Precisely unveils new AI agents & copilot for data integrity suite

Precisely announced a new generation of artificial intelligence (AI) agents and a context-aware copilot for its data integrity suite. They are designed to bring autonomous yet fully governed data integrity to enterprises worldwide.

Built to operate across complex hybrid and multi-cloud environments, the innovations aim to empower organizations to keep data accurate, consistent and contextual by automating and optimizing data management processes without constant human intervention.

Enhancing data integrity with AI agents

AI agents within the Precisely Data Integrity Suite will autonomously automate key aspects of data integrity while staying aligned with each organization’s unique security, compliance and operational requirements, according to a press release.

Operating within customer-defined boundaries, the agents will ensure actions are fully explainable and auditable. As more agents are deployed, their coordinated interaction will enhance overall performance, scaling the delivery of trusted data and unlocking faster, more confident decision-making across the business, Precisely stated.

“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.”

Precisely is 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, he added.

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Autonomous capabilities with enterprise guardrails

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

1. Integration agent, orchestrating and monitoring data pipelines across diverse systems, from mainframe to cloud, beginning with an automated replication recommender to accelerate modernization.
2. 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
3. Data quality agent, automating remediation of data integrity issues, beginning with normalization and standardization, refining data quality strategies to minimize downstream disruptions.
4. Location intelligence agent, enriching enterprise data with geospatial context to uncover patterns and deliver location-aware insights.

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, personalized interactions. This aims to enable users to delegate work to AI while retaining human oversight, improving accessibility and accelerating outcomes, the firm said.

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