Evidence-to-Decision Loop executive exhibit showing claim, owner, workflow, measure, decision, and proof.
Exhibit 1: The Evidence-to-Decision Loop. Every AI governance system must close the loop between claim, owner, workflow, measure, and proof — before the question is asked from outside the organization.

Executive AI Governance System | Touch Stone Publishers

Four Products. One Governance Architecture. Built So Serious Buyers Can Self-Qualify Before a Form.

The system is designed so a board chair, CEO, general counsel, or executive sponsor can read this page, understand exactly what they need, and request an invoice without a discovery call. Briefing first. Role clarity second. Operating model third. Working session fourth.

Proof basis

Built from public governance doctrine. Not consulting opinion.

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 work is executive decision support. It is not legal advice, a compliance certification, or a promise of liability reduction.

What the system delivers

Not transformation theater. Three governance outcomes every executive team can name.

Decision rights

Who may approve, pause, escalate, or reject AI use cases — mapped by risk tier and ownership, not seniority alone. Explicit before a decision is challenged.

Human oversight

When human review is required, what it must examine, and who holds the record. Technically enforced, not procedurally assumed.

Containment

Where AI autonomy is permitted and where it is not. The boundary the board can point to when the question arrives.

The organization that does not define decision rights has them defined by enforcement. The organization that does not document human oversight produces no record when one is required. The organization that has not established containment boundaries discovers them in litigation. The four products in this system address each of those failure modes — in order, before the pressure arrives.

The commercial architecture

Priced clearly enough for a serious buyer to decide before a form.

Asset Primary buyer Investment
Chairman’s Briefing Chair, board committee, CEO, general counsel Briefing asset: no-cost request. Private briefing: $2,500 virtual / $4,500 in-person plus travel.
Executive Role Playbooks Board, CEO, GC, CFO, CISO, compliance, risk leaders $750 per role. Role trio: $2,000. Complete role library: $4,500. Institutional license: $7,500–$9,500.
Executive AI Governance Playbook Executive leadership team Digital executive edition: $1,950. Board packet / team license: $4,500. Institutional license: $7,500–$9,500.
Executive Lab Leadership team or board cohort Half-day virtual: $7,500. One-day lab: $12,500–$15,000. 12-hour lab: $18,000–$25,000. Expanded: from $35,000.

Invoice issued on request. No form required. Institutional licensing and lab scope confirmed before delivery.

Pricing posture

Focused executive usefulness. Not large-firm overhead.

Touch Stone is priced above commodity AI training and cheap templates, below large-firm transformation economics, and tied directly to the usefulness of the artifact or working session. A board-level buyer should be able to evaluate the complete investment picture from this page alone.

Briefings and playbooks

$750–$4,500

Individual role playbooks, the Executive Playbook, and leadership-team packets. Invoice-first until delivery is confirmed automated.

Governance labs

$7,500–$35,000+

Working sessions scoped to the room, the risk, and the artifacts required. Scope confirmed before invoice.

Institutional licensing

$7,500–$9,500

Internal distribution where usage terms must be explicit before delivery. Terms confirmed before invoicing.

The organization that governs AI governs what it is becoming. The organization that only discloses it is waiting for someone else to write that definition.