Most organizations deploying AI are one model change away from a governance failure they cannot defend to legal, regulators, their board, or their customers.
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.
Who This Is For
Chief Technology Officers
Scaling AI systems that need defensible governance before the next model swap or platform change.
Chief AI Officers
Building enterprise AI programs that need to survive regulatory scrutiny and board-level questions.
Chief Risk Officers
Responsible for AI risk posture in regulated environments where audit trails and compliance are non-negotiable.
VPs of Technology & Engineering
Deploying AI capabilities at speed and needing governance architecture that doesn't slow innovation.
This Is Not For
- Teams still casually experimenting with AI and not yet operating in production.
- Organizations without meaningful executive, legal, regulatory, or customer accountability.
- Companies looking for prompt libraries, generic workshops, or tool demos instead of control architecture.
What You Get
01
Pre-Session Architecture Assessment
A structured questionnaire sent before the session that maps your current AI stack, model dependencies, governance controls, and audit trail status. This ensures the 90 minutes are fully 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. We identify where governance is model-dependent or platform-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 of the session. Covers 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 following the session for questions, clarifications, or pressure-testing implementation decisions as your team acts on the recommendations.
How It Works
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 the session so the time is fully applied to your environment.
3
90-Minute Briefing
Live session via video. Findings document 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
About the Architect
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 holds an MBA from the University of Missouri (Trulaske), with graduate certificates in Systems & Industrial Engineering and Construction & Civil Engineering Management. He completed the Applied AI & Data Science Program at MIT Professional Education, covering Machine Learning, Deep Learning, Generative AI, and Prompt Engineering.
He has designed and deployed enterprise AI governance platforms independently across multiple domains, delivered AI strategy consulting to Salesforce Healthcare Solutions leadership, and developed the Merryhill Protocol as a proprietary governance framework now being adopted across industries.
Engagement Options
Engagements are structured to move from risk visibility into architecture, then into implementation. This is not generic AI consulting. It is control-layer design for organizations already accountable for AI decisions.
Most clients realize within the first 20 minutes that their governance breaks under model or platform change.
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.
Book & Pay — $5,000
Tier 2 · Most Comprehensive
Full Protocol Implementation
$25,000–$35,000 / one-time
Complete deployment of the Merryhill Protocol inside your organization. Includes architecture briefing, custom configuration of the AI Enablement System, executive dashboards, team training, and 60-day support.
Inquire About Implementation
Tier 3
Ongoing Advisory Retainer
$5,000–$10,000 / month
Monthly advisory engagement for governance oversight, system evolution, executive reporting, and ongoing AI risk management. Available following Tier 1 or Tier 2 engagement.
Inquire About Retainer
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 — your permanent control logic. Never changes when the model or platform changes.
Logic Never Changes
↓
Enforcement Layer
Block · Allow · Escalate · Gate — pre-execution gates that determine what actually runs. 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
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.