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EXL, in partnership with Databricks, unveils EXLdata.ai, an innovative AI-driven platform designed to transform enterprise data management, improve data readiness for AI, and boost adoption through multi-agent architectures and seamless governance integration.
EXL has launched EXLdata.ai, an advanced suite of agentic AI data solutions aimed at overcoming a significant barrier to widespread AI adoption in enterprises: the challenge of making data AI-ready. Developed in partnership with Databricks, this innovative solution integrates data modernization, governance, and unstructured data management across the entire data lifecycle, offering enterprises a unified platform to manage their data seamlessly and prepare it for AI applications.
The urgency for such a solution is underscored by EXL’s 2025 Enterprise AI Study, which found that only 30% of organisations report having data available enterprise-wide. The majority continue to grapple with data silos segregated across legacy systems, limiting effective decision-making and obstructing AI deployment. Furthermore, unstructured data, which constitutes approximately 85% of all enterprise data, remains a tough nut to crack, with 65% of enterprises struggling to process and derive value from it, according to Everest Group.
EXLdata.ai tackles these issues head-on by embedding agentic AI into data management workflows. The suite employs Databricks’ Agent Bricks, a flagship product designed to build and optimise AI agents tailored to enterprise data. This multi-agent architecture autonomously manages various functions—such as data discovery, migration, engineering, governance, annotation, labelling, and ongoing operations—across the data lifecycle. It features AI-driven orchestration of both structured and unstructured data, enhanced by pre-built accelerators and multiple agents to improve usability and access. A notable feature is its integration with Databricks Unity Catalog, which enables dynamic, real-time governance and helps reduce risk, ensuring compliance and data trustworthiness throughout the AI lifecycle.
Rohit Kapoor, chairman and CEO of EXL, states that their agentic AI approach delivers tangible benefits including cost reduction, faster implementation times, and improved data accuracy. The platform’s modular design allows businesses to deploy specific capabilities or utilise the entire suite according to their needs, all accessible through a centralised workbench that enhances workflow control and visibility.
Designed with an open architecture, EXLdata.ai complements existing data ecosystems rather than replacing them. This approach allows frictionless integration with current client data platforms and partner solutions such as Databricks, leveraging the latter’s extensive governance features and deep integrations with industry-leading AI models. Databricks itself is currently expanding its AI capabilities, notably through a new strategic partnership with OpenAI to incorporate advanced models like GPT-5 into its cloud offerings and Agent Bricks product. This collaboration aims to provide businesses with ever more scalable and tailored AI tools, positioning Databricks as a leader in the enterprise AI space and supporting partners like EXL in delivering robust AI-native data solutions.
Further strengthening this ecosystem, EXL and Databricks recently enhanced their partnership to accelerate the development and deployment of analytics and generative AI solutions. EXL is building a dedicated team of Databricks-certified professionals to boost their data management and AI offerings, helping clients unlock the full potential of their data for advanced analytics and AI-driven insights.
Overall, EXLdata.ai exemplifies a strategic push to transform enterprise data foundations with AI, addressing persistent fragmentation and unlocking the value hidden in vast stores of structured and unstructured data. By partnering closely with Databricks and leveraging state-of-the-art AI technologies, EXL aims to help organisations break down silos, reduce operational inefficiencies, and infuse intelligence into everyday business workflows, accelerating progress on the AI adoption curve.
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Source: Noah Wire Services
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