Description

A focused course, tailored for you

The Product Counsel's Course on Governing AI When Product Roadmaps Diverge

Learn to embed AI governance into product strategy so every roadmap decision is defensible, compliant, and aligned with business risk.

Stop spending every product sprint rebuilding risk evidence while launch delays keep hurting your roadmap.

$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

You are juggling rapid AI feature roll-outs, complex IP considerations, and a growing demand for risk evidence across product squads. Existing templates sit in separate drives, legal reviews get stuck in email loops, and the leadership team still asks for a single source of truth before each quarterly review.

When a new model is released, the compliance checklist is missing, the risk register is outdated, and the audit committee repeatedly asks for missing documentation, forcing you to scramble for ad-hoc evidence while product launches stall.

If this continues, missed launch windows and regulatory scrutiny will erode credibility with the board and could trigger costly remediation after a compliance breach.

What you walk away with

Create a reusable AI governance framework that fits every product roadmap.
Produce audit-ready evidence packs in under two days per release.
Align legal risk scoring with product prioritization to reduce launch delays.
Communicate AI risk decisions clearly to executives and board members.
Maintain a live risk register that updates automatically with new features.

The 12 modules

Module 1. Mapping AI Features to Legal Risks

Identify the exact legal exposure each new AI capability creates.

Module 2. Building a Centralized Evidence Repository

Set up a single source of truth for all compliance artifacts.

Module 3. Risk Scoring and Prioritization Matrix

Quantify risk impact and align it with product backlog decisions.

Module 4. Designing an AI Governance Checklist

Standardize a step-by-step review process for every AI release.

Module 5. Automating Evidence Collection

Leverage tooling to capture logs, model cards, and impact analyses automatically.

Module 6. Stakeholder Communication Playbook

Craft concise risk briefings for product leads and senior leadership.

Module 7. Audit Pack Assembly Workshop

Assemble a complete audit package in a repeatable format.

Module 8. IP Strategy Alignment

Integrate patent and licensing considerations into the governance flow.

Module 9. Continuous Monitoring Dashboard

Create a live view of AI risk metrics for ongoing oversight.

Module 10. Crisis Response Protocol

Define actions when an AI model triggers a compliance incident.

Module 11. Board Reporting Framework

Prepare executive-level summaries that translate technical risk into business impact.

Module 12. Scaling Governance Across Teams

Extend the process to new product lines without re-inventing the wheel.

How this addresses your situation

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

Module 1 covers Mapping AI Features to Legal Risks , exactly the uncertainty you face when a new model is added to the product backlog.

Module 5 covers Automating Evidence Collection , the manual pull-of-logs you dread every release cycle.

Module 11 covers Board Reporting Framework , the pressure you feel when executives ask for a concise risk brief before the quarterly review.

What you get with this course

A reusable AI risk mapping worksheet.
A centralized evidence repository blueprint.
A pre-populated risk scoring matrix with 25 example entries.
A step-by-step AI governance checklist.
An automated evidence collection guide.
Stakeholder briefing slide deck template.
A complete audit pack assembly checklist.
An IP alignment decision matrix.
A live monitoring dashboard mock-up.
A crisis response runbook.
Board reporting scorecard.
A scaling governance playbook.

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

Day 1: tailored playbook in hand, risk mapping worksheet pre-filled for your top AI features, evidence repository blueprint ready.

Week 1: first version of the governance checklist and audit pack assembled, shared with product leads for review.

Month 1: live monitoring dashboard operational, risk register updated automatically, and board-ready briefings delivered on schedule.

Before and after

Before

Your current workflow relies on scattered Word docs, email threads, and ad-hoc spreadsheets. Evidence lives in individual team folders, risk registers are stale, and each product release triggers a last-minute scramble to assemble compliance artifacts, causing delays and missed deadlines.

After

After the course you have a single, live risk register, a repeatable governance checklist, and a ready-to-share audit pack. Weekly cadence updates the dashboard automatically, and leadership receives concise risk briefings, freeing you to focus on strategic decisions rather than firefighting compliance gaps.

What happens if you do not address this

If you ignore this, the next product launch will trigger another audit scramble, likely delaying the release by weeks. The compliance committee will flag your team, and senior leadership may question your ability to manage AI risk, jeopardizing your next promotion.

Who it is for

A senior product counsel who leads AI governance across a suite of products, spends most of the week aligning legal, engineering, and product managers, and must produce audit-ready evidence on tight product cycles without a dedicated compliance operations team.

Who this is NOT for. This is not for someone who needs a basic introduction to general product compliance.

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 $2-5K for the same scope, a generic compliance certification runs $800-2K, and building this yourself consumes 60+ hours. At $199 you get a complete method, templates, and a custom playbook that accelerates delivery by months.

FAQ

Do I need a technical background to follow the course?

The modules explain concepts in plain language and include hands-on templates for non-engineers.

Will the course cover the specific AI tools we use?

Templates are tool-agnostic and can be applied to any model or platform your teams adopt.

How much time will I need each week?

Expect 3-4 hours of focused work per week to complete the modules and apply the artefacts.

Is there ongoing support after I finish?

You receive a community forum link for peer advice and future template updates.

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.