Merryhill Protocol · Private Advisory

AI Governance
Architecture Briefing

A private session that assesses your current AI architecture, identifies where governance is missing or model-dependent, and delivers three specific recommendations — applied directly to your environment. Built for executives who need answers before the next audit, model change, or board question.
$5,000
Per engagement
90-minute private session

Most organizations deploying AI are one model change, one compliance question, or one auditor request away from a governance failure they cannot explain.

The problem isn't the technology. It's that governance was never built into the architecture.

When the model changes, the platform shifts, or an AI-assisted decision has to be reconstructed under pressure, most organizations discover too late that their governance was attached to tooling — not to the decision system itself. This briefing changes that.

Chief Technology Officers
Scaling AI systems that need defensible governance before the next model swap, platform change, or technical audit.
Chief AI Officers
Building enterprise AI programs that must survive regulatory scrutiny, board-level questions, and public accountability.
Chief Risk Officers
Responsible for AI risk posture in regulated environments where audit trails and compliance records are non-negotiable.
VPs of Technology & Engineering
Deploying AI capabilities at speed and needing a governance architecture that doesn't slow innovation or create liability.
This Is Not For
Teams still casually experimenting with AI · Organizations with no AI in production or near-production · Anyone looking for a tool demo, a prompt library, or a generic AI strategy workshop
01

Pre-Session Architecture Assessment

A structured questionnaire sent before the session maps your current AI stack, model dependencies, governance controls, and audit trail status — so every minute of the 90-minute session is applied to your specific environment, not generic frameworks.

02

90-Minute Private Briefing Session

A live working session applying the Merryhill Protocol directly to your architecture using the Merryhill Protocol Enablement Platform — a production-grade AI governance system built independently across two enterprise domains. We identify where governance is model-dependent, where your audit trail breaks under system change, and where human override authority is undefined or unenforced.

03

Written Findings & Three Priority Recommendations

A concise written summary delivered within 48 hours covering your current governance posture, identified gaps by severity, and three prioritized, actionable recommendations specific to your architecture and risk profile.

04

30-Day Follow-Up Access

Direct email access for 30 days for questions, clarifications, or pressure-testing implementation decisions as your team acts on the recommendations.

1
Book & Pay
Secure your session via Stripe. You'll receive the pre-session questionnaire immediately after booking.
2
Pre-Session Assessment
Complete the architecture questionnaire 48 hours before your session so the full 90 minutes is applied to your environment.
3
90-Minute Briefing
Live session via video. Written findings delivered within 48 hours. 30-day follow-up access begins immediately.
"If your governance depends on a tool, you don't have governance. You have configuration."
— Tabron (Monté) Merryhill, MBA · Creator, Merryhill Protocol

Tabron (Monté) Merryhill is the creator of the Merryhill Protocol — a model-independent, platform-independent AI governance architecture designed for enterprise environments where decisions must be auditable, defensible, and controllable at scale. He has been building and deploying AI systems since 2019, before most enterprises had a governance policy for them.

He built the Merryhill Protocol Enablement Platform — a 9-table, 207-field enterprise AI enablement system with 25+ relational links, 15 AI-generated fields, 4 executive dashboards, and a complete governance workflow from intake to scale — independently, without a development team. This is the live system used in every advisory engagement.

He holds an MBA from the University of Missouri Trulaske College of Business with graduate certificates in Systems & Industrial Engineering and Construction & Civil Engineering Management. He completed the Applied AI & Data Science Program at MIT Professional Education and delivered AI strategy consulting directly to Salesforce Healthcare Solutions leadership.

MBA · University of Missouri
Applied AI · MIT Professional Education
Systems Engineering · MU
AI Practitioner Since 2019
Merryhill Protocol — Proprietary Framework
Engagements are structured to move from risk visibility into architecture, then into full implementation. This is not generic AI consulting. It is control-layer design for organizations already accountable for AI decisions.
Most clients identify a critical governance gap within the first 20 minutes.
Tier 1
Executive AI Governance Risk Briefing
$5,000 / one-time
90-minute private session assessing your current AI architecture. Includes pre-session questionnaire, written findings with three prioritized recommendations, and 30-day follow-up access. Delivered using the Merryhill Protocol Enablement Platform.
Book & Pay — $5,000
Tier 3
Ongoing Advisory Retainer
$5K–$10K / month
Monthly advisory engagement for governance oversight, system evolution, executive reporting, and ongoing AI risk management. Available following a Tier 1 or Tier 2 engagement. Includes access to the Merryhill Protocol Enablement Platform for your organization.
Inquire About Retainer
Live Workshop · Columbia, MO · May 15, 2026
New to AI governance?
Start with the workshop.
AI That Works — a 2-hour in-person workshop covering the Merryhill Protocol framework, AI use case identification, and a personalized 30-day action plan. Limited to 20 seats.
Reserve a Seat
$997 per seat
Framework Resources
The Merryhill Protocol is built on five axioms and a layered control architecture. The resources below give you direct access to the framework before your briefing session.
Model & Platform Independent Control Architecture
The governance layer never depends on the model or the platform. Remove or replace either — the control architecture remains intact.
"Governance doesn't sit on top of AI. It sits in front of it."
Governance Layer
Rules · Thresholds · Roles · Admissibility — permanent control logic. Never changes when the model or platform changes.
Logic Never Changes
Enforcement Layer
Block · Allow · Escalate · Gate — pre-execution gates. Always active. Failure prevention by design.
Always Active
Execution Interface Layer
Model Registry · Platform Routing · APIs · Constraints — where models and platforms are managed, not where governance lives.
Instant Swap
AI Models
GPT · Claude · Llama · Future Models — replaceable engines across any platform. Intelligence without authority.
Replace Freely
Audit Layer
Decision log · Context · Output · Human override · Timestamp — immutable record. Legal-grade reconstruction of every decision.
Tamper-Proof
Axiom II of V — Safety as the Foundation
Governance is not insurance you buy after the accident. It is load-bearing infrastructure you engineer before the first decision is made.
Axiom · II of V · Merryhill Protocol
Safety as the Foundation
If your AI system requires
rebuilding governance
when the model changes,

your architecture was never
governing the model.
Governance before execution. Always.

Ready to govern your AI
before it governs you?

A limited number of briefing sessions are available each month. Sessions are conducted privately and confidentially.

Book Your Session — $5,000 Send a Question First