blog to learn more.

Cognizant Hybrid Intelligence System: Enterprise teams drowning in siloed structured and unstructured data rarely get precise answers from off-the-shelf AI tools. Cognizant engineered a Hybrid Intelligence System on Databricks that routes natural language queries dynamically between Genie-powered SQL analytics and RAG-based document intelligence — all within a single MLflow serving endpoint. To support over 25,000 Genie calls, a semantic caching layer was built atop the architecture, eliminating 30–60% of redundant inference costs. The result: Expert research time slashed from hours to under a minute, 97%+ retrieval precision, and a multi-domain framework serving multiple specialized agent workflows on shared, zero-idle-cost serverless infrastructure. Read this blog to learn more.

Datapao Genie for Microsoft Teams - Conversational Analytics at Your Fingertips: Datapao's Conversational Analytics Hub embeds Databricks Genie directly into Microsoft Teams, bringing natural-language access to governed lakehouse data into the collaboration environment where business users already operate. The solution enables employees across functions to query trusted data assets, surface insights, and make informed decisions without switching tools or relying on technical intermediaries. Built on Unity Catalog, it ensures secure, governed access while accelerating the democratization of data across the enterprise. Proven in multiple enterprise deployments, the integration reduces time-to-insight, alleviates pressure on data teams, and expands Databricks adoption among non-technical personas in Teams-centric organizations.

The Datapao Hyper-Personalization Accelerator combines Databricks Genie and Lakebase to deliver real-time, individualized customer experiences at enterprise scale. The solution unifies analytical intelligence from the lakehouse with low-latency operational serving, enabling marketing, e-commerce, and customer experience teams to generate tailored recommendations, content, and offers with sub-second responsiveness. Business users can explore customer segments and validate personalization hypotheses through natural-language queries in Genie, while Lakebase powers the production-grade serving layer for live applications. Built on Unity Catalog for governed, compliant access to customer data, the accelerator provides a repeatable blueprint for operationalizing personalization across industries. Read this blog to learn more.

Deloitte Deloitte’s Neptune data portal embeds Databricks Genie to make analytics truly conversational. Connected natively to Unity Catalog, Genie lets business users ask questions in everyday language and get governed, ready-to-run SQL plus clear explanations, directly against certified data products. Users can combine and compare datasets across the catalog without needing to know where they live or how they’re structured, dramatically shortening the path from question to insight. As teams use Neptune, Genie is continuously tuned with their business vocabulary, KPIs, and context, so answers become progressively smarter, more relevant, and better aligned with how the business actually runs.

Delta Ledger by Deloitte makes Databricks cost management simple, transparent, and scalable. Deloitte’s proprietary solution gives business leaders and administrators one platform to create, edit, and monitor budgets across Databricks spend, workspaces, SKUs, and custom tags. Users can set time frames, configure alert thresholds, review active and historical budgets, and export reports for compliance or analysis. Integrated alerts and automated workflows keep notifications aligned with budget performance, while detailed visibility helps teams move from cost tracking to cost optimization. Deployment is fast through Declarative Automation Bundles which runs a series of workflows, tables and alerts, plus Databricks Genie to query financial data in natural language, enabling rapid setup and immediate access to advanced FinOps capabilities today.

Diggibyte LinguaGenie is an intelligent application built on top of Databricks Genie that transforms how users interact with data. It enables voice-based input and supports multiple languages, allowing business users to query data naturally without relying on technical skills or SQL. The app converts spoken queries into actionable insights, leveraging Databricks. It also delivers business-specific visualizations for finance, sales, and operations. These dashboards highlight trends and patterns instantly. LinguaGenie improves accessibility, accelerates decisions, and bridges data and business teams, offering a modern, inclusive, intuitive analytics experience for enterprises. It scales securely across organizations while reducing dependency on data experts cost efficiency. Read this blog to learn more.

