Introducing Databricks Cross-Industry Partner Accelerators for Agentic AI, GenAI and LLMOps

The potential of generative AI to transform businesses is no longer a distant phenomenon - it is a present reality. Worldwide spending on generative AI is forecasted to reach $644 billion in 2025, according to Gartner. This is an increase of over 76% compared to 2024, driven by investments in services, software, and devices. Bloomberg predicts the market will surpass $1.3 trillion globally by 2032. From Fortune 500 enterprises to agile startups to small and medium businesses, organizations are rapidly moving from experimentation to building live, production-ready AI applications. However, this journey is not without its challenges. The path from a compelling proof of concept to a scalable, secure, and governed application requires more than just a powerful model; it demands high-quality and relevant data, a robust, end-to-end framework and enabling, scalable and reliable technologies. This is where the Databricks Data Intelligence Platform comes in, providing the unified foundation for data, analytics, and AI.

Success in the age of GenAI goes beyond using a large language model. It is about the entire operational lifecycle. It is about ensuring your data is clean and accessible, that you can measure and improve accuracy of the AI models, that you can apply security and governance uniformly over your data and AI, and that your AI systems can reason and act autonomously. However, building this from scratch is complex and time-consuming. To accelerate this critical journey, Databricks has partnered with a diverse ecosystem of industry-leading consulting and system integrator partners to create a series of cross-industry AI accelerators. These pre-built accelerators are designed to address the most pressing challenges companies face, from achieving high quality and accuracy to governance and security.

This is the first blog, in a series of three blogs, to help our customers find the right AI accelerator that meets their needs. The accelerators featured in this blog are partner IPs that have been rigorously validated by Databricks Partner Solutions Architects and the Brickbuilder team. These accelerators are built on the Databricks Data Intelligence Platform, and leverage Databricks Mosaic AI technologies such as Model Serving, Vector Search, Agent Framework and Evaluation, Managed MLflow AI Gateway or Agent Bricks, along with core Databricks capabilities like Lakehouse Monitoring and Unity Catalog. Through these AI accelerators, customers can tap into our partners’ expertise on demand, filling key skill gaps, accelerating innovation,and bringing generative AI-powered solutions to market faster. Additionally, customers can reduce their costs and hedge their risks through proven implementation methodologies.

In this blog, we will explore four types of innovative partner GenAI offerings:

1. Agentic AI Systems: Partner accelerators that provide pre-built agents for specific business functions (e.g., customer service, sales, finance) or frameworks for building custom agents.
2. Cross-Industry GenAI Use Cases: Partner accelerators that are designed to solve specific problems across industries (e.g., an accelerator for intelligent document processing that can be adapted for retail, financial services, and healthcare and life sciences).
3. Cross-Industry GenAI Frameworks: Partner frameworks that provide the underlying architecture and best practices for enterprise-grade GenAI implementations.
4. LLMOps Accelerators: Partner accelerators that simplify LLM lifecycle management, enabling rapid and responsible deployment.

Featured partners include Advancing Analytics, Aimpoint Digital, Blueprint, Celebal Technologies, CGI, Computomic, Diggibyte, DATAPAO, Elastacloud, Entrada AI, Exponentia.ai, Genpact, Impetus, Infosys, Koantek, LatentView, Lovelytics, MACNICA, Mutt Data, Neudesic, Slalom, Thorogood, Tiger Analytics, Tredence, Valcon, and Wipro.

Agentic AI Systems

Agentic AI systems go beyond simple Q&A chatbots. They are autonomous, goal-oriented systems that can reason, plan, and take action to complete complex, multi-step tasks without constant human intervention. They are designed to augment human workers and automate entire workflows by interacting with other systems and data sources. Agentic AI systems can act autonomously or with human-in-the-loop to achieve complex business goals.

