Study: Policy-Governed Systems Outperform Dynamic Agents in Enterprise Analytics

It's an approach where a language model (like Qwen3-8B) only interprets the user's question, while a deterministic policy selects and runs a pre-approved analytical program that returns results and evidence.

In the study, the governed approach achieved 100% accuracy (110/110) versus all dynamic agents failing (330/330) to meet the full contract, but the result is configuration-specific, not a general verdict.

Results are promising for environments requiring governance and replayability, but teams should evaluate the configuration on local data before full adoption, especially given the need to customize policies.

Evidence makes results auditable and verifiable, building trust in analytical decisions within organizations — critical for compliance in government and financial sectors.