Turn scattered business rules into a governed data contract and validate it before those rules reach production.

When critical information is missing, AI systems need explicit rules to operate reliably. But those rules often sit across stakeholder conversations, schemas, transformation code, and disconnected catalog entries, leaving ambiguity unresolved until it becomes a compliance risk.

Watch this demo to see how the Grid Dynamics AI Data Harness brings business intent, data evidence, and policy together, with human judgment guiding decisions.

Through an FDA product recall scenario, you’ll see how the harness handles a potential match when the exact lot number is missing. Rather than forcing a definitive answer, it surfaces the evidence gap for human review. The resulting policy distinguishes confirmed recalls from partial matches requiring investigation.

See how the harness:

Captures approved decisions in a version-controlled contract using the Open Data Contract Standard (ODCS).
Preserves the supporting evidence, policy references, and validation trail.
Gives connected data management, catalog, quality, code generation, and security systems a shared definition.
Flags mismatches for correction before human approval, automated validation, and release gates allow downstream execution.

Explore how an AI data harness creates a traceable path from business requirements to consistent system behavior, with governance defined before implementation.

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Demo

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