Organizations have struggled with poor-quality data for years, fueling a lack of trust in the outputs of AI and analytics. According to the 2025 Outlook: Data Integrity Trends and Insights, only 12% of organizations believe their data is both high quality and accessible enough to support AI initiatives. One major barrier is that many complex data quality rules require coding skills that only a small number of people in the business have.
Using natural language and generative AI (GenAI) bridges this gap. Users can describe rules in plain, everyday language, and the Precisely Data Integrity Suite Data Quality service instantly converts them into working data quality expressions. What once required technical effort now happens in seconds.
This brings two immediate benefits:
- Faster, simpler rule creation. Business users can contribute subject matter expertise directly, while stewards and engineers can review and refine the results.
- More inclusive collaboration. Even those new to data quality can get started quickly, making clean, trusted data a shared responsibility.
Beyond expressions, the same capability also generates business-friendly descriptions for any new or existing rule. Technical logic becomes clear to non-technical teams, improving transparency across the enterprise.
Here’s how it works:
- Write it naturally. Select fields or datasets, then describe the rule in your own words: “Ensure discount is no more than 20% for all stores in California.”
- AI translates. A large language model (LLM), informed by data quality context and metadata, generates the expression and description.
- Refine in real time. Tweak the input, instantly see changes, and fine-tune until the rule is right.
And because no user data is exposed during the process, privacy and security remain intact.
This is just the beginning. Natural language interfaces are becoming the standard across data platforms, and the Precisely Data Integrity Suite will continue to expand these capabilities. By allowing users to express business logic in their own words, we’re making rule creation faster, smarter, and more accessible, while maintaining strong, trustworthy data quality.
If you want to learn more about these and other recently released features check out our latest release blog here!
