GRC teams cannot manually assess every AI experiment engineering ships. Regal AI is openRegal's assessment engine — it analyzes structured governance intake and produces a complete package for human review in minutes.
Input: governance intake
Engineering documents project context, environment, AI models, declared tools, intended use case, and explicit non-goals. Structured intake beats free-text tickets because machines and auditors can both parse it.
Output: assessment package
- Risk tier — e.g. Medium for internal support copilots with customer PII in ticket bodies
- Assessment summary — use case, data exposure, integrations, and key risks
- Recommended controls — PII redaction, human-in-the-loop, prompt injection testing, audit logging, transparency measures
- Compliance tests — required and optional tests assigned on conditional approval
- Draft runtime policy — allowed and prohibited tools before agents go live
Example: Acme Support Copilot
An internal tier-1 support agent using GPT-4o on Zendesk tickets. Customer PII may appear in ticket bodies. Regal AI might classify risk as Medium, recommend PII redaction and HITL for outbound actions, assign injection and allowlist tests, and draft a policy allowing zendesk_api and draft_reply while prohibiting hr_database and unsupervised send_email.
Human in the loop
Regal AI accelerates GRC — it does not replace accountability. Governance reviewers evaluate the package, approve with conditions, or request changes. Every assessment is logged; every approval is attributable.
Pre-audit validation
Before GRC audit authorization, Regal AI checks evidence completeness: are required tests submitted? Do results pass thresholds? Does policy version match the approved manifest? Incomplete evidence returns to engineering with specifics — not a vague "not ready."
Why automation matters now
EU AI Act timelines, agent proliferation, and board scrutiny converge on the same ask: show us governed AI at scale. Manual assessment does not scale. Regal AI makes Assess a first-class stage in Gate → Assess → Prove → Enforce — openRegal's superpower for teams that build and teams that govern.