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AI Capabilities, Limitations & Use Cases
Beginner to Intermediate3-4 hoursTask-to-AI fit judgment + reference materials

What AI is genuinely good at, where it will let you down, and how to match the right task to the right tool. The judgment you need before you touch a prompt.

...audit List five tasks you did this week. For each one, decide: is this a Green Zone task (fluency is enough, risk is low), Yellow Zone (facts matter, verification needed), or Red Zone (can't afford to be wrong)?...

Half DayIntensive
Beginner FriendlyNo math required
Generative AIAI CapabilitiesAI LimitationsHallucinationUse CasesAI FluencyView Details
Future Operating Model
Advanced (EA, TS)5-6 hoursFuture operating model scenarios + AI-native organisation design principles + transition pathway + Communication Structure Heatmap

How organisations will need to restructure their technology capabilities, teams, and governance as AI, automation, and platform thinking reshape what it means to run a technology function.

...structures but the workforce still has the skills of 2020, the transformation fails. Skills must lead structural change — not follow it. Organisations that upskill after restructuring are already too late. A...

1 DayIntensive
StrategicEA · TS
ArchitectureOperating ModelAIFuture of WorkStrategyPlatformView Details
Conway's Law & Team Boundaries
CTO, VP Engineering, Engineering Directors, Principal Engineers3-4 hoursTwo-layer boundary map — the official org design set against actual incident load, with every structural gap named

Your architecture mirrors your communication structure whether you designed it that way or not — which makes team boundaries an architectural decision.

...coordinating? Should that decision belong to one team? Every meeting that exists to compensate for a structural gap is a standing charge on your delivery capacity. Write down the total hours per week. That...

1 DayIntensive
BoundariesStructure as design
Conway's LawTeam TopologiesOrganisational DesignTeam BoundariesView Details
Decision Rights & Delegation
Engineering Managers, Tech Leads, Directors, CTO, VP Engineering3-4 hoursDecision rights map by altitude and domain, with every gap, overlap and delay node named

Decisions made at the wrong altitude are the commonest source of both bottleneck and drift — which makes delegation a design problem, not a trust problem.

...altitude errors. One produces bottleneck, the other produces drift, and they are the two commonest structural failures in technology governance. A decision can only sit at team altitude if the team's...

1 DayIntensive
AltitudeWho decides what
Decision RightsDelegationGovernanceDecision VelocityView Details
Platform as a Product
CTOs, Heads of Platform Engineering, VP Engineering, Enterprise Architects, Platform Product Managers3-4 hoursA three-gate platform governance plan — validated backlog, a written scope boundary, and adoption targets per capability

An internal platform with no product owner builds what nobody asked for and skips what everybody needs — adoption, not completeness, is the only measure that counts.

Quick Navigation Start here — the kitchen that cooks what it wants Three structural failures behind low adoption The gate before build — demand The gate during build — scope The...

1 DayIntensive
AdoptionNot feature count
Platform EngineeringInternal Developer PlatformProduct GