AI Governance Assessments.
We assess how AI is being selected, approved, used, monitored, and evidenced across your organization. The work maps decision owners, active systems, control gaps, approval paths, vendor dependencies, and audit evidence so leadership can see where governance is already working and where it is still only informal.
AI Risk Reviews.
We review specific AI use cases, agents, workflows, or vendor deployments for the risks that matter in practice: data exposure, autonomy level, human approval needs, compliance obligations, model behavior, integration blast radius, and evidence quality. Each review produces a clear risk view and a prioritized set of controls before a system moves further into production.
AI Readiness Audits.
We evaluate whether your people, processes, technical controls, and evidence practices are ready for governed AI adoption. The audit looks at identity and access, logging, approval workflows, vendor oversight, incident response, policy coverage, and operational accountability, then turns the findings into a practical readiness roadmap.
AI Policy Development.
We help write AI policies that are specific enough to guide real decisions and light enough for teams to follow. That includes acceptable-use rules, approval thresholds, risk classifications, evidence requirements, vendor review standards, escalation paths, and operating procedures that can be translated into enforceable controls where the platform supports them.