According to Boston Consulting Group’s AI at Work 2025: Momentum Builds, But Gaps Remain report, three out of every four employees believe AI agents will be vital for future success. Yet only 13% say these tools are currently integrated into workflows, and just one-third understand how they function. The following partner offerings help kickstart Agentic AI development and deployment of AI agents that are embedded in customers’ workflows:

• Celebal Technologies Agent Garage
• Diggibyte’s Aladdin
• DATAPAO Deep Agentic AI Accelerator
• Elastacloud Deep Data Analysis
• Exponentia.ai AIXponent
• Koantek AscendAI Agent Factory
• Lovelytics Taxonomy Agentic AI Accelerator
• MACNICA Agentic Jump Starter Package
• Neudesic AI Concierge
• Thorogood Agentic Implementation Framework
• Tiger Analytics Tiger Forge
• Tredence Decision Intelligence with Agents
• Valcon Agent Management Solution

Celebal Technologies Agent Garage

Agent Garage eliminates app-centric friction by enabling faceless ERP operations where business intent converts to automated action across enterprise systems within minutes. Manufacturing teams achieve 85% reduction in unplanned downtime through automated predictive maintenance. BFSI institutions accelerate loan processing from 30 days to 4 hours. Healthcare systems reduce nursing administrative burden by 75% while automating 90% of patient interactions. Through Subject Area Architecture, BYOA Federation with A2A Protocol integration, and complete prompt-to-outcome observability, Agent Garage delivers enterprise governance with audit compliance. Built on Databricks Mosaic AI Agent Framework, it integrates natively with Unity Catalog, Lakeflow, MLflow, and Agent Bricks.

Read this blog to learn how Agent Garage enables businesses to automate complex workflows across critical enterprise scenarios across Manufacturing, BFSI, Healthcare, Energy, and Retail sectors.

Diggibyte’s Aladdin

Aladdin, powered by Databricks, is a Generative AI platform with an advanced agent-driven architecture that helps enterprises unlock their information landscape's potential. It breaks silos, reasons across systems, and transforms scattered inputs into actionable insights. Unlike conventional tools, Aladdin understands intent, analyzes complex relationships, and provides business-ready recommendations enriched by Databricks' analytics foundation. Designed with flexibility and governance, it supports finance, operations, supply chain, and customer functions while maintaining privacy and compliance. By automating analysis, surfacing patterns, and guiding execution, Aladdin removes friction from decision-making, enabling teams to focus on measurable business impact and convert complexity into strategic advantage.

Read this blog to learn more about how Aladdin helps you unlock the full potential of your enterprise data.

DATAPAO Deep Agentic AI Accelerator

DATAPAO's Deep Agentic AI Accelerator is a next-generation, multi-agent intelligence system powered by Databricks that transforms how enterprises interact with data. It breaks down complex questions into data-backed narratives with full transparency, traceability, and governance. The platform delivers deep insights beyond surface answers, offers modular customization without complexity, and ensures enterprise-grade security and compliance. Integrating seamlessly with existing data stacks, it delivers a fully working solution within two weeks. Enhanced with Microsoft Teams and Slack integration, AI agents securely access company data and collaborate in real time—answering questions, summarizing threads, and escalating insights across departments.

Read this blog to learn more about how the Deep Agentic AI Accelerator is fast, transparent, customizable, and secure.

Elastacloud Deep Data Analysis

Elastacloud's Deep Data Analysis accelerator streamlines in-depth reporting by pulling from multiple sources, automating visuals, and enabling reusable workflows. It delivers rapid, AI-powered report generation from all data sources, customizable templates for any reporting need, and instantly searchable reports with Q&A interfaces. Built on Databricks Mosaic AI for intelligent analysis, AI Genie Agents for automated workflows and persona-specific reporting, Databricks Vector Search for fast querying, and Azure Data Services for scalable integration, the solution connects data sources, assembles and analyzes data, generates customizable templates, and indexes reports for on-demand insights—eliminating repetitive manual report building.

Read this blog to learn how Elastacloud’s Deep Data Analysis Accelerator transforms how teams produce long-form reports.

Exponentia.ai AIXponent

AIXponent, the Agentic AI Accelerator built on the Databricks lakehouse, empowers enterprises to unify siloed data, orchestrate autonomous decisioning, and operationalize Generative AI responsibly at scale. Leveraging the Agentic RAG Framework, it enables rapid build, testing, and deployment of domain-specific AI agents within just four weeks. Engineered for enterprise-grade scalability, governance, and explainability, AIXponent has demonstrated tangible outcomes—achieving up to 90% faster insights and 80% improvement in sales enablement. By integrating Databricks’ Unity Catalog with Exponentia’s applied AI expertise, AIXponent transforms enterprise data into adaptive, autonomous agents that continuously learn, reason, and act—driving measurable business impact across sales, marketing, supply chain, and customer engagement.

Read this blog to learn more about how Exponentia AIXPonent helps you transform enterprise knowledge into action.

