Brittney Ball

AI Doc Strategist. Engineer. Author. Community Builder.  2x Founder.  Ex Meta

Audit Any AI Product's Documentation in 7 Questions

Chief Knowledge Officer and co-founder at Aortem, Ex Meta

Apply the 7-Question Documentation Audit to any AI product in under ten minutes

Run the 7-Question Documentation Audit on any AI product

Spot documentation theater: know when a limitation statement protects the company instead of the user.

Spot Documentation Theater vs real AI transparency

Leave with a repeatable framework: run this audit on your own product, a vendor's, or a competitor's the same day.

Build a repeatable AI documentation audit process

Take one real problem from the first interview to the shipped prototype, using AI at every step. Leave with proof you can do the job.

Product Owner @ JPMC | Ex-Amazon

JPMorgan Chase & Co.

Amazon

State Street

Nexus Adv

Nijat Hajiyev

Product Owner @ JPMC | Ex-Amazon, Ex-State Street

Cohort - Sep'25

Learn to turn problems to the products in 2 months

Cohort 2 - Aug'26

Every week another tool promises to do your job. AI writes the user story. AI drafts the BRD. AI maps the process in nine seconds.So you learn the tools. You take the course, collect the certificate, memorize the framework. And you are still the person who documents what someone else already decided.What did not change: someone has to sit in a room of people who disagree, find the real problem under the noise, and decide what gets built. AI made that person more valuable. It made everyone else optional.This course builds that person!You take one real problem, yours or one I give you, and drive it end to end: elicitation, root cause, process models, data, architecture, business case, prototype, pitch. AI is not a module here. You use it in every session, and you learn exactly where it lies to you.My students have moved from finance, marketing and support into analyst and product roles at KPMG, Velux, Docplanner and Revolut. Not because they memorized a framework. Because they had something to show.Not theory! Not another certificate! ProofQ

AI writes the docs now. Your value is knowing which problem to solve.

1. Find the real problem before anyone writes code

2. Model how the business actually works, not how people say it works

3. Get your own data instead of queuing behind the data team

4. Talk to engineers without losing the room

5. Build the thing, don't just describe it

6. Defend the decision in front of people

You are a BA or product owner who documents decisions made by others. You want to own the problem, not transcribe it.

You work in finance, ops, marketing or consulting. You know how a business makes money. You have nothing that proves you can build.

You are an engineer, data analyst or QA, tired of building whatever the vague ticket says. You want to define the problem, not receive it.

Audit, fix, and rebuild your company's AI search visibility, live with Q&A.

Founder, Catalyst GTM Agency

a16z

AirOps

Instantly.ai

Relay.app

Will Leatherman

17K followers, $2M in revenue, LinkedIn only — Will teaches what worked.

Cohort 1

The weekly lessons show you the moves. This is where you make them. In one working session you audit your own company across the AI engines, fix your highest-value pages live, and leave with an off-site plan and a 30-day cadence. You bring your site, we build alongside you, and you ask questions the whole way, so you finish with a working system in place.

Learn to audit, fix, and grow your AI search visibility. You become the marketer who gets your company named and recommended by AI.

Score your company's AI visibility across ChatGPT, Perplexity, and Google AI

Apply the levers that move AI citations

Rebuild your highest-value pages live so AI can quote them

Build an off-site plan to earn AI mentions in your category

Measure AI search as booked pipeline, not just traffic

Set a 30-day cadence to keep improving

B2B marketing leaders who own AI search visibility

Teams who followed the July lightning lessons and want to build it for real

Founders who want their company recommended by AI

Everyone is learning to build AI agents. Few can prove one is safe to deploy.

Ph.D. Scholar, CISSP, CISA, AAIA™, CDPSE

Cyber Pros Training

Centene

ISACA

Trenton Health Team

François B. Arthanas

Agentic AI Governance Practitioner | Ph.D. Candidate, CISSP, CISA, AAIA™, CDPSE

Learn how to govern agentic AI systems before they create risk, fail audits, or get your org in trouble.

AI agents are not chatbots. A chatbot answers a question. An AI agent retrieves customer records, calls tools, triggers workflows, issues refunds, sends emails, and acts sometimes before a human ever reviews the output.That means the question landing on YOUR desk is different:Can this agent leak PII? → Can it be prompt-injected through a poisoned document? → Can it call the wrong tool or the right tool with the wrong authority? → Can it issue an unauthorized refund? → Who owns the risk? And what evidence proves the controls actually work?Most professionals freeze at this question because they've only ever seen AI governance as policy slides and framework acronyms. They've never actually run an agent risk review end to end.In this one-day sprint, you will. You'll take a realistic enterprise AI agent through the complete practitioner loop scope → risk → control → test → evidence → decision and finish the day having written and defended a real deployment recommendation.You will watch an AI agent get broken live. Then you'll learn exactly how to make sure it never happens on your watch.

In one day, you'll run a real AI agent risk review start to finish and leave able to do it again at work, with the templates to prove it.

Scope a real enterprise AI agen a support agent that can access customer data

Break it: Run a live red-team session against the agent (no coding required)

Turn your findings into a one-page Trust Snapshot leadership can act on

Make the call and defend it in a live mock review board

You do not need to be an engineer. You do not need to know how to code. You do not need advanced AI expertise.

There are no strict prerequisites for this course

If you are curious about AI agents and want a practical way to think about oversight, this workshop will meet you where you are and move you

What you do need is an interest in understanding how AI is changing governance

This workshop is for professionals who know AI agents are becoming important and do not want to get left behind.

It is built for GRC, IT, cyber, privacy, legal &amp; consultants who need to understand how agentic AI changes the governance conversation

You should join this workshop if you want to understand how AI agents create risk &amp; how to contribute meaningful value inside your org

Use AI to catch what QC requirements, reports, and updates are hiding.

Enterprise HRIS & Quality Leader

Erie Insurance

National University

Sue Lhymn, Ph.D.

HRIS Manager with 25+ years in systems, data, and analytics

Data Quality & AI Risk Specialist

Pfizer

Emergent

University of Phoenix

Davenportu

Laura Harris, Ph.D.

CEO of an AI-driven, IP-generating, quality-focused company

August 2026

<h2>Most project documents look complete. Requirements feel thorough. Status reports read confidently. Updates sound reassuring, but the gaps that cause delivery failures rarely announce themselves. They hide inside vague acceptance criteria, missing edge cases, and assumptions no one questioned at sign-off. </h2><h2>This workshop focuses on that critical window between receiving a document and approving it. Instead of relying on instinct or a quick read-through, you will learn how to use AI as a structured verification partner; one that surfaces what's missing, flags what's ambiguous, and confirms what actually needs to be true before the work begins. </h2><h2>If you have ever approved something that later turned into a costly rework, a missed dependency, or a scope dispute, this session will give you a repeatable system to prevent it. You will leave with an AI-powered verification framework you can apply to requirements, status reports, and project updates starting the same day.</h2>

PMs, BAs, and Product Owners who are the last line of defense before a document moves to execution and want to be confident in that role

Stakeholders who approve project documents regularly but lack a structured method for knowing what to look for

Delivery leads who have experienced late-stage surprises caused by gaps that were present at sign-off but never caught.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.