DXC DXC is deploying Databricks Genie with clients across multiple industries, including telecommunications, public sector and numerous customers across retail, manufacturing and transportation. DXC helps clients use Genie to discover data through natural language search, improving data literacy and accelerating insight generation from client’s Databricks data. Genie is also incorporated as part of our AI-enabled data pipeline generation accelerators, enabling faster onboarding of new data products. Internally, DXC uses Genie as Customer 0 for analytics across staffing, sales, and operational use cases, and exposes it as an MCP Server for AI agents to access data in Databricks.

Entrada Entrada's Serverless Cost Control Accelerator unifies diverse cost telemetry - warehouse usage, job spend, business-unit allocation, system-level signals - into a single view of Serverless consumption. This accelerator replaces fragmented reporting with reusable cost models, telemetry pipelines, dashboards, and standardized chargeback workflows. Built-in Unity Catalog governance and Lakebase federation ensure secure, auditable, real-time cost attribution. Leveraging Genie Spaces, the accelerator enables teams to query spend, usage patterns, and cost drivers in plain language, surface inefficiencies instantly, and act decisively to reduce waste. Read this blog to learn more.

Entrada's DataPact is a Databricks-native migration validation and data quality accelerator that automates source-to-target reconciliation - replacing manual spot-checking with repeatable, auditable workflows. Using YAML-defined rules, Unity Catalog governance, Databricks SQL Serverless, and Delta-backed audit history, it powers faster sign-off, regulatory evidence, and CI/CD quality gates. At its core, Genie enables natural-language exploration of trusted validation outputs, letting business, governance, and engineering users ask questions about quality trends, failures, lineage, and sign-off readiness - no SQL required. Paired with AI/BI dashboards, DataPact turns validation into governed, business-ready insight. Read this blog to learn more.

Entrada’s Governance Atlas is a workspace-portable Databricks App accelerator that turns Unity Catalog into a product-grade governance operating surface. It unifies search-first discovery, lineage tracing, glossary management, native writeback workflows - eliminating metadata drift through authoritative updates pushed directly back into Unity Catalog. Delivered as governance-as-code via Databricks Asset Bundles, the accelerator ensures version-controlled, reproducible, and fully auditable deployments. Genie API and Lakebase integration enables agentic querying of the business glossary and production assets with actionable insights. Powered by Databricks SQL Warehouses, it scales concurrent metadata operations across the enterprise. Read this blog to learn more.

Everforth Apex

The Genie Reliability Layer is Everforth Apex's production pattern that transforms Databricks AI/BI Genie from a compelling demo into the system operations teams open first every morning. Built around five proven practices, separating SQL generation from execution, status-aware polling with graceful 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 evaluation. The result: auditable, reproducible answers, measurable P50/P95 latency, and reliability that compounds over time across utilities, energy, healthcare, and public sector deployments. Read this blog to learn more.

EY EY’s Intelligent Loan Document Processing solution, built on Databricks, brings together agent-driven automation and intuitive user interaction to simplify how banks handle complex loan data. Using Agent Bricks along with Genie Spaces and Genie Code, it can read, extract, and validate information from large volumes of unstructured loan documents, while keeping everything traceable and audit-ready. Teams can quickly search, question, and validate results through natural language, instead of digging through files manually. In practice, this means significantly less manual work (up to 60% reduction), faster turnaround on credit reviews, and more consistent, reliable outputs for downstream decision-making.

MET – Model Ecosystem Transformation: The Model Ecosystem Transformation focuses on making the model development lifecycle feel less fragmented and more product-like on Databricks. Teams use Genie Code and Genie Spaces to simplify how models are built, tested, and accessed, while AI/BI dashboards make outputs easier to consume for business users. Databricks Apps provides a clean way to package everything into re-usable App rather than scattered notebooks. Behind the scenes, Lakebase helps bridge the gap between analytics and realtime applications—supporting low latency model serving, state management for agent workflows, and seamless integration with governed data. This makes it easier to move from experimentation to production and actually operationalize models at scale.

EY - AI Ready Data (AIRD): EY AIRD, built on Databricks, gives financial institutions a more practical way to get to trusted, AI ready data without heavy engineering overhead. By combining Genie and Unity Catalog with a governed data layer, users can explore, transform, and validate data using simple natural language instead of relying on technical teams. Lakebase plays a key role on the operational side—serving curated data from the Lakehouse into low latency applications and workflows. The result is a platform that connects data engineering, AI, and business usage more tightly, reduces manual effort, and helps teams move faster from raw data to decisions with confidence and proper governance built in.