Koantek AscendAI Agent Factory

Koantek’s AscendAI Agent Factory redefines how enterprises build and deploy AI agents on Databricks. Powered by Agent Bricks and DSPy’s “programming over prompting” paradigm, it enables businesses to generate complete agent projects using pre-built templates such as Text Classifier, Data Extraction, or SQL Generator, or through custom specifications. Every agent is production-ready with built-in governance, including MLflow tracking, Unity Catalog security, inference monitoring, and HIPAA/Basel III compliance. With automated code generation, evaluation metrics, and optimization frameworks like BootstrapFewShot and MIPRO, AscendAI accelerates innovation, reduces development costs, and delivers scalable, governed AI agents across the enterprise. Now, businesses can build powerful, secure AI agents in days instead of months, so teams can focus on using AI, not struggle to create it.

Read this blog to learn more about how Koantek’s AscendAI Agent Factory Accelerator can help you redefine how you build and deploy AI agents.

Lovelytics Taxonomy Agentic AI Accelerator

The Taxonomy Agentic AI Accelerator automates taxonomy generation and metadata enrichment on the Databricks Data Intelligence Platform. By combining Compound AI orchestration with multimodal LLM-driven classification and internal and external tool integration, it delivers consistent and scalable taxonomies across industries like manufacturing, retail and CPG, and travel and hospitality. The accelerator improves product discovery, analytics, and personalization while reducing manual tagging costs—unlocking faster launches, higher conversion, and new revenue opportunities.

Read this blog and case study for additional details about how this accelerator improves findability, analytics, and revenue outcomes while reducing manual effort.

MACNICA Agentic Jump Starter Package

MACNICA’s Agentic Jump Starter Package supports customers from small-scale to full-scale production deployment of AI agents. In addition to building AI agents, they provide end-to-end services including monitoring, evaluation, cost management, and security/governance.

Neudesic AI Concierge

Neudesic AI Concierge is a scalable agentic AI accelerator that handles high-volume customer inquiries with speed and accuracy. Built on Databricks, it deploys intelligent agents that coordinate tasks like searches, bookings, payments, and support across web, mobile, and voice channels—integrating seamlessly with existing CRM/ERP systems. With multi-agent orchestration, multilingual support, and built-in governance, it reduces manual work and scales personalized support. In production, outcomes include processing over 4M queries with 93% autonomous resolution, delivering operational savings by automating repetitive tasks. This Databricks-powered solution bridges the gap between customer expectations and business capabilities, bringing speed and personalization to every interaction.

Read this blog to learn more about how Neudesic’s AI Concierge on Databricks helps enterprises scale agentic AI for smarter, faster, and more personalized customer experiences.

Thorogood Agentic Implementation Framework

Thorogood's Agentic Implementation Framework accelerates enterprise-grade design, delivery, and adoption of agentic AI systems using Databricks Mosaic AI and Agent Bricks. Following a structured, stepping-stone approach, from a 1-day visioning workshop through rapid pilot development to iterative refinement, it keeps business goals and tangible value at the forefront. Each step emphasizes practical progress, measurable outcomes, and organizational alignment, ensuring early wins and continued impact. By integrating Thorogood's metadata-driven data flow and quality frameworks within a Databricks lakehouse, the approach accelerates time to value while maintaining governance, scalability, and adaptability, moving organizations from AI aspiration to production-ready solutions in weeks.

Read this blog to learn how Thorogood’s structured approach to agentic AI system development keeps business value at the forefront and delivers value in a matter of weeks.

Tiger Analytics Tiger Forge - AI Agent Development and Management Platform

Tiger Analytics' Tiger Forge is an AI Agent Development and Management Platform that simplifies how enterprises build, deploy, and scale GenAI-powered agents. It addresses high build costs, fragmented workflows, and governance challenges through an intuitive no/low-code environment. The platform features a visual Agent Builder for non-technical users, multi-workflow integration across diverse systems, and an Agent & Prompt Gallery with pre-built templates for faster development. Agent Observe provides unified dashboards for tracing, logging, and monitoring. With built-in role-based access control, cost tracking, and observability, Tiger Forge reduces development time, enhances scalability, and ensures strong governance—empowering teams to focus on innovation.

Read this LinkedIn post to learn more about how Tiger Forge can help you redefine how you build, deploy, and scale GenAI-powered agents.

Tredence Decision Intelligence with Agents

Use AI Agents for Decision Intelligence: Gain insights and recommendations that drive actions on your behalf. The Tredence Decision Intelligence with Agents accelerator on Databricks enables document and data processing to address key business challenges in managing and extracting insights from large-scale, complex enterprise environments.

