The data integrity giant is making it easier for enterprises to operationalize “AI-ready” data — and it’s betting natural language and LLM flexibility are the keys.

Data quality has long been the unsung hero (and sometimes the Achilles’ heel) of enterprise AI projects. Precisely, a global leader in data integrity, is rolling out new AI-driven upgrades to its Data Integrity Suite that aim to finally make high-quality, AI-ready data accessible at scale.

The release introduces a set of features designed to shrink the gap between business and technical teams, reduce deployment time, and give enterprises more freedom in how they use AI. The big promise? Faster, more reliable data pipelines without the usual manual bottlenecks.

What’s New: Natural Language Meets Data Quality

At the core of the upgrade is a push toward natural language interfaces. Instead of coding data quality tasks line by line, users can now describe what they need in plain English — and the system will automatically generate the custom code.

Other highlights include:

• AI-powered rule and description generation: Automating the creation of rules and documentation, slashing hours of manual work.

• AI-generated sample data: Automatically producing test datasets to validate logic and accelerate deployments.

• LLM integration in pipelines: Bringing large language models directly into transformation workflows, with support for “bring your own LLM” to ensure enterprises aren’t locked into a single provider.

Why It Matters

The updates come at a moment when AI adoption is skyrocketing, but many organizations are stalling out on poor data quality. According to multiple industry surveys, over 70% of enterprise AI projects struggle to scale due to messy, incomplete, or siloed data.

By blending AI automation with its trusted governance framework, Precisely is positioning itself as the bridge between cutting-edge AI ambitions and the practical realities of enterprise data management.

“Organizations don’t just need AI — they need reliable AI,” noted Chris Hall, Chief Product Officer at Precisely. “This release is about making high-quality data faster, more accessible, and more flexible than ever.”

The Bigger Picture

This move also reflects a broader industry trend: data management vendors racing to embed AI in their toolkits. Collibra, Informatica, and Talend have all announced AI-powered data governance enhancements this year. Precisely’s differentiator is its emphasis on choice and control — letting customers plug in their own LLMs while staying within a secure, governed framework.

For enterprises, that could mean avoiding vendor lock-in while still accelerating AI initiatives. And with data integrity now a make-or-break factor for digital transformation, Precisely is clearly aiming to stay ahead of rivals by blending automation with flexibility.

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