Executive AI Governance Lab
A working session for leaders who need to make AI governance real.
The lab turns the playbook into practical executive behavior: scenario review, role decisions, escalation logic, containment choices, and the evidence trail leaders should expect.
Proof basis
Built from public governance sources, not unsupported authority claims.
Governance sources
Touch Stone draws from NIST AI RMF, OECD AI Principles, ISO/IEC 42001, EU AI Act materials, SEC AI-claim enforcement, and Delaware oversight doctrine.
Clear boundary
The work is executive decision support. It is not legal advice, a compliance certification, or a promise of liability reduction.
Evidence before inquiry
The public evidence page explains the source trail and the claim discipline behind the offer.
Lab outcomes
Shared language
Executives leave with the same terms for risk, authority, escalation, and evidence.
Decision discipline
The team tests where approval should sit and where ambiguity creates exposure.
Action path
The institution leaves with the next decisions to make, owners to assign, and proof gaps to close.
Investment
Scoped to the room, the risk, and the artifacts required.
Half-day virtual lab
$7,500
Focused working session for a defined AI governance question.
One-day executive lab
$12,500-$15,000
Broader leadership session with role decisions and practical output.
12-hour lab
$18,000-$25,000
Multi-session working format for deeper alignment and evidence design.
Expanded labs with artifact production and follow-up readout start at $35,000 and require scoping before invoice.
What you leave with
Working-session outputs the leadership team can use immediately.
Issue register
The governance questions, ownership gaps, and risk decisions surfaced during the session.
Operating map
A draft authority model connecting board oversight, executive ownership, legal review, risk controls, and AI use owners.
30-day sequence
The immediate actions needed to stabilize evidence, assign owners, and prepare the next governance review.