Policy Agents is research into translating approved, versioned policy and regulatory sources into controlled decision workflows for defined use cases, with the source, rule path, and output preserved for review.
Research & development · Not commercially available
The proposed approach derives decisions from approved, versioned sources, and routes ambiguity, conflicts, and exceptions to accountable reviewers.
Each output would link to the policy provisions and versioned inputs that informed it.
Enhancement, not replacement — built for high-responsibility, fiduciary work.
The aim is a decision path that can be reconstructed from approved sources, rules, and recorded context.
Policy Agents is part of mace AI’s Deep Model Trust research and development. It is not commercially available.
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