Description

A focused course, tailored for you

The Founder’s Course on Building AI Governance When Audits Threaten Growth

Turn the chaos of scattered AI controls into a single, auditable governance framework that protects your service brand and accelerates delivery.

Stop rebuilding AI risk registers every month while audit deadlines loom and leadership doubts your compliance credibility.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Your AI models sit behind dozens of spreadsheets, Slack threads, and ad-hoc notebooks, each team member claiming ownership of compliance checks. The lack of a unified governance register means senior leadership constantly asks for evidence, and auditors dig through inconsistent logs during the quarterly review. When a compliance breach surfaces, you scramble to assemble documentation, losing credibility and risking costly remediation.

The current process forces you to spend evenings reconciling model risk scores, manually mapping data lineage, and chasing missing sign-offs from legal and security. Every missed deadline forces you to explain gaps to the board, putting your strategic roadmap on hold while you rebuild the same governance artifacts from scratch.

What you walk away with

Create a complete AI governance register that maps models to risk controls.
Generate audit-ready evidence packs for any regulatory review.
Implement a decision matrix that prioritises remediation based on business impact.
Establish a quarterly governance cadence that aligns product and legal stakeholders.
Reduce manual compliance effort by at least 50 percent.

The 12 modules

Module 1. Mapping Model Inventory

Over 70% of AI projects lack a single source of truth for model lineage. In a typical sprint planning meeting, the team discovers a missing model ID and stalls. This module walks through extracting model metadata from your CI pipeline and populating a unified inventory spreadsheet. The deliverable is a populated model inventory ready for your governance dashboard.

Module 2. Defining Risk Controls

During the weekly compliance check, you ask yourself, "Which controls actually protect our highest-risk models?" The module guides you to identify relevant risk controls, align them with business outcomes, and document them in a control matrix. Output: a control matrix sits in your drive.

Module 3. Evidence Collection Workflow

By module end a step-by-step evidence collection checklist sits in your drive, detailing logs, test results, and sign-off forms required for each control. The checklist is built for the upcoming audit cycle, ensuring no missing artifacts.

Module 4. Risk Scoring Framework

A tension between rapid innovation and strict compliance pressures the board each quarter. This module creates a scoring framework that quantifies model risk against revenue impact, letting you prioritise remediation. The deliverable is a risk scoring sheet ready for executive review.

Module 5. Audit Pack Assembly

The CFO asks, "Do we have a ready-to-present audit pack for the Q3 review?" This module shows how to bundle model inventories, control matrices, and evidence checklists into a single audit package. What you ship from this module: a complete audit pack PDF.

Module 6. Stakeholder Alignment

A head of security wants assurance that AI risk is covered in the enterprise risk register. This module maps AI controls to the broader risk register and creates a RACI table that clarifies ownership. Sitting at the end of this module: a RACI table aligning AI and enterprise risk owners.

Module 7. Governance Dashboard

Fast-forward to the monthly steering committee where leadership asks for a visual health check. This module builds a dashboard that visualises model risk scores, compliance status, and pending remediation tasks. The deliverable is a live governance dashboard ready for the next meeting.

Module 8. Remediation Planning

When an audit finds a control gap, you need a clear plan. This module provides a remediation planning template that links each gap to a concrete action, owner, and timeline. Output: a remediation plan ready for the next sprint.

Module 9. Quarterly Review Process

A stakeholder POV: the board expects quarterly evidence of AI governance maturity. This module defines a repeatable review process, agenda, and reporting template that keeps the board informed without extra effort. What you ship: a quarterly review agenda and report template.

Module 10. Automation Integration

The fastest path from a messy spreadsheet dump to an automated governance feed is to embed scripts into your CI pipeline. This module shows how to trigger evidence collection automatically and push results to the dashboard. The deliverable is an automation script ready for deployment.

Module 11. Communication Playbook

When the head of legal asks for justification, you need a concise narrative. This module crafts a communication playbook that translates technical risk into business language for executives. Output: a communication playbook for board updates.

Module 12. Continuous Improvement Loop

A question echoes after each audit: "How do we keep this governance current?" This module builds a continuous improvement loop that schedules periodic reviews, updates controls, and captures lessons learned. The deliverable is a continuous improvement calendar ready to import.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers Mapping Model Inventory , exactly the scattered spreadsheet chaos you face when new models are launched without a central record.

Module 5 covers Audit Pack Assembly , exactly the last-minute scramble you endure before the quarterly audit committee meets.

Module 9 covers Quarterly Review Process , exactly the board-level reporting pressure you feel when the next governance update is due.

What you get with this course

A populated model inventory with 30 sample entries.
A control matrix linking AI controls to business outcomes.
An evidence collection checklist for each control.
A risk scoring sheet with impact weighting.
A complete audit pack PDF ready for Q3 review.
A RACI table aligning AI and enterprise risk owners.
A live governance dashboard template.
A remediation planning template.
A quarterly review agenda and report template.
An automation script for CI-triggered evidence collection.
A communication playbook for board updates.
A continuous improvement calendar.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: tailored playbook in hand, model inventory template pre-populated for your environment, evidence checklist ready for immediate use.

Week 1: first version of your audit pack live and shared with legal and finance leads.

Month 1: recurring governance cadence running, dashboard updating automatically, and quarterly review agenda locked in.

Before and after

Before

You maintain model lists in separate Confluence pages, evidence lives in email threads, and each audit request forces you to chase screenshots from engineers. The lack of a single source of truth means the board repeatedly asks for proof of compliance, and you lose days re-creating the same registers for each review.

After

All AI models, controls, and evidence are captured in a unified governance register, refreshed each sprint. A live dashboard feeds the steering committee, and audit packs are generated with a click. You now spend time discussing strategy rather than hunting documents, and leadership trusts the governance posture.

What happens if you do not address this

If you ignore this, the next audit cycle will arrive with no consolidated evidence, forcing you to hand-craft compliance documents under fire. The board will question your AI strategy, and you may lose funding for future model development.

Who it is for

A founder-CEO who leads AI-driven service offerings, spends mornings in product-strategy meetings and afternoons fielding compliance questions, and needs a repeatable governance method that fits into fast-moving product cycles without hiring a full-time risk team.

Who this is NOT for. This is not for someone who needs a basic introduction to AI concepts rather than a governance implementation method.

How it arrives

Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.

Time investment. 6 hours of focused work spread over a week, saving an estimated 40-60 hours of internal scaffolding effort.

Why $199 is the right number

A half-day consultant would charge $2,500-$4,500 for the same scope, a generic compliance certification runs $1,200-$2,000, and building the governance framework yourself can exceed 60 hours of work. At $199 you get a complete, ready-to-use solution.

FAQ

Do I need a dedicated risk team to use this course?

No, the course is built for a founder-CEO who can drive the process with existing product and legal resources.

Will the templates work with my current tooling?

All artefacts are provided in open formats that you can import into any spreadsheet or document tool you already use.

How quickly can I see audit-ready evidence?

The first audit pack is assembled by the end of week one after you complete the initial modules.

Is the course updated for new AI regulations?

The core governance framework is regulator-agnostic and can be adapted to any emerging AI policy.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.