Precisely Boosts Agentic AI with new AI Assistant

Precisely has added new capabilities to its Data Integrity Suite to help organisations make better use of agentic-ready data. This is the most integrated, governed and enriched data that they hold. It is designed to help agentic agents find the data and context they require to answer the questions asked of them. The Precisely Data Integration Assistant is its latest AI tool to help users find those answers.

Matt Waxman, Chief Product Officer at Precisely, said, “Organisations are eager to scale AI, but data readiness remains the biggest obstacle.

“With the latest release of the Data Integrity Suite and our partnership with Huwise for the Data Product Marketplace, we are helping customers turn their data into a trusted, reusable asset that can directly power AI applications and agent-driven workflows.”

What is this about?

AI agents need more than just access to data. They need high-integrity data that is integrated, governed, and enriched. If an agent acts on bad data, the consequences are immediate. A sales agent might send a discount to the wrong customer. A support agent might provide incorrect information.

Current data pipelines are often rigid. They require manual setup and constant maintenance. Teams spend weeks configuring replication and mapping schemas. This slows down innovation. It also creates inconsistency. Different teams build their own pipelines, leading to conflicting data definitions.

While organisations are investing in AI agents, they have concerns over the quality of their data. This is a constant theme in the yearly reports that Precisely publishes with the Drexel University LeBow College of Business.

The 2026 report showed a major concern over data integrity issues and an overestimation of AI readiness. The biggest problem is trust in data. This creates a bottleneck where AI initiatives stall before they even begin.

Four new capabilities

To address this, Precisely has four updates to the Data Integrity Suite. There is a Data Integration Agent, a Data Product Marketplace, new APIs and a Model Context Protocol (MCP) server.

• The new Data Integration Agent handles the setup, schema mapping, and validation tasks. It reduces manual effort, improves consistency and accelerates time to value for data projects.
• The Data Product Marketplace is a partnership with Huwise. It allows organisations to publish and share trusted data both internally and externally. That means that teams can trust the underlying data and will improve collaboration with partners. This means that the data does not have to be rebuilt for each new AI project.
• New APIs span data integration, data quality and the data catalogue. This makes accessing data easier and more consistent. Removing access as a friction surface will make it far easier for organisations to manage data.
• The MCP server announced here builds on the previous version announced in July 2025.  While that was focused on location-awareness and data enrichment, this new version extends it significantly. It allows users to securely discover and use capabilities without custom integrations. This is a shift from manual engineering to automated access.

The Data Integration Agent automates the creation of replication pipelines. It validates data as it moves, ensuring consistency across the enterprise. The Data Product Marketplace provides a governance layer, tracks usage, and ensures compliance. The MCP server extends the suite’s capabilities. It exposes data quality and integration functions to AI agents.

All of this is about enabling a new class of applications where agents can self-heal data pipelines or request quality checks on the fly.

Enterprise Times: What does this mean?

The shift to agentic workflows changes the value proposition of data. Data is no longer just for reporting but an active ingredient in automated processes. But for this to deliver, data needs to be trusted and agentic-ready.

Organisations that fail to fix their data infrastructure will struggle to scale AI. They will face higher costs and slower innovation. Precisely is positioning itself as the data quality and governance platform that will accelerate AI journeys.

In the last eighteen months, Precisely has released multiple AI-enabled features across its product range. At the heart of those announcements is the Precisely Data Integrity Suite. With this announcement, Precisely is betting that the future of AI depends on data integrity, not just model sophistication. The release of the Data Integrity Suite addresses the root cause of many AI failures.

Will this open approach gain traction against the closed ecosystems of major cloud providers? Can the Data Product Marketplace become the standard for trusted data sharing?

The answer will depend on adoption. Enterprises need to see real results. They need to measure the reduction in manual effort and the improvement in data quality. If they do, Precisely could become the central hub for agentic data.

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