AI Governance & Compliance Services
Turn AI risk into a managed enterprise AI governance program. As your AI compliance service, we translate artificial intelligence regulatory compliance into concrete policies, controls, and workflows using our AI governance frameworks consultancy approach.
- Get a dedicated fractional AI Governance Officer delivering AI governance as a service.
- Maintain regulated AI compliance with real-time logging and monitoring.
- Ensure responsible AI compliance aligned with EU AI Act, NIST, and FDA expectations.
- Partner with your compliance, legal, and technology leaders—not against them.
AI Governance Dashboard
Board-Ready12
Active & documented
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Items tracked
38
Implemented
Q4
Next scheduled
AI Is Moving Fast. Governance Often Isn't.
The gap between AI innovation and governance creates risk that boards and regulators won't ignore.
The Reality in Regulated Industries
Many organizations have pilot or production AI, but no coherent governance program. Leaders are unsure how to map AI to existing risk frameworks.
There's often tension between innovation teams eager to ship and compliance/legal teams worried about exposure.
In healthcare and other regulated fields, there is no tolerance for "we hope the model is fine." Boards and regulators expect documented oversight.
Sound Familiar?
- No central inventory of AI systems, models, and agents.
- Policy documents talk about 'AI' but don't translate into daily controls.
- Compliance only hears about AI when something goes wrong.
- We're not sure how to explain our AI risk posture to leadership or auditors.
Governance & Compliance-as-a-Service exists to close this gap.
What AI Governance & Compliance-as-a-Service Includes
A complete governance program, not just a policy document.
AI Policy & Framework Alignment
- Define or refine your AI policy and standards.
- Map AI practices to frameworks like NIST AI RMF at a practical level.
- Clarify what 'responsible AI' means for your organization.
System Inventory & Risk Classification
- Create and maintain an inventory of AI systems, models, and agents.
- Classify AI use cases by risk level and impact.
- Tie each system to owners, controls, and documentation.
Controls, Reviews & Approvals
- Design lightweight but effective approval workflows for new use cases.
- Define human-in-the-loop checkpoints and escalation paths.
- Support periodic reviews of high-risk systems.
Reporting & Audit Support
- Produce regular governance reports for leadership.
- Support internal audits and external assessments.
- Document decisions, exceptions, and mitigations.
We design governance that is actually usable by teams, not just a binder on a shelf.
Governance Above and Alongside Your MLOps
MLOps runs your AI systems. Governance ensures they're running right.
AI Governance & Compliance
Policies, risk decisions, and oversight that guide what's allowed and how it's controlled.
MLOps & Governance-as-a-Service
How systems are deployed, monitored, and operated day-to-day.
AI Systems & Use Cases
Agentic AI, LLMs, custom models, and automation workflows.
Think of Governance as the "rules layer" that sits on top of operations—ensuring every AI decision, change, and deployment aligns with your policies.
Our Principles for AI Governance
Governance that works in the real world, not just on paper.
Context-Aware
Governance must respect your domain (healthcare, life sciences, etc.) and your risk appetite.
Practical, Not Performative
Controls should be actionable by engineers, data scientists, and operations—not just lawyers.
Evolving by Design
We design governance to adapt as regulations, models, and technologies change.
Ethics, Not Just Compliance
We consider fairness, bias, and harm alongside legal requirements—and we're explicit about use cases we refuse to support.
How a Governance & Compliance Engagement Works
A structured approach from assessment to ongoing oversight.
Baseline & Discovery
- Review existing policies, risk frameworks, and AI initiatives.
- Interview key stakeholders: compliance, legal, IT, data.
Design & Pilot
- Design the governance model: policies, processes, roles, and artefacts.
- Pilot it on a small set of AI systems and refine.
Rollout & Enablement
- Roll out governance practices across your AI portfolio.
- Enable teams with templates, checklists, and playbooks.
Ongoing Oversight & Improvement
- Provide periodic reviews, risk updates, and board-ready reporting.
- Adapt governance as your AI footprint and regulations evolve.
Who Benefits Most from Governance-as-a-Service
We work as a bridge between technology and compliance teams, not on one side or the other.
Organizations
- Healthcare providers, life sciences firms, and other regulated mid-market orgs
- Organizations with existing or planned AI deployments
- Those who need to reassure leadership, regulators, or customers about AI risk
Stakeholders
Compliance / Risk / Privacy Leaders
Need clear visibility and structured controls for AI systems.
General Counsel & Legal
Want to reduce legal risk and clarify responsibilities.
CTO / CIO / CDO
Want to innovate with AI without constant battles with compliance.
Outcomes You Can Expect
Governance that delivers real, measurable improvements.
Clarity on AI Risk
A shared understanding of where AI is used, how risky each use case is, and who owns it.
Defensible Decisions
Documented rationales for AI-related decisions, exceptions, and mitigations.
Stronger Internal Alignment
Less friction between innovation teams and compliance/legal.
Better Audit & Regulator Readiness
Artifacts and processes you can show to auditors, customers, and partners.
Before
Ad-hoc approvals, unclear risk ownership, governance documents that gather dust.
After
Structured, repeatable governance program with clear owners, documented controls, and regular reviews.
Program-Based, Not One-Off
Governance & Compliance-as-a-Service is typically structured as a program with an initial design phase and an ongoing retainer.
We scale the engagement to your AI footprint and regulatory complexity—starting small and expanding as your governance needs grow.
Learn how we price engagementsFrequently Asked Questions
Common questions about AI Governance & Compliance-as-a-Service.
Related Resources
Explore insights, guides, and case studies on AI governance.
AI Governance in Regulated Industries: A Practical Primer
How healthcare and life sciences organizations are building governance programs that work.
View resourceOperationalizing NIST AI RMF for Mid-Market Organizations
A guide to translating AI risk frameworks into practical controls and processes.
View resourceBuilding a Governance Foundation for a Regional Health System
How one organization moved from ad-hoc AI approvals to a structured governance program.
View resourceNeed AI governance that your board and regulators can understand?
We help you turn AI risk into a structured, governed program—without freezing innovation.