Precisely's AI boosts data integrity solutions

Precisely, the pioneer in data integrity, announced its strategy to expand the Precisely Data Integrity Suite with a new generation of AI Agents and a context-aware Copilot — designed to bring autonomous, yet fully governed, data integrity to enterprises worldwide.

Built to operate across complex hybrid and multi-cloud environments, these innovations will empower organisations to keep data accurate, consistent, and contextual by automating and optimising data management processes without constant human intervention.

Ecosystem of trusted data

"AI can only achieve its promise when it operates on data that can be trusted, and when users remain firmly in control of how it's applied," said Chris Hall, Chief Product Officer at Precisely. "We are building AI agents and a Copilot to help our customers build an ecosystem of trusted data with less effort and expense."

"We are combining autonomy with guardrails, transparency, and flexibility to give customers the confidence to innovate faster, knowing their data integrity processes are working continuously and intelligently in the background."

Autonomous capabilities with enterprise guardrails

AI Agents for the Precisely Data Integrity Suite will proactively automate critical aspects of data integrity

AI Agents for the Precisely Data Integrity Suite will proactively automate critical aspects of data integrity while aligning with each organisation's security, compliance, and operational priorities. They will act with autonomy — within the parameters controlled by the customer — ensuring every action is explainable and traceable.

As more agents are introduced, orchestration and seamless interaction across their capabilities will further amplify their impact, enabling the delivery of trusted data at scale and unlocking new opportunities for faster, more confident decision-making.

Focus on core data integrity

The first wave of agents will focus on core data integrity needs:

• Integration Agent — Orchestrating and monitoring data pipelines across diverse systems, from mainframe to cloud, beginning with an automated replication recommender to accelerate modernisation.
• Data Discovery Agent — Scanning, profiling, and classifying enterprise data to surface patterns, detect quality issues, and reveal semantic meaning, beginning with automated documentation and classification of high-value assets such as Personally Identifiable Information (PII) and critical data elements.
• Data Quality Agent — Automating remediation of data integrity issues, beginning with normalisation and standardisation and continuously refining data quality strategies to minimise downstream disruptions.
• Location Intelligence Agent — Enriching enterprise data with geospatial context to uncover patterns and deliver location-aware insights.

Complexity made conversational with the Precisely Copilot

Copilot will translate traditionally complex tasks into guided, personalised interactions

Complementing the AI Agents, Precisely is implementing a Copilot with a natural language interface that understands the intricacies of data integrity. 

Designed for both technical and business users, the Copilot will translate traditionally complex tasks into guided, personalised interactions — enabling users to delegate work to AI while retaining human oversight, improving accessibility, and accelerating outcomes.

AI agents as part of the Precisely AI ecosystem for data integrity

All agentic capabilities will be built upon the Precisely AI ecosystem for data integrity, which connects trusted, high-quality data to the AI models, tools, and platforms of each customer's choosing.

Built to deliver flexibility, transparency, and control at enterprise scale, the ecosystem supports multiple AI approaches — from machine learning to generative and agentic AI — while enabling features such as audit trails, feature configuration, and coordinated operation among multiple agents in the Data Integrity Suite.

This ensures that AI-driven processes remain aligned with business priorities, regulatory requirements, and security policies. This ensures that AI-driven processes remain aligned with business priorities, regulatory requirements, and security policies.

Data Integrity Suite's APIs

Precisely expanded its AI ecosystem with an MCP server, enabling AI apps to access a trusted location

Earlier this year, Precisely expanded its AI ecosystem with a Model Context Protocol (MCP) server, enabling AI applications to access trusted location intelligence and rich property, location, and consumer datasets using natural language. 

Built on the open-source MCP standard from Anthropic, it connects the Data Integrity Suite's APIs to leading large language model interfaces, removing integration complexity and delivering high-quality, contextual data directly into AI workflows.

This enhances model performance, grounds outputs in real-world conditions, and accelerates the development of accurate, explainable, and actionable applications — including AI agents.

A new chapter for data integrity

By blending automation, explainability, and governance with its new Data Integrity Suite AI Agents, Precisely is shaping the future of how organisations maintain trusted data at scale.

These new agents will enable enterprises to shift focus from managing data issues to confidently using data as a driver of strategic growth and innovation.