Valcon Agent Management Solution

Valcon's Agent Management Solution helps regulated industries embed compliance-by-design into AI development, addressing EU AI Act requirements. Leveraging Databricks Unity Catalog, Mosaic AI, and MLflow, it automatically detects and registers any AI application modification—prompts, parameters, or code—within the CI/CD pipeline. Each version is validated against curated datasets through automated Databricks labeling sessions, enabling business experts to assess quality before deployment. Framework-agnostic and compatible with LangGraph and MLflow-supported models, the solution schedules periodic labeling to monitor model drift. By unifying model versions, evaluations, and approvals within Databricks, organizations gain fully traceable AI performance records, meeting regulatory expectations and operationalizing compliant LLMOps workflows.

Read this case study to learn more about how Valcon accelerates AI use cases on Databricks.

Cross-Industry GenAI Use Cases

Generative AI's power lies in its ability to be a cross-functional and cross-industry technology. From generating personalized marketing content to optimizing supply chains to gaining insights from customer service interactions, GenAI's applications are limited only by our creativity. Businesses are moving beyond foundational models to apply them to specific, high-value use cases that drive tangible ROI. In fact, the use of generative AI in at least one business function more than doubled from 33% in 2023 to 71% in 2024, according to the Stanford Institute for Human Centered Artificial Intelligence (HAI) 2025 AI Index Report.

The accelerators listed below can speed up the corresponding use case-specific implementations for some of the top cross-industry use cases:

• Advancing Analytics Document Mining IP
• Computomic RAG Chatbot
• Diggibyte AI Compliance Agent
• Elastacloud BI Report Search
• Exponentia AI’s OneTap
• Genpact Finance One
• Impetus RAG AI Playground Accelerator
• Impetus Sentiment Analysis Accelerator
• Infosys Cyber Detection Accelerator
• LatentView MARKEE
• Mutt Data GenAI Powered Analytics Accelerator
• Neudesic Intelligent Customer Experience Platform
• Slalom GenDocIQ
• Tiger Analytics Contact Center Copilot

Advancing Analytics Document Mining IP

Advancing Analytics' Document Mining IP transforms unstructured documents into structured insights using the Databricks Data Intelligence Platform. Supporting PDFs, Word files, and scanned images, it uses advanced AI to extract entities, relationships, and summaries. Built entirely on Databricks with MLFlow, Unity Catalog, Workflows, and Model Serving, the accelerator is secure, scalable, and production-ready. Outputs are delivered in analytics-ready formats, and the solution is already deployed with multiple customers. With packaged notebooks, workflows, and documentation, organizations can start without sharing their own data or infrastructure and see results in under two weeks.

Read this blog to learn how Document Mining IP helps organizations address the challenge of unstructured data and extract value.

Computomic RAG Chatbot

Computomic’s Data & AI experts have built a solution to enable access to fragmented enterprise knowledge in SQL Server and SAP HANA by building a secure, scalable Generative AI solution on the Databricks Data Intelligence Platform. The solution unifies Data in Delta Lake, with governance via Unity Catalog. Unstructured documents are processed with Mosaic AI to enable a RAG pipeline that delivers highly context aware responses. Three chatbots Product Intelligence, Sales Assistant, and a Product Recommender, leveraged Genie Space, role-based access, and multi agent AI for insights, recommendations, and secure data access. Integrated with Microsoft Teams, this architecture ensures enterprise grade security, observability, and seamless collaboration. Thereby driving faster insights, better decision making, and improved productivity across departments.

Read this white paper to learn how Computomic can help you quickly build a Gen AI application.

Diggibyte AI Compliance Agent - Your Compliance Officer

AI Compliance Agent is an autonomous solution built on the Databricks Data Intelligence Platform that navigates sustainability and reporting regulations. Covering CSRD, GRI, SASB, SEC climate rules, and EU Taxonomy, it continuously tracks evolving frameworks, reducing manual effort and minimizing risks of errors and penalties. Unlike fragmented, reactive processes, it validates disclosures, standardizes reporting, and accelerates audits with accuracy and transparency. Finance, sustainability, and legal teams collaborate seamlessly on a unified platform, enabling proactive decision-making and reinforcing brand trust. The solution transforms compliance from a cost center into a Databricks-powered engine of credibility, resilience, and long-term value.

Read this blog to learn how AI Compliance Agent helps you break down silos and unify enterprise data.

Elastacloud BI Report Search

Elastacloud's BI Report Search empowers teams to discover insights instantly by asking questions in everyday language and accessing context-rich Power BI reports seamlessly. It delivers instant natural language answers from BI data, enables deep dives into complete dashboards for full context, and drives adoption by combining self-serve AI with expert business reports. Built on Databricks Vector Search for quick indexing, Unity Catalog for security and permissions, Power BI QnA for natural language querying, Databricks Foundational Models for AI-driven search, and AI Genie Agents for secure data connections, users ask questions in plain English and receive instant answers with links to comprehensive Power BI dashboards.

Read this blog to learn how Elastacloud’s PowerBI Report Search Accelerator turns enterprise knowledge into a direct conversation.

Exponentia.ai OneTap

OneTap is an AI and data-native Sales Acceleration Platform engineered for future-ready enterprises, seamlessly integrating Conversational AI and predictive analytics to elevate every stage of the sales lifecycle. Powered by the Databricks lakehouse, OneTap unifies data ingestion, processing, and machine learning to deliver real-time, governed intelligence at scale. It empowers teams with lead intelligence for dynamic prioritization, influencing factor analysis, and AI-driven recommendations; enables sales reps through 360° deal visibility, contextual learning, and CRM-integrated actions; and drives performance management with personalized analytics and real-time improvement insights.

Read this blog to learn more about how Exponentia.ai’s OneTap helps you unlock voice-powered sales intelligence.

Genpact Finance One

Genpact Finance One on Databricks unifies fragmented financial data, resolving poor data quality and inconsistent reporting through a single source of truth. Key capabilities include near real-time granular data from multiple sources, unified reporting with intuitive interfaces, predictive analytics for actionable forecasts, and autonomous AI agents enabling natural language queries with prescriptive alerts. The solution improves EBITDA by 5+% and increases headroom by 50%. Built on Unity Catalog with a finance Lakehouse linking source data through an enterprise ledger to semantic models, it uses Mosaic AI for forecasting and driver-based Connected Planning, while AI/BI Genie and Agent Bricks enable conversational analysis, scenario planning, and proactive alerting.

Read this blog to learn how Finance One helps you modernize your data and transform finance into a proactive, insight-driven business partner.

Impetus RAG AI Playground Accelerator

The Impetus RAG Playground Accelerator, built with Databricks, helps enterprises move from GenAI experimentation to production-ready solutions quickly. Designed for Retrieval-Augmented Generation, it enables teams to test, compare, and optimize AI models on their own data. Powered by Databricks Vector Search, Mosaic AI Agent Evaluation, MLflow, and the Data Intelligence Platform, it provides a unified environment to balance accuracy, latency, cost, and scalability. Through a low-code interface, teams rapidly prototype, perform side-by-side comparisons, track metrics, and debug with transparency. Seamlessly integrating with existing MLOps pipelines, it simplifies moving from proof-of-concept to enterprise deployment—derisking GenAI adoption and unlocking measurable business value.

Read this blog to learn how a global payroll leader scaled GenAI with the RAG AI Playground.

Impetus Sentiment Analysis Accelerator

The Impetus Sentiment Analysis Accelerator, built on the Databricks lakehouse and powered by LLaMA 3, transforms unstructured feedback into real-time actionable intelligence. Processing data from surveys, reviews, social media, and internal channels, it automates the entire sentiment lifecycle—from ingestion and transformation to aspect-based classification and executive summaries. Leveraging DSPy for prompt optimization and MLflow for governance, it ensures accuracy and transparency at scale. The solution automatically synthesizes findings into contextual summaries highlighting top issues and emerging trends, while RAG-powered conversational assistants enable natural language interaction for deeper exploration—transforming raw feedback into competitive advantage that improves customer experience and drives growth.

Read this blog to learn how sentiment analysis is transforming enterprise decision-making.

Infosys Cyber Detection Accelerator

Infosys Cyber Detection Accelerator delivers unified, contextual, and automated security insights to enhance visibility, predict incidents, and accelerate cybersecurity realization by up to 40%. It empowers CISOs and CDOs through proactive detection and remediation, featuring unified security data, integrated operations, scalable processing, AI-driven security, and cognitive decision-making. Built on Databricks Data Intelligence Platform, it leverages Delta Lake for unified data, powerful processing capabilities, and Mosaic AI for cognitive decisioning. The solution comprises four towers - Threat Modeling, Prevention Modeling, Detection Modeling, and Response Modeling - realized through Mosaic AI and Agent Bricks capabilities.

