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Regulatory change impact assessment

Map a reviewed regulatory update to policies, controls, systems, and accountable owners.

What this workflow does

Map a reviewed regulatory update to policies, controls, systems, and accountable owners. It separates observed facts from inference, surfaces conflicting evidence, and delivers a review-ready finding set instead of an opaque answer.

What you gain

Counsel-approved remediation scope

What the AI agent changes

How this worked before

Traditional automation could collect records, but a person still had to compare sources, resolve conflicts, and write the conclusion.

What the AI agent changes

The agent can plan a search, inspect multiple sources, distinguish facts from inference, and return a cited report.

Agent trigger

Counsel approves a regulatory update for impact analysis.

Inputs

  • Process context: regulatory text, legal interpretation, policies, controls, and inventory
  • Approved policies, ownership, and exception rules

Agent flow

  1. 1

    Collect source material from the approved systems and record its timestamp.

  2. 2

    Cross-check conflicting signals and separate facts from inference.

  3. 3

    Prepare an evidence-linked impact map and proposed owners with citations, unknowns, and confidence.

  4. 4

    Deliver the approved report and preserve its evidence set.

Human decisions

After step 3

The accountable process owner approves an evidence-linked impact map and proposed owners.

Outcome

  • Counsel-approved remediation scope
  • Evidence, exceptions, and audit trail

Guardrails

  • Label inference separately from observed facts.
  • Do not close the investigation while required sources are unavailable.

Risks and mitigations

Missing or stale evidence can produce a confident but incomplete finding.

Show source coverage, conflicts, timestamps, and unanswered questions.

Sources and evidence