EY’s Self-Healing Data Quality (DQMX) solution, built on Databricks, combines automated data quality monitoring with agent-driven remediation to keep enterprise data reliable at scale. Using Genie Spaces and Databricks Apps, users can investigate anomalies, trace root causes, and trigger corrective actions through natural language rather than manual rule analysis. Integrated with governed data in Unity Catalog, DQMX continuously detects, diagnoses, and resolves data issues across pipelines. The result is ~50–60% less debugging time, ~40–50% improved rule creation efficiency, and consistently trusted data feeding analytics, AI models, and downstream business processes.

Fractal Analytics AI/BI Modernization with Databricks Genie: This solution accelerates retail decision intelligence by modernizing legacy Qlik reporting into Databricks AI/BI Dashboards and Genie-powered analytics. Built on a Databricks Lakehouse, it re-anchors data, semantics, and KPIs on Databricks to address tool sprawl, semantic inconsistency, and limited AI readiness. Databricks Genie enables business and analyst users to explore governed retail data using natural language, supporting exploratory, AI-led, and cross-domain analysis across sales, supply chain, promotions, and loyalty data. Critical Qlik content is rationalized and selectively migrated to Power BI for executive and operational reporting, while Genie and AI/BI Dashboards are used for high-change, high-question workloads. The result is higher trust in KPIs, faster decision-making, and a scalable foundation for AI/BI-led retail analytics. Read this blog to learn more.

Genpact GTransform: Genpact's GTransform converts legacy Alteryx, OBIEE, SAS, and Talend code into production-ready Databricks notebooks. The pipeline parses source files using a Knowledge Graph to map relationships and business logic accurately, then generates plain-English summaries for human review. Databricks Genie provides a conversational interface where reviewers can ask questions, explore workflow logic, and refine requirements before the AI produces final code, guided by Genpact's templates encoding best practices from previous engagements. A validation pass feeds errors back into generation, so each re-run produces cleaner code. What used to take weeks becomes a governed migration pipeline on Databricks.

GlobalLogic A conversational “talk -to-your-data” experience powered by Genie and embedded directly within GlobalLogic's Observation Deck application for executive dashboards, allows leaders to ask natural language questions about data behind their dashboards. Behind the scenes, an intelligent orchestration layer interprets the question, determines the most relevant Genie space, validates results against governance rules, and synthesizes a concise, executive-ready response, enriching it with additional insights, suggested actions and ad-hoc visual representations.

IBM The Data Steward Assistance Framework leverages Databricks Genie to revolutionize data governance by enabling data stewards to access quality and metadata insights through natural language queries. This AI-powered solution eliminates manual navigation of governance tables and SQL scripting, accelerating validation and cataloging tasks. Genie interprets user questions, generates optimized SQL, and presents results in an intuitive format. Predefined behavioral instructions, curated datasets, explicit table relationships, and reusable query patterns ensure accuracy and efficiency. The framework highlights governance gaps, visualizes data quality scores, and streamlines stewardship, empowering organizations to maintain robust data governance with minimal technical overhead. Read this blog to learn more.

iLink iLink's iCore Entity Resolution Accelerator eliminates fragmented master data by delivering a trusted Single Source of Truth — natively integrated with Databricks' Data Intelligence Platform and Unity Catalog. iCore enables scalable entity matching, merging, and resolution using fuzzy match logic and deterministic techniques, configured through an intuitive UI without lengthy MDM programs. By cleansing and unifying customer, patient, product, and supplier records directly within Databricks, iCore unlocks the full potential of Genie's AI-powered analytics on reliable, governed data. The result: elimination of duplicate records, consistent reporting, reduced operational inefficiencies, and AI-ready master data — all within a lightweight, enterprise-ready deployment model.