LatentView MARKEE

MARKEE is LatentView's AI-powered campaign management solution that helps marketers plan, design, execute, and monitor campaigns with speed and precision. It streamlines the entire lifecycle by automating workflows, offering real-time performance insights, and generating on-brand creative recommendations. MARKEE enables teams to launch campaigns 70% faster, cut creative development time by 70%, and run 3X more campaigns without added effort. Its AI-driven recommendations highlight winning strategies while maintaining brand identity, letting teams focus on creativity instead of operational bottlenecks. With modular architecture that integrates seamlessly with existing tech stacks, MARKEE delivers smarter campaigns, stronger engagement, and measurable business impact.

Read this blog to learn more about how MARKEE’s GenAI agents effortlessly orchestrate each stage of the campaign lifecycle.

Mutt Data GenAI Powered Analytics Accelerator

Many industries face the challenge of making data-driven decisions while leveraging customer insights, which is crucial for maximizing customer satisfaction. However, gathering and interpreting this data is often difficult for non-technical professionals. The GenAI-Powered Analytics Accelerator from Mutt Data democratizes analytics by combining natural-language querying, AI-driven BI, and real-time data streaming. The accelerator is powered by the Databricks Data Intelligence Platform, bringing together Genie for AI-powered BI, Mosaic AI for model serving, evaluation, and tool integrations, and Unity Catalog for governed, cross-domain data access. Now, non-technical users can ask questions and receive grounded, actionable answers—instantly and securely - allowing them to unlock use cases like better understanding customer insights and sales forecasting, gaining marketing intelligence, and measuring promotional effectiveness.

Read this blog to learn more about how Mutt Data is helping businesses close the gap between data complexity and business agility.

Neudesic Intelligent Customer Experience Platform (ICXP)

Neudesic’s Intelligent Customer Experience Platform (ICXP) is a Databricks Brickbuilder Accelerator unifies the five stages of customer engagement - Attract, Onboard, Service, Retain, and Advocate - into one intelligent, continuously learning system. Built on the Databricks lakehouse, ICXP transforms real-time data into predictive, proactive, and personal experiences at scale. Lakeflow Declarative Pipelines drive ingestion, Delta Lake ensures trusted data, Unity Catalog enforces governance, MLflow tracks models, and Mosaic AI powers AI copilots across industries. From churn prediction to onboarding optimization, ICXP helps organizations move beyond transactions and deliver experiences that anticipate and adapt. Powered by Databricks. Delivered by Neudesic.

Read this blog to learn more about how Neudesic Intelligent Customer Experience Platform (ICXP) can help you transform customer engagement into proactive, intelligent experiences.

Slalom GenDocIQ

Slalom’s GenDocIQ is a streamlined accelerator that helps AI engineers rapidly design, build, and deploy Retrieval-Augmented Generation (RAG) models. This cutting-edge approach blends the reasoning power of large language models (LLMs) with tailored retrieval from your organization’s own data — producing outputs that are accurate, relevant, and explainable. Smarter document workflows. Faster insights.

Read this blog to learn how to turn pilots into enterprise-scale success.

Tiger Analytics Contact Center Copilot

Tiger Analytics' Contact Center Copilot is a GenAI-powered assistant that boosts agent efficiency and service quality by addressing fragmented systems, repetitive searches, and increasing customer expectations. It empowers agents with real-time insights and intelligent guidance through Intent Recognition that detects customer intent live, Sentiment Analysis that evaluates emotion for empathetic communication, and Intelligent Knowledge Search that instantly retrieves relevant FAQs and policy information from multiple systems. By streamlining knowledge access, enhancing response accuracy, and enabling proactive engagement, the Copilot accelerates resolution times, improves agent confidence, and elevates customer experience—transforming contact centers into intelligent, insight-driven service hubs.

Read this LinkedIn post to learn how Contact Center Copilot transforms how agents work.

Cross-Industry GenAI Frameworks

Implementing GenAI at scale requires more than just models; it demands a robust framework. Industry-agnostic GenAI frameworks empower enterprises to integrate AI quickly with robust governance, security, and scalability, supporting rapid experimentation without sacrificing compliance. These frameworks provide a standardized, reusable architecture for developing, deploying, and managing GenAI applications. They offer a structured approach that ensures consistency, governance, and security across diverse projects and teams, accelerating time-to-market and reducing operational complexity.

