Series 1 ยท Governance & Risk Control

The output went up.
Delivery confidence did not.

Your team adopted AI assistants and the numbers look good โ€” more code, faster tickets, green dashboards. But AI does not know your security standards, your integration dependencies or your compliance requirements. This is not a case for banning the tools. It is the governance layer that makes their speed safe to trust.

$199 $299
Founding MemberEarly Adopter Access
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Early Adopter pricing is locked for the first 21 days of launch in exchange for candidate feedback and real-world case study contributions. Standard enterprise pricing of $299 applies thereafter.

3.0ร—
Debt Multiplier
6
Calculator Sheets
3
Governance Templates
5
Part AI Audit
Excel
+ Word + PDF
The AI Reality Check & Technical Debt Audit
FormatExcel + Word + PDF
IncludesSOW clause
LicenseSingle-user
The Failure Mode

It is not that the code is wrong.
It is that nobody checked.


You cannot see where AI is being used. Developers, contractors and vendors are all using assistants with good intentions. None of it is declared, so none of it routes through your security, architecture or privacy controls.

Proprietary material is leaving the building. Source code, system architecture, customer data and sometimes credentials, pasted into public consumer-grade models by people solving a problem quickly.

You cannot verify what your vendor delivered. AI-assisted code, scripts and configurations arriving inside contracted deliverables, with no disclosure requirement and no review evidence attached.

Peer review quietly erodes. The output looks finished and confident, so it gets skimmed rather than reviewed. Fabricated references, wrong variables and insecure patterns pass through on presentation.

Volume rises on a weak foundation. Components built fast on top of an undocumented architecture. More output, more dependencies, and less confidence that any of it integrates.

The bill arrives later, larger. A flaw that takes two hours to fix in development takes two weeks to unravel once it is integrated and in production. AI generates that debt faster than any team ever could.

In a governed environment, speed is an asset. In an ungoverned one, unverified acceleration is just an illusion of progress.

What You Get

Eleven files. A five-part audit.
And one number your board understands.

01 Master Guide ยท 6 pages

The AI Reality Check Master Guide

The Automation Trap, the Shadow AI problem, how technical debt compounds at machine speed, and the Human-in-the-Loop mandate โ€” governing AI without slowing the team down.

02 Audit ยท Word + PDF ยท 7 pages

The AI Usage Disclosure & Triage Checklist

A five-part survey you send to internal teams and vendors: tool and scope inventory, data privacy and compliance check, peer-review verification, acknowledgment, and governance routing.

03 Templates ยท Word + PDF ยท 7 pages

The HITL Quality Gates & Review Templates

Three templates: the AI Output Governance Charter, the Bimodal Review Gate separating lower-risk from formal-evidence work, and a drafted SOW clause for vendor AI disclosure.

04 Calculator ยท Excel ยท 6 sheets

The Technical Debt Risk Exposure Calculator

Log the unverified output, estimate remediation hours and rate, and the Pay Down vs Defer sheet compares fixing it now against the multiplied cost of deferring past launch.

05 Worked Example ยท 7 pages

Project Nexus

The full governance sequence applied โ€” the disclosure that surfaced the shadow usage, the gates that were missing, and the remediation decision the numbers supported.

06 Quick Start ยท 5 pages

The Audit Review Checklist

The condensed review sequence on five pages. For running the audit on a live project without working through the full guide first.

07 Supporting ยท README

Usage Sequence & Authority Boundary

The order to work the package, and the limits that protect you โ€” do not unilaterally approve, reject, block, deploy or certify AI-assisted output. Make usage visible and route the decision.

08 Licensing

Single-User License

Licensed for personal professional use, with clear terms on what you can and cannot do inside your organisation.

The Method

Four moves.
None of them ban anything.

Governance here means visibility, proportionate review and a priced decision โ€” not a policy that pushes the tools underground. Each move has a document behind it.

01 Make it visible The Disclosure Baseline

Send the five-part checklist to internal teams and vendors. Which tools, which use cases, what data went where, and whether any of it was peer-reviewed. Not an investigation โ€” a baseline.

02 Route by risk The Bimodal Review Gate

Not every output needs the same scrutiny. Track A handles lower-risk work at speed. Track B sends architecture, security, data and production-impacting output through formal review with evidence.

03 Price the exposure The Remediation Estimate

Log each unverified output, estimate the hours to put it right, apply a blended rate. "Poorly structured code" becomes a figure a steering committee can act on.