Infocepts Observability Solution: Enterprise Data & AI leaders face the multi-faced challenge of managing data platform costs, performance, pipeline health, and AI sprawl. Infocepts Databricks Observability built natively with Unity Catalog, Lakeflow, AI/BI Genie, AgentBricks, Lakebase, Databricks Apps addresses these needs proactively. It provides a governed intelligence layer which continuously observes, understands, decides, and optimizes the Databricks platform for cost, health and performance. It serves six personas — FinOps, Platform Engineers, Data Leaders, Data Engineers, Governance teams, and AI/ML Leads — each receiving role-specific, KPI-ready, AI-powered insights on one trusted platform. Check out the demo here.

Infosys DE.ai is an agentic AI–driven data engineering paradigm purpose-built for the Databricks ecosystem, enabling autonomous planning with context-aware code generation and human-in-the-loop validation. It integrates deeply with Databricks through Model Context Protocol (MCP) and is grounded in Delta Live Tables, Unity Catalog metadata and Genie. The solution delivers production-ready pipelines aligned with medallion architecture principles, embedding enterprise standards, governance, and security from the outset while reducing friction between business intent and deployment. Databricks Genie serves as a conversational AI layer empowering data engineers and analysts. It is ideal for greenfield Databricks implementations, legacy modernization from platforms like Informatica or Teradata, and organizations with stringent enterprise governance and compliance requirements.

DA.ai is an agentic, AI‑driven platform that transforms how engineers and analysts prepare, explore, and operationalize data. Its dual‑surface architecture combines rapid local productivity with enterprise‑grade scalability and governance, converting natural language into deterministic, explainable Python/SQL with full lineage. It enables seamless collaboration on governed artifacts, accelerating the path from exploration to production-ready Databricks pipelines. Through the Unity AI Gateway, DA.ai connects to enterprise AI models in a controlled manner, while deep integration with Unity Catalog ensures governance-first data access. Native connectivity to Lakeflow Spark Declarative Pipelines and shared assets enhances reliability. Leveraging Databricks Genie, DA.ai enables conversational analytics and semantic-layer-driven insights for business users.

Indicium AI AI/BI Migration Engine: AI/BI Migration Engine accelerates the transition from legacy BI tools such as Power BI to AI-native analytics on Databricks. The accelerator parses semantic models, extracts business logic, and converts metrics and queries into governed, AI-ready structures aligned with Unity Catalog. It enables immediate consumption through Databricks Genie, unlocking conversational analytics and what-if exploration for business users. By automating traditionally manual migration processes, it reduces effort, improves consistency, and shortens time-to-value. The solution also reduces reliance on license-based BI tools, lowering total cost of ownership while enabling scalable, usage-based analytics and driving enterprise-wide AI adoption. Read this blog to learn more.

Koantek Koantek Ascend AI/BI & Genie accelerates scaling Databricks Genie and AI/BI Dashboards from blueprint to enterprise rollout on Unity Catalog. Five horizontal modules (Genie Space Factory, MetricForge, ConvertBI, InsightEmbed, and OneDeploy) plus four industry accelerators (Healthcare, Financial Services, Retail/CPG, Manufacturing) collapse Genie space authoring from 10-15 days to 3 days per domain, auto-generate certified Metric Views from SQL and DAX, migrate Power BI and Tableau estates with parallel-run parity, embed Genie in external products, and roll out Genie UI to 100-500 users with reversible onboarding. The accelerator is customer-evidenced across semiconductor, professional services, life sciences, and manufacturing. Read this blog to learn more.

LatentView Analytics BrickShift is an AI-powered solution designed to accelerate migration from legacy BI platforms such as Power BI and Tableau to modern Databricks AI/BI environments. It enables seamless semantic layer conversion by translating proprietary calculations like DAX and LODs into standardized Databricks SQL. The platform automates dashboard replication, ensuring 1:1 visual consistency, while extracting metadata to map lineage and logic. BrickShift also performs AI-driven validation and reconciliation to ensure data accuracy. With built-in governance, role migration, and BI estate optimization, it delivers end-to-end modernization, improving scalability, efficiency, and decision-making across enterprise analytics ecosystems. Read this blog to learn more.