The following GenAI frameworks from Databricks’ partners can help turn customer GenAI ambitions into reality in an accelerated, cost-effective and responsible manner:

• Aimpoint Digital GenAI Strategy Accelerator
• Blueprint AI Factory
• Entrada Rapid GenAI
• Exponentia.ai GenTrust Framework
• Wipro Enterprise Generative AI

Aimpoint Digital GenAI Strategy Accelerator

Aimpoint Digital’s 4-week GenAI Strategy Accelerator helps organizations move from exploration to execution amid rising pressure to define a clear AI strategy. They work closely with your tech, business, and leadership teams to assess your data landscape, identify high-impact use cases, and build a responsible roadmap for GenAI adoption, clarifying where GenAI creates value, what risks must be managed, and how to establish the internal foundation to scale confidently.

Blueprint AI Factory

Blueprint AI Factory is a Databricks-powered framework that moves enterprises from AI experimentation to production in 90 days or less. Built on Databricks Data Intelligence Platform with Mosaic AI, Unity Catalog, and AI/BI, it operationalizes generative AI through a six-stage methodology connecting data, governance, and outcomes. Using Databricks-native accelerators including Runbook Generator, Genie-enabled analytics, and Asset Bundles packaging, it automates setup, tracks maturity, and delivers executive insights. Solutions like CampaignIQ, ChurnIQ, and Dynamic PricingIQ enable rapid deployment of proven use cases with measurable ROI, while automated governance, compliance scanning, and performance validation ensure production-ready, cost-optimized delivery.

Read this blog to learn more about how AI Factory enables AI transformation by aligning infrastructure and intelligence under a unified operational model.

Entrada Rapid GenAI

Entrada's Rapid GenAI Solution accelerates AI adoption through three phases: Ideation aligns high-value use cases with business goals; MLOps operationalizes development on Databricks with robust deployment, version control, and monitoring; and Prototype to Production delivers iterative solutions using advanced ML and generative AI models—including LLMs, RAG, and prompt engineering. This framework enables organizations to rapidly deploy scalable AI solutions across Virtual Assistants, Quality Assurance, Marketing, Customer Service, and Document Processing, driving tangible business value.

Read this blog to learn how to address all the necessary dimensions of a GenAI initiative.

Exponentia.ai GenTrust Framework

GenTrust is Exponentia.ai’s Responsible AI framework built on the Databricks lakehouse, designed to ensure trust, transparency, and accountability in enterprise GenAI systems. It establishes a unified architecture that rigorously tests and governs AI outputs across structured and unstructured data through accuracy validation, bias detection, guardrails and compliance monitoring. By integrating content safety and automated evaluation metrics, it ensures each model output meets enterprise standards for safety, fairness, and reliability. GenTrust transforms Responsible AI from a compliance requirement into a measurable capability—empowering organizations to deploy secure, explainable, and ethically aligned GenAI applications at scale.

Read this blog to learn more about how Exponentia.ai’s GenTrust helps you deliver trustworthy and reliable GenAI.

Wipro Enterprise Generative AI

Wipro Enterprise Generative AI Studio (WeGA) — an enterprise-grade Agentic AI Operating System—is redefining how organizations strategize, build, and manage intelligent digital workers. Designed to address the complexities of GenAI adoption, WeGA enables enterprises to plan their AI workforce with precision, construct scalable agents using modular components, and govern their AI ecosystem with robust observability and compliance frameworks. The Databricks Data Intelligence Platform, complemented by WeGA, provides a unified environment for data transformation, model training, and agent deployment. With a large library of pre-built agents, WeGA studio is accelerating and augmenting GenAI deployments across industries. Together, this partnership empowers enterprises to unlock the full potential of Agentic AI—delivering speed, accuracy, and governance at scale while reducing time-to-market and operational complexity.

Read this guide to learn more about how to navigate AI challenges with transformative AI-powered solutions and trusted data.

LLMOps Accelerators

LLMOps is the discipline of managing the lifecycle of Large Language Models (LLMs) in a production environment, from development and experimentation to deployment and monitoring. As organizations scale large language model deployments, robust LLMOps strategies (covering monitoring, retraining, data management, compliance, and cost) have become critical for continuous improvement and risk management. LLMOps accelerators are pre-built tools and templates that streamline this process, allowing companies to quickly build, test, and deploy GenAI applications at scale while ensuring model performance, security, and cost-efficiency.

