Executive AI Governance Lab
Most Leadership Teams Have Read the Framework. The Lab Is Where They Govern From It.
A playbook that sits on a shelf is not governance. The Executive Lab puts the leadership team in real AI governance scenarios — decision rights, escalation logic, containment choices, evidence requirements — and produces artifacts the organization can actually use the next morning.
Executive Readiness Scorecard — the lab’s opening diagnostic showing where ownership, evidence, and decision rights are unassigned before the session begins.
Proof Basis
The same source basis as the Playbook — applied in a working session.
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. The Lab applies that doctrine to the organization’s specific governance situation: its actual tools, decision structures, risk exposures, and accountability gaps. It is executive decision support. It is not legal advice, a compliance certification, or a promise of liability reduction.
What the Lab Produces
Not a training session. A governance working session with artifacts.
The Lab produces three outcomes a leadership team cannot produce from a playbook alone. Each requires the team to work through the governance problem in real time, make actual decisions, and surface the disagreements that would otherwise become the next governance failure.
Outcome 01
Shared Operating Language
Executives leave using the same terms for risk, authority, escalation, and evidence. Governance decisions do not stall at the vocabulary problem that precedes most disagreements.
Outcome 02
Decision Discipline
The team works through real scenarios to determine where approval authority should sit, where ambiguity creates exposure, and where the current operating model leaves the board unprotected.
Outcome 03
Immediate Action Path
The lab ends with the next decisions to make, owners to assign, proof gaps to close, and a 30-day sequence the organization can execute without a follow-up engagement.
Investment
Scoped to the room, the risk, and the artifacts required.
Lab scope is confirmed before invoice. The investment reflects the depth of the governance question, the size of the leadership cohort, and whether artifact production and a follow-up board readout are included. No form required to begin the scoping conversation.
$7,500
Half-Day Virtual Lab
Focused working session for one defined AI governance question with one leadership cohort.
$12,500–$15,000
One-Day Executive Lab
Broader leadership session with role decisions, scenario work, and practical governance output.
$18,000–$25,000
12-Hour Lab
Multi-session working format for deeper alignment, evidence design, and governance artifact production.
$35,000+
Expanded Lab with Board Readout
Full artifact production, follow-up board readout, and documentation for internal distribution. Scoping required before invoice.
Working-Session Deliverables
Artifacts the leadership team can use the next morning.
Issue Register
The governance questions, ownership gaps, and risk decisions surfaced during the session — documented, owned, and sequenced for resolution. Not a list of concerns. A list of decisions assigned to owners.
Operating Map
A draft authority model connecting board oversight, executive ownership, legal review, risk controls, and AI use owners — specific to this organization, not a generic template adapted from consulting literature.
30-Day Sequence
The immediate actions needed to stabilize evidence, assign owners, and prepare the next governance review. Named owners, specific first steps, no ambiguity about who does what first.
The leadership team that governs under pressure is the team that has already governed in practice. The lab is where practice happens. The board meeting, the enforcement inquiry, and the governance review are where it counts.