Governor: Your AI Control Tower
Automate system and vendor risk assessment, model card generation, risk-level classification, and policy management across every AI system in your organization. Replace weeks of manual documentation with hours of human review on AI-drafted analyses, and consistently evaluate every project against every policy.
Pacific AI helped us implement a governance-first approach – with design assurance, proactive safety, and automation baked into our foundation.
Governance automation, not governance theater
Most AI governance platforms are document-management and workflow tools. They give your team forms, templates, and reminders, then ask the team to do the actual risk analysis, vendor review, and model-card authoring by hand. That does not scale when an enterprise has hundreds of AI systems in flight and a compliance team of 3 to 12 people.
Governor is different: AI does the work. It reads project documentation and generates draft model cards. It analyzes vendor SOC 2s, AI disclosures, and data-handling addenda and produces risk scores with the justification spelled out. It proposes risk levels and remediation controls for every AI project on the register.
Your humans review, adjust, and approve (which is what every regulation requires anyway). But they are reviewing high-quality first drafts, not staring at blank templates. And Governor checks every project against every applicable policy: every risk score, every bias evaluation, every retention rule, every privacy law, every regulation in the Policy Suite. Consistently. That coverage is impossible to deliver by hand across hundreds of AI projects.
The realistic alternative is to use AI to govern AI, so that evidence-based evaluation at each stage of each project becomes the default rather than the exception
Helping AI governance committees succeed
The Expertise Gap in Project Teams
A clinician running a revenue-cycle project is not an expert in the hundreds of laws and standards governing AI. Producing a quality risk assessment requires understanding Section 1557, HTI-1, and the FAVES principles CHAI and HHS now expect. Committees end up correcting basic misunderstandings instead of debating strategy.
Knowledge Dilution on the Committee
Committee members are part-time volunteers. Ninety minutes every other week is not enough to stay current on FAVES methodology, NIST AI RMF controls, or the pace of state legislation. Conversation drifts toward business value and ROI, away from the technical frameworks that define defensible governance.
The Scaling Problem
A 2024 Scottsdale Institute survey found large healthcare systems were evaluating more than 225 AI solutions to select roughly 40 for production. A central committee cannot meaningfully review 200-plus projects a year. The result is shadow AI: teams routing around the committee or framing AI projects as standard software updates.
Here’s what Governor does
Model Cards Drafted From Your Project Docs
Upload your project documentation in PDF, DOCX, PPTX, HTML, or TXT. Governor produces a draft model card with the disclosures CHAI, HHS HTI-1, and CA AB 2013 require. Your team reviews, edits, and approves; Governor handles the documentation work.
Versioned automatically: previous versions stay in the audit trail; the current model card refreshes on every model release.
Vendor Risk Scores in Minutes, Not Weeks
Upload a vendor’s certifications, AI disclosures, data-handling addenda, and questionnaire responses. Governor reads the documents, scores the risk against your control framework, and cites the specific evidence (passages, page numbers, and gaps) that produced the score.
Your vendor manager reviews the analysis and approves or escalates. Governor does not skip steps that a human would.
Risk levels proposed for every AI project in your registry
Governor analyzes each project’s intended use, data sensitivity, decision impact, and population scope, then proposes a risk level (low / medium / high / unacceptable) with the reasoning spelled out. The recommendation triggers the right approval workflow: compliance review for low-risk; full impact-assessment and executive sign-off for high-risk.
Your team adjusts the level when judgment differs from the model; the audit trail captures both
Every Project Evaluated Against Every Policy, Continuously
The Pacific AI Policy Suite covers 250+ regulations, frameworks, and standards (HHS HTI-1, ACA 1557, FDA 2024-D-4488, NIST AI RMF, ISO 42001, EU AI Act, Colorado SB24-205, and more). Governor maps each project on your register against every applicable policy and flags the gaps.
When the Policy Suite refreshes quarterly, the mapping re-runs automatically. No manual cross-walking; no policies missed because the team forgot the project existed.
Policy to testing to production in one platform
Model Card Metrics Come From Real Test Runs
Governor’s Metrics section pulls automatically from the latest Gatekeeper run (accuracy, fairness, robustness, regulatory readiness). Every number ties to a specific run ID and is reproducible by construction.
Risk Register Controls Connect to Live Test & Monitor Results
Every control wires to its Gatekeeper test suite and Guardian monitor, with the live status shown in the register: green, yellow, red.
Vendor Risk Scores Attach to Every Project That Uses the Vendor
A vendor’s score ties to every project on the register that uses them. When the vendor ships an update, Governor shows exactly which projects need re-testing and which monitors to re-baseline.
Worked Example: The 2025 – 2026 AI-Impersonation Laws
When five state laws prohibiting AI from impersonating licensed clinicians took effect, Pacific AI customers did not write a policy or hire counsel.
The Policy Suite refresh added the new policies. Governor flagged every patient-facing AI system, Gatekeeper and Guardian picked up the new tests automatically. All within days and without manual effort.
Why Governor instead of a generic GRC platform
Generic GRCStores documents, routes approvals, sends reminders. The risk analysis, vendor review, and model-card authoring stay manual.
Governor Reads project documentation. Generates draft model cards. Analyzes vendor AI policies . Produces risk scores with the justification spelled out.
Generic GRCAnnual policy review. Quarterly audit. Risk register refreshed when something breaks.
Governor Every project re-evaluated when policies refresh. Every vendor re-scored when their term of use changes. Policy Suite updates flow into the registry automatically.
Generic GRCSOX, HIPAA, GDPR. Generic frameworks that don’t reach AI-specific risks in clinical contexts.
Governor CHAI, FUTURE-AI, TEHAI, MEDIC, CONSORT-AI baked into every workflow. Healthcare-specific frameworks for healthcare-specific governance.
A complete AI governance platform
The Compliance Officer
Manages the compliance program across the organization’s entire AI portfolio.
frameworks tracked,
refreshed quarterly
The Risk Manager
Identifies, assesses, and mitigates risks across the AI lifecycle with real-time monitoring.
pre-configured,
auto-scored
The AI Developer
Builds, tests, and deploys AI models with built-in governance guardrails at every stage.
with automated
governance checks
The Vendor Manager
Oversees third-party AI vendors with continuous due diligence and contract compliance.
with automated
due diligence
The Policy Manager
Creates, distributes, and enforces AI policies that stay current with evolving regulations.
rate with automated
tracking
Your Risk Assessments Never Leave Your VPC
The risk assessments, vendor analyses, and model cards Governor produces, including the documents that show where your AI deployments are taking legal risk, never leave your VPC. Governor runs inside your AWS or Azure tenant; Pacific AI has no access to its contents.
Learn more about Pacific AI’s single-tenant architecture →
The downstream impact of biased automation in healthcare isn’t academic – it affects real decisions, real care, and real people.
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