Where people belong
Put human review at policy exceptions, external actions, regulated decisions, low-confidence answers, and material changes.
Approvals
Escalations
Exceptions
Final sign-off
Review Workflows
Human-in-the-Loop AI
Human-in-the-loop AI keeps people responsible for high-risk decisions while AI handles retrieval, drafting, comparison, triage, and evidence preparation.
Make review efficient
Reviewers need source evidence, suggested rationale, risk indicators, and one-click disposition options.
Evidence bundle
Risk labels
Decision options
Reviewer notes
Close the loop
Reviewer decisions should improve prompts, policies, retrieval quality, and future test cases.
Feedback capture
Evaluation updates
Policy tuning
Quality reporting
Related reading
Continue through the connected solution pages, case studies, and planning references.
Turn this into an implementation path.
Anubis Labs can map the workflow, data boundary, controls, and evaluation plan for your environment.
Request an architecture review