According to McKinsey, only 1% of executives view their GenAI rollout as fully mature and less than one-fifth track KPIs for GenAI deployments. The following generative AI offerings help you fast-track the implementation of LLMOps pipelines and processes to effectively scale the deployment and monitoring of GenAI applications in production:

• Aimpoint Digital LLMOps Framework
• CGI LLMOps: LLM as a Judge
• Koantek AscendAI MLOps

Aimpoint Digital LLMOps Framework

Aimpoint Digital's LLMOps Framework reduces cost and complexity and accelerates the deployment of GenAI applications into production. Whether deploying Agent Bricks or a custom GenAI system, it addresses key GenAI challenges through continuous deployment capabilities via Asset Bundles, automated evaluation using custom metrics and human feedback loops, and comprehensive monitoring to optimize quality. The framework integrates MLflow 3.0 for model management, Databricks Apps for ground truth curation, and Mosaic AI Agent Evaluation for dataset generation. By combining Unity Catalog's governance with Model Serving's scalability, it provides an end-to-end framework that ensures your GenAI applications deploy faster, perform reliably, and enable continuous improvement.

Read this blog to learn more about how Aimpoint Digital’s LLMOps Framework provides a robust framework to deploy, monitor, and manage GenAI use cases

CGI LLMOps: LLM as a Judge

Enterprises are rapidly scaling GenAI initiatives, but maintaining consistent and high-quality evaluation across diverse large language models remains a major roadblock. To address this, CGI partnered with Databricks to develop an enterprise-grade LLMOps evaluation framework that automates, standardizes and governs model assessment at scale. Built on the Databricks Data Intelligence Platform with Mosaic AI and MLflow, the solution leverages LLM-as-a-Judge, continuous feedback loops and Unity Catalog–based governance to unify evaluation across environments—including models hosted outside Databricks. This approach enables enterprises, such as a leading U.S. telco, to achieve consistent quality, real-time monitoring and traceable compliance across hundreds of deployed models. The result is a scalable, self-improving system that transforms how organizations evaluate large language models.

Read this blog to learn more how to use LLM-as-a-Judge to automate and standardize evaluation across the entire model lifecycle.

Koantek AscendAI MLOps

Koantek’s AscendAI MLOps changes how organizations bring AI ideas to life on Databricks. What once took months of manual setup, testing, and troubleshooting can now be done in weeks through pre-built, governed pipelines for model training, fine-tuning, inference, and evaluation. From data flow, version control, testing, and monitoring, everything is automated. This level of automation helps teams focus on innovation instead of infrastructure. With built-in compliance, cost tracking, and quality checks, AscendAI gives businesses confidence that every model in production is reliable, secure, and efficient. Now, enterprises can turn AI experiments into real business outcomes faster than ever before.

Read this blog to learn more about how Koantek’s AscendAI MLOps Accelerator can help you focus on innovation instead of infrastructure.

Unlock your AI potential

The era of GenAI & Agentic AI is here, and partner solutions and accelerators built on Databricks Data Intelligence Platform are key to unlocking its full potential. By leveraging these purpose-built accelerators, companies can move beyond basic chatbots and truly operationalize GenAI to drive efficiency, innovation, and competitive advantage. Whether you're looking to deploy agentic AI to automate a key process or adopt robust LLMOps methodology to streamline your development, our partners are ready to help you accelerate your GenAI & Agentic AI journey.

Stay tuned for the next set of blogs in the series, where we will share GenAI-powered Data Engineering and Migration to Databricks partner accelerators and GenAI partner solutions aligned to industry-specific outcomes.

Get started with Brickbuilder Solutions

At Databricks, we continually collaborate with system integrators and consulting partners to enable more use cases across data, analytics, and AI. Want to get started? In addition to Agentic AI Systems, Cross-Industry GenAI Use Cases, Cross-Industry GenAI Frameworks, and LLMOps Accelerators, check out our full set of partner solutions and accelerators on the Databricks Brickbuilder page.

Create a Brickbuilder for the Databricks Data Intelligence Platform

Brickbuilders are a key component of the Databricks Partner Program and recognize partners who have demonstrated a unique ability to offer differentiated data, analytics, and AI solutions and accelerators in combination with their development and deployment expertise.

Partners who are interested in learning more about how to create a Brickbuilder Solution or Accelerator are encouraged to email us at [email protected].