Lovelytics DocInsights: Lovelytics built DocInsight to show what's possible when AI meets the modern lakehouse. DocInsight automates the extraction of structured data from unstructured documents - contracts, drilling reports, tax filings, and more - using native Databricks capabilities including ai_parse_document and Agent Bricks. Extracted content lands directly in Lakebase, giving business teams a governed, queryable foundation for analytics from day one. Once data is structured, Databricks Genie transforms how users interact with it: instead of building queries, reviewers simply ask questions and get answers - straight from the documents themselves. The result is a full pipeline from raw PDF to business decision, built entirely on Databricks. Watch this demo and read this blog to learn more.

Mastek Mastek's Genie Intelligence Hub deploys the full Databricks Genie ecosystem as a production-ready, domain-agnostic platform. Business users across finance, operations, and commercial teams gain natural language access to live enterprise data through Genie Spaces — asking complex questions and receiving cited, governed answers without writing a single line of code. The Genie Research Agent performs autonomous multi-step analysis, surfacing root causes and business anomalies proactively. Integrated with Unity Catalog, Delta Live Tables, and Lakehouse Monitor, the accelerator includes Mastek's pre-built semantic layer library, domain data models, and self-healing pipeline templates — enabling organizations to realize business value from Genie in weeks rather than months.

MathCo Advanced Unified Response Analytics (AURA): Scaling Databricks AI/BI beyond the pilot team is where most enterprises discover what they didn’t build — governance policy, cross-domain orchestration, persistent memory, evaluation baselines. AURA is a Databricks-native accelerator that installs that missing layer before the pilot ends. Pre-built Domain Packs, Unity Catalog-enforced governance, and continuous evaluation pipelines compress rollout timelines by 40-60% — and prevent the orchestration debt that quietly kills most enterprise AI deployments. Production-grade, multi-domain Genie from day one. It enables reusable orchestration, governed scalability, and faster enterprise adoption across domains. Watch this demo and read this blog to learn more.

Perficient Perficient's Genie-Ready BI Migration Accelerator automates the discovery, profiling, and Unity Catalog preparation required to replace Azure Synapse and Power BI workloads with AI/BI Genie on Databricks. An agentic discovery layer crawls existing BI reports and source datasets, profiles schema semantics and data quality, and evaluates Unity Catalog metadata readiness, flagging which assets are immediately Genie-ready versus those requiring remediation before natural language queries return trusted answers. The accelerator generates UC-aligned business definitions, semantic tags, and data quality recommendations that power Genie's conversational analytics layer, compressing the migration of thousands of BI assets from months to weeks.

GenieClaw with Governed Hierarchical Assistant Standards on Databricks: GenieClaw is an enterprise-grade, Databricks‑native autonomous operations agent that operationalizes governance—not just automation. GenieClaw embeds governance, precedence, and auditability directly into how automation is designed, deployed, and executed. The Hierarchical Assistant Standards Architecture illustrates this philosophy in practice—demonstrating how GenieClaw enforces corporate, departmental, and project‑level controls without bypassing Databricks’ native security or enterprise operating models.

Persistent Systems iAURA Semantic Data Modeler accelerates the creation of a governed semantic layer on Databricks by standardizing business metrics, dimensions, and definitions directly on the lakehouse. It assists in extracting existing business logic from BI tools and curated Gold data, converts it into platform-native semantic constructs such as Unity Catalog Metric Views, and enriches them with AI-ready metadata. This enables consistent metric computation across Databricks-native dashboards, SQL, APIs, and conversational analytics. By separating business meaning from physical data structures, iAURA enables scalable self-service analytics, improves Genie answer accuracy, and reduces metric drift without requiring changes to existing data pipelines. Read this blog to learn more.

Slalom One of Slalom’s public sector customers is modernizing emergency response by using AI-powered tools like LakeSpeak, Slalom’s MCP powered Brickbuilder accelerator, to create dynamic, real-time Situation Reports. This enhances decision-making, reduces manual reporting, and offers an AI assistant for targeted data queries during disasters. LakeSpeak delivers a secure, standardized gateway to expose Databricks Genie and Lakebase to external apps, agents, and enterprise users - without duplicating logic, breaking governance, or rewriting integration patterns. Read this blog to learn more.