04 Choose the path Pay Down vs Defer

Fix it now, or carry it past launch at the multiplied cost. Both options on one sheet, with the assumption behind the multiplier stated and owned rather than hidden.

The principle underneath all four is one sentence: AI may assist, but a human remains accountable for validation.

In the Package

What this page
doesn't show you.

โ—† Every question in the disclosure audit Five parts and eleven numbered questions, including the three nobody wants to ask out loud โ€” has proprietary code gone into public models, has customer or regulated data, and have API keys or database schemas ever appeared in a prompt.
โ—† The vendor SOW clause, drafted Third-party AI disclosure and quality assurance in three parts โ€” disclosure of AI-assisted delivery, vendor HITL accountability, and the security and review evidence required before a deliverable is accepted.
โ—† How the multiplier actually works A configurable assumption, set to 3.0ร— by default, that converts today's remediation estimate into tomorrow's exposure. The guidance note on choosing your own figure matters more than the default does.
โ—† The Bimodal Review Gate, both tracks What qualifies as lower-risk and moves at agile speed, what crosses into formal review, and exactly what evidence a Track B item must carry before it enters the baseline.
โ—† The AI Output Governance Charter A one-page project-level charter stating the core principle, the disclosure requirement and the HITL mandate โ€” the document you circulate once so nobody has to relitigate the rules per pull request.
โ—† Project Nexus, in full The complete sequence with real figures โ€” the shadow usage the disclosure surfaced, the gates that were missing, the remediation estimate, and the pay-down decision the numbers supported.
Look Inside

Three pages from the
actual package.

Not mockups. These are real pages, exactly as they arrive.

AI Usage Disclosure โ€” data privacy and compliance check
Disclosure AuditThe data privacy questions
Vendor AI disclosure and review clause for SOW insertion
HITL TemplatesThe vendor SOW clause
Pay Down vs Defer trade-off matrix
Calculator$28,440 now, or $85,320 later

3 of 44 pages shown โ€” plus the 6-sheet Excel calculator.

Where This Came From

Executives do not fund projects because the Jira board looks tidy. They fund projects that protect revenue, reduce cost, and lower risk.

Nearly three decades in delivery. Eighteen years at Shell as an IT/OT leader and advisor. Most recently IS&T Program Director on Rio Tinto's Simandou megaproject in Guinea. Programmes across Cairo, Dubai, Gabon, post-conflict Basrah and West Africa.

Mohamed Mansour

Executive Practitioner ยท Founder, MeemoZone ยท Founder, Inventem
Technology | Transformation | Project Management

Written for Project Managers Program Managers PMO Leaders Transformation Leaders IT & OT Managers Sponsors Consultants
~30 yrs
In delivery and transformation
$200M+
Programmes directed
$17Bn+
Capital megaprojects supported
100+
International professionals led
Get the Package

The debt is already there.
The only question is when you pay it.


โœ“ The 6-page AI Reality Check Master Guide
โœ“ The AI Usage Disclosure & Triage Checklist โ€” 5 parts, editable Word + PDF
โœ“ The HITL Quality Gates & Review Templates โ€” including the vendor SOW clause
โœ“ The Technical Debt Risk Exposure Calculator โ€” 6 linked Excel sheets
โœ“ A complete worked example โ€” Project Nexus, start to finish
โœ“ Single-user license ยท instant download ยท 11 files, 44 pages
Founding Member Access
$199
Standard retail $299

Early Adopter pricing holds for the first 21 days of launch.
Standard enterprise pricing of $299 applies thereafter.

The Rest of Series 1

The audit tells you what it costs.
It cannot authorize the fix.

Visibility and a number get you to the right conversation. Getting the remediation funded, holding the vendor who shipped the output, and dealing with a project already past saving are three different problems. Series 1 covers all three.

โ—†

Early Adopter bonus: any Series 1 purchase during the launch window โ€” a single package or the full Vault โ€” includes complimentary planned beta access to the MeemoZone Interactive Governance Agent program, subject to release readiness.

Before You Decide

This is 1 of 6.
Get all six for just $100 more.

The AI Reality Check handles governance and risk. The Series 1 Turnaround Vault adds the charter, project takeover, vendor control, executive escalation and full project rescue. Bought separately, the six come to $1,394 at standard retail. The Vault holds all of them for $599 โ€” and $299 during the launch window.

$299 $599

Early Adopter access ยท first 21 days of launch

See the Vault โ†’