AI Governance & Trust Advisory
Practical frameworks, policies, and oversight that let you deploy Microsoft Copilot and custom Copilot Studio agents with confidence — aligned to the NIST AI Risk Management Framework and ISO/IEC 42001, and sized to how your organization actually operates.
AI Regulatory Compliance & Advisory
Navigating AI regulation shouldn't slow down adoption. We help align your Copilot, Copilot Studio, and Microsoft Foundry deployments with the frameworks regulators and auditors are already asking about — the NIST AI Risk Management Framework, ISO/IEC 42001, and applicable state and federal guidance.
Framework Alignment
NIST AI RMF and ISO/IEC 42001 readiness mapped against your existing controls.
Risk Assessment
Structured evaluation of automated decision-making and high-impact AI use cases.
Governance Blueprints
Documented policies and playbooks built around your organization, not a generic template.
Transparency & Oversight
Human-in-the-loop controls, disclosure practices, and accountability measures.
Governance Framework Design & Operating Model Setup
We help you stand up the structure behind responsible AI — not just a policy document, but an operating model your teams will actually use day to day.
- Establish an AI governance functionDefine ownership, mandate, and escalation paths — sized to your organization, not a Fortune 500 template.
- Policies & standardsPractical, enforceable AI use policies mapped to Microsoft 365 and Copilot Studio controls.
- Defined roles & responsibilitiesClear owners for model risk, human oversight, and incident response.
- Integrated into deliveryGovernance embedded into how agents are built and shipped, not bolted on afterward.
- Responsible AI principlesFairness, transparency, and safety expectations documented and socialized org-wide.
AI Risk Assessment & Ongoing Monitoring
Proactive risk management catches problems before they reach users. We help you build the practices to assess and monitor AI systems on an ongoing basis, using the tools already available in your Microsoft environment.
Risk Coverage
- Use-case risk scoringTailored to how a system is actually deployed, not a one-size score.
- Bias & drift monitoringUsing Microsoft Purview and Azure AI Content Safety signals.
- Output quality reviewStructured checks for hallucination and inconsistent responses.
- Incident response protocolsDefined escalation paths for AI-specific issues.
Why It Matters
Most AI incidents aren't dramatic failures — they're a drifting model, an over-permissioned agent, or an answer nobody reviewed. Continuous, right-sized monitoring catches these before they become a compliance conversation.
Identify
Catalog AI systems and use cases across the organization.
Assess
Evaluate the likelihood and impact of each identified risk.
Monitor
Ongoing checks against Microsoft's native AI safety tooling.
Respond
Remediation playbooks and clear escalation paths.
Responsible AI Tooling, Built on What You Already Own
Rather than layering on another platform, we configure the governance and safety tooling already available in your Microsoft environment.
Microsoft Purview
Data classification, sensitivity labels, and AI activity oversight.
Azure AI Content Safety
Automated content filtering and harm detection.
Copilot Studio Guardrails
Topic restrictions, data loss prevention, and agent-level controls.
Entra ID
Identity-based access control for agents and data sources.
Governance Dashboards
Power BI reporting for leadership and audit visibility.
Training & Workforce Enablement
Governance only works if people understand it. We run right-sized training for the people who own AI decisions and the people who use AI day to day.
Executive Briefings
Strategic AI risk and governance briefings for leadership and boards.
Practitioner Training
Hands-on guidance for teams building with Copilot Studio and Microsoft Foundry.
Ongoing Governance Advisory
Not every organization needs — or can staff — a full internal AI governance office. Our advisory retainer gives you ongoing oversight without the overhead of building it all in-house.
- Periodic governance reviewsPolicies and controls reassessed as your AI footprint grows.
- Compliance trackingKept current against evolving AI regulation.
- Executive & board reportingClear, non-technical summaries for leadership.
- Third-party AI vendor oversightOngoing review of the AI tools your teams adopt.
- A named advisorDirect access to one accountable contact, not a ticket queue.
Onboard→Advise→Monitor→Report
Third-Party AI Vendor Risk Management
Every AI vendor and embedded AI feature you adopt inherits into your risk profile. We help you evaluate and monitor them before and after they're in production.
- Vendor risk scoringAssessment of AI-enabled tools and platforms before they're approved.
- Procurement due diligenceGovernance and security review before contracts are signed.
- Contractual governanceGovernance requirements written directly into vendor agreements.
- Ongoing compliance verificationPeriodic checks on vendors already in production.
- Risk mitigation planningContingency plans for high-risk or single-point-of-failure dependencies.
Why This Matters
Third-party AI tools can introduce data privacy exposure, algorithmic bias, and compliance gaps you don't directly control. Vendor governance keeps visibility over your entire AI ecosystem — not just the systems you built yourselves.
Governance that earns trust, not just checks a box
We treat AI governance as a way to move faster responsibly — not a compliance tax bolted onto the end of a project.
Microsoft-Native
Built on the tools you already license, not another platform to manage and pay for.
Right-Sized
Governance scaled to your organization's actual risk — not enterprise boilerplate.
Single Advisor
One accountable partner across policy, tooling, and training.
Ready to establish AI governance in your organization?
Talk to our team about your current AI footprint and where governance gaps might be putting you at risk.
Contact Us