SoftServe SoftServe Genie Express is an accelerated AI adoption pattern relying on Databricks built-in capabilities for conversational analytics, semantic modeling, and governance. Within 4 weeks SoftServe will analyze customer's business use cases and the data available in their Lakehouse, and stand up Genie spaces backed by tailored Unity Catalog Business Semantics models and individual Knowledge Stores providing agents with rich use case context. Customers receive conversational chat bots for access via Databricks Genie, embedded into their applications, or integrated into a wider agentic ecosystem via Conversational API. Watch this demo and read this blog to learn more.

SoftServe IDP with Databricks Genie: Not all business intelligence lives in data warehouses - a huge portion of it is locked in unstructured documents: invoices, claims, contracts, forms and more. Unlock the value of enterprise documents with SoftServe Intelligent Document Processing solution built on Databricks Document Intelligence and Genie. Seamlessly ingest content from SharePoint, Google Drive, and other repositories and apply advanced AI to understand unstructured data. Automatically classify content, extract key data points, and transform information into structured document models. Use Databricks Genie to search individual documents, answer governance and audit questions, extract business insights, and navigate content with confidence. Read this blog to learn more.

Solita Solita BenchForge for Databricks Genie is a benchmark‑driven accelerator for Databricks Genie that helps teams evaluate and refine Genie Spaces using native Genie APIs instead of manual trial and error. It treats Genie Space curation as a measurable workflow: exporting a space, applying a candidate serialized_space revision, running benchmark questions through the Conversation API, and comparing before‑and‑after results to detect improvement or regression. The current repository demonstrates this core loop with a working benchmark harness, Genie API client, and comparison artifacts. Unity Catalog context, DSPy integrations, or optional GEPA‑based patch generation can extend the workflow over time. The core value today is a repeatable, evidence‑based Genie Space evaluation loop. Read this blog to learn more.

Syren Cloud GenieBoost is an Intelligent Metadata Engineering accelerator born from SyrenCloud’s extensive experience fine-tuning and deploying Genie for global enterprises. Recognizing that scaling Databricks’ Genie best practices is a manual bottleneck, GenieBoost automates the semantic enrichment of Unity Catalog metadata via a proprietary Semantic Intelligence Engine. It transforms raw schemas into high-fidelity business logic, backed by a first-of-its-kind Autonomous Evaluation Loop. This system deploys automated benchmarks to continuously audit and self-heal the semantic layer. By codifying expert-level setup standards suggested by Databricks, GenieBoost ensures every Genie Space is production-ready, governed, and precision-tuned for enterprise-scale AI/BI adoption.

Systech Solutions AgentBuild: Business teams are still waiting for answers. Reports get built, dashboards get shared, and decisions still get delayed. AgentBuild changes that. In four weeks, Systech takes one real business use case - sales pipeline, financial planning, customer retention, supply chain - and delivers a production-ready AI agent on Databricks that business teams own and operate from day one. It asks their data questions the way people do, in plain language. It acts on the answers. It is powered by Databricks Genie for trusted data retrieval, governed by Unity Catalog, and built for customer's business - not a proof of concept. Watch this demo on insurance fraud detection with AI on Databricks Genie and read this blog to learn more.

Tech Mahindra The Data Product Manager is an agentic AI-powered solution built on the Databricks Lakehouse that helps enterprises transform metadata into high-quality, business-ready data products. Leveraging Databricks Agent Bricks and Genie, it uses a supervisor–worker multi-agent architecture to automate the complete “Ideate to Insight” lifecycle. This includes discovering and prioritizing use cases, designing reusable data assets, managing dependencies, and delivering governed, consumable data products. By minimizing manual effort and standardizing best practices, the solution accelerates time-to-value, improves data consistency, and enables organizations to scale data product creation efficiently while aligning data initiatives closely with business outcomes.

Talk To Data: Talk To Data lets business users ask questions and get insights from enterprise data using natural language—no