AI Governance + Enablement Programs
For organizations adopting AI that need both guardrails and adoption infrastructure. We build governance and enablement together because one without the other fails predictably.
Two functions, one engagement
Most organizations build governance first and hope enablement follows, or invest in enablement and backfill governance after an incident. Both paths create the same problem: a gap between the two functions that produces shadow AI, policy violations, or stalled adoption. This engagement builds both functions simultaneously, in relationship to each other, so the organization advances on both fronts from day one.
Governance
Policy framework
Acceptable use, data handling, vendor AI evaluation, incident response
Risk assessment process
Tailored to your regulatory environment and organizational structure
Shadow AI containment
Discovery methodology, risk classification, and response procedures
Monitoring plan
Ongoing compliance verification and governance posture tracking
Enablement
Approved tool program
Tool catalog, evaluation criteria, and fast-path provisioning for low-risk use cases
Training program
Role-appropriate AI literacy for staff, managers, and leadership
Use case identification
Department-by-department mapping of AI opportunities and prioritization
Adoption measurement
Metrics connecting AI usage to business outcomes, reported to leadership
Who this is for
Organizations that have identified AI governance and enablement as a priority but do not have the internal expertise or bandwidth to build both programs themselves. Common triggers: board mandate, regulatory preparation, shadow AI discovery that revealed more exposure than expected, or leadership recognizing that ad hoc AI adoption has outpaced the organization's ability to manage it.