bRRAIn Certified AI-Augmented Professional

The shift from AI on tasks to AI across workflows. The four workflow domains and the bodies of knowledge behind them (PMBOK, BABOK, Lean and Six Sigma). Blast radius and downstream responsibility. Where each domain lives in bRRAIn.

1. Pretest: where you stand before Module 1 Diagnostic pretest · 5 min
2. From task to workflow — the professional shift Reading · 15 min
3. The four workflow domains every professional owns Reading · 12 min
4. PMBOK process groups — where AI inserts naturally Reading · 15 min
5. BABOK knowledge areas — which are AI-amplifiable today Reading · 15 min
6. Lean and Six Sigma — fitting AI into a process-discipline frame Reading · 12 min
7. Blast radius — why a bad professional artefact costs more Reading · 15 min
8. Where are you on the professional ladder today? Worked example · 15 min
9. Your professional workspace in bRRAIn — where the four domains live Reading · 15 min
10. Lab 1 — The 'fully automated' weekly update: a blast-radius and HITL audit AI role-play lab · 35 min
11. Module 1 retrieval check Retrieval check · 10 min

From the moment an ask arrives to a plan that survives the second meeting: five-bucket intake, scope that leads with what is out, dependency-model schedules and the critical path, specific and ranked risks, and a living plan kept current in Nexus Plan.

1. Pretest: planning Diagnostic pretest · 5 min
2. The intake conversation — what good looks like Reading · 15 min
3. Scope statements that survive the second meeting Reading · 15 min
4. Schedule construction — milestones, dependencies, critical path Reading · 15 min
5. Risk identification — the five-question opener Reading · 15 min
6. Probability × impact scoring without false precision Reading · 15 min
7. Living plans — keeping the artefact useful, not pristine Reading · 15 min
8. Common AI-augmented planning pitfalls Reading · 15 min
9. Worked example — the returns-portal plan in Nexus Plan Worked example · 15 min
10. Lab 2 — From intake to a defensible plan: scope, schedule and risk AI role-play lab · 45 min
11. Module 2 retrieval check Retrieval check · 10 min

Eliciting what stakeholders don't think to say, decomposing into vertical INVEST stories, writing acceptance criteria an engineer can build to, validating every story against an outcome, removing ambiguity, analyzing stakeholder friction, and reviewing AI-drafted requirements against their sources.

1. Pretest: requirements Diagnostic pretest · 5 min
2. Elicitation — the techniques that work and the AI prompt that runs them Reading · 15 min
3. User-story decomposition — INVEST, story-splitting, vertical slicing Reading · 15 min
4. Acceptance criteria the engineer doesn't have to interpret Reading · 15 min
5. Outcome-traced requirements — every story maps to a business outcome Reading · 15 min
6. Ambiguity in your own writing — the AI scan to run before sending Reading · 15 min
7. Stakeholder analysis — RACI, power-interest and the friction map Reading · 15 min
8. Pitfalls — when AI-drafted requirements quietly degrade quality Reading · 15 min
9. Scenario — reviewing an AI-drafted requirements package before it ships Scenario · 15 min
10. Lab 3 — Elicit, decompose and validate a vague feature ask AI role-play lab · 45 min
11. Module 3 retrieval check Retrieval check · 10 min

Running decision meetings with AI capture (Nexus Meetings) without losing presence, one-page briefs that name dissent, audience-calibrated status updates with real asks, retros that produce commitments, the sync-or-async call, and recording decisions where the next person will find them.

1. Pretest: meetings, decisions and updates Diagnostic pretest · 5 min
2. The meeting co-pilot pattern — present and capture without losing presence Reading · 15 min
3. The one-page decision brief — the five fields that matter Reading · 15 min
4. Naming dissent — the brief that ages well Reading · 15 min
5. Status updates — calibrated to executive, team and cross-functional readers Reading · 15 min
6. The asks line — the one most professionals leave off Reading · 15 min
7. Retros that produce commitments, not catharsis Reading · 15 min
8. Async-friendly comms — when not to schedule a meeting Reading · 15 min
9. Worked example — from meeting to institutional memory Worked example · 15 min
10. Lab 4 — Facilitate a decision meeting and write the brief that ages well AI role-play lab · 45 min
11. Module 4 retrieval check Retrieval check · 10 min

Mapping current state with AI drafting and practitioner walkthroughs, running DMAIC as gated steps, root-cause analysis that resists premature convergence, SWOTs that survive challenge, ISO 9001 habits applied to your own work, and judging AI-proposed corrective actions against evidence.

1. Pretest: process and quality Diagnostic pretest · 5 min
2. Process mapping — current state with AI doing the drafting Reading · 15 min
3. DMAIC end-to-end on a recurring process Reading · 15 min
4. 5 Whys with AI — and the discipline that prevents premature convergence Reading · 15 min
5. Ishikawa — branches the AI suggests versus branches you own Reading · 15 min
6. SWOT that survives challenge Reading · 15 min
7. ISO 9001 fundamentals applied to your own work Reading · 15 min
8. Pitfalls — when AI process work drifts from reality Reading · 15 min
9. Scenario — judging an AI-proposed root cause and corrective action Scenario · 15 min
10. Lab 5 — Run DMAIC on a recurring process with a skeptical process owner AI role-play lab · 45 min
11. Module 5 retrieval check Retrieval check · 10 min

Human-in-the-loop discipline at professional blast radius, working memory that makes any session resumable, the engagement context file in a bRRAIn project, the ten-minute warm-up, clean handoffs and exits, and the bRRAIn session method that turns AI-assisted work into institutional memory. Ends with the capstone.

1. Pretest: governance and working memory Diagnostic pretest · 5 min
2. Human-in-the-loop at the professional tier — larger consequences, same rules Reading · 15 min
3. Working memory across a six-month engagement Reading · 15 min
4. The engagement context file — the document that does the work Reading · 15 min
5. Resuming a stale session — the ten-minute warm-up Reading · 15 min
6. The clean handoff — context and trust transferred together Reading · 15 min
7. Clean exits — what you leave behind that compounds Reading · 15 min
8. Worked example — AI-assisted sessions that leave a record Worked example · 15 min
9. Lab 6 — Hand off a six-month engagement without losing context or trust AI role-play lab · 40 min
10. Module 6 retrieval check Retrieval check · 10 min
11. Capstone — Run the whole professional workflow AI role-play lab · 60 min