Current state evaluation of AI readiness, identification of use cases, risk exposure analysis, and strategic roadmap development aligned to leading AI Governance frameworks and guidelines.

Design and documentation of a comprehensive AI governance structure including accountability roles, oversight protocols, data use policies, and compliance mapping.

Data maturity assessment, data ownership framework, stewardship model design, and interoperability strategy aligned to federal standards.

Structured evaluation of AI tools and vendors against governance, compliance, and operational criteria appropriate to the client's sector and risk profile.

Assessment of existing AI deployments against NIST AI RMF, applicable federal regulations, and sector-specific compliance standards; remediation roadmap included.

Design and delivery of AI governance training programs, playbooks, and curriculum frameworks for organizational staff or workforce development programming.