// Vertical Depth / Governance

Internal policy
enforcement for
AI releases

Governance boards • Risk committees • Responsible AI leads

Convert responsible AI policies into executable controls while keeping cross-functional partners in the loop. EvalOps enforces policy compliance at every stage—from model development to post-production monitoring—backed by notarized evidence teams can discuss together.

Policy Engine

Translate policy into executable guardrails

Define governance rules once, apply them everywhere—Judge enforces evaluation criteria, Probe executes red-team scenarios, Monitor watches runtime KPIs, and Attest blocks releases when approvals are missing. Everyone sees the same guardrails, so conversations center on decisions, not terminology.

• Policy templates aligned to NIST AI RMF and internal ethical guidelines

• Approval workflows with executive and legal co-signatures

• Automatic variance reports when deviations occur

Enforcement Flow

Real time

1. Policy Definition

Import policies or write them in YAML-like syntax mapped to modules and controls.

2. Enforcement

Policies compile into Judge and Probe tests, Monitor alerts, and Attest sign-off requirements.

3. Review & Approval

Cross-functional reviewers co-sign releases in the Trust Center with full context and evidence.

4. Feedback Loop

Outcomes feed back into policy tuning with impact analysis and threshold recommendations.

Governance Telemetry

Every decision leaves a trace in the certificate ledger

Monitor policy adherence with mission-control dashboards: see which models passed, failed, or were quarantined; track ownership; and surface outstanding approvals in real time, so governance chairs and product leads share a single status view.

Policy Coverage

Percentage of models governed by Judge and Probe policies; drill into exceptions instantly.

Approval Latency

Median time from evaluation completion to executive sign-off with SLA tracking.

Variance Heatmap

Visualize recurring deviations and auto-generate remediation tasks for accountable teams.

Council Workspace

Give governance boards the evidence they expect

Provide accountable owners with policy health reports, track commitments, and share Trust Center certificates directly in governance meetings, keeping discussions grounded in fresh evidence.

• Authoritative single source of truth across models
• Agenda-ready packets with evaluation highlights
• Audit log of questions, decisions, and follow-ups

Feedback → Policy Loop

Every runtime signal sharpens your governance posture

Monitor feeds back drift alerts and real-world outcomes, automatically proposing policy adjustments and new Probe scenarios to close gaps, so responsible AI leaders can show how the program keeps learning.

• Adaptive thresholds tuned by performance telemetry

• Automatic creation of follow-up tasks in Jira, Asana, or Linear

• Historical trendline of policy effectiveness

Governance in practice

Elevate Responsible AI from policy document to living system

Evaluate, enforce, and attest in one motion. See how EvalOps empowers governance boards with cryptographic proof, live telemetry, and context that keeps stakeholders aligned.