Services

Three ways to engage the governance problem.

Advisory, Training, and Assessment connect leadership decisions to practical AI governance. Each engagement starts with your systems, risk questions, and operating context.

MODEL 01 / ADVISORY

Leadership without the full-time hire.

Ongoing governance leadership through a structured retainer, including executive guidance, policy development, regulatory horizon scanning, incident-response planning, and board reporting.

Advisory scope

AI governance framework and policy development.
Risk posture summaries and board briefing packages.
AI usage policies, agent governance protocols, and access standards.
AI-specific incident-response playbooks.
Governance reviews and executive decision support.

Cadence, duration, and delivery arrangements are agreed around your priorities.

MODEL 02 / TRAINING

Practitioner-level education.

Workshop-based AI governance training for security teams, compliance professionals, GRC leads, and executive teams, delivered on-site or virtually.

Training pathways

AI Governance Foundations.
AI Security Governance Masterclass.
Board-Level AI Governance Training.
AI Governance for Regulated Industries.

Curriculum, session length, and cohort size are tailored to the audience and learning objectives.

MODEL 03 / ASSESSMENT

Identify exposure. Prioritize action.

A fixed-scope assessment maps your AI systems, governance practices, and controls against an agreed set of risk and security frameworks.

Assessment deliverables

AI system inventory and risk classification.
Governance gap and control assessment.
Analysis of exposure and accountability.
Prioritized remediation roadmap.
Executive risk briefing with findings and next steps.

Start with the decision context.

Bring the AI systems, audience, risk question, timing, and contracting context. A qualification conversation determines whether Advisory, Training, or Assessment is the right first move.

Pricing is provided against the agreed scope, deliverables, and delivery schedule.

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Next step

Make the next conversation specific.

Bring the AI use case, governance question, audience, timing, and decision context. The right starting point may be advisory, training, or assessment.

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Illustrative resource

See what an assessment summary can look like.

A fictional example of findings, evidence gaps, priorities, and next actions. This sample does not describe a client engagement or claim results.

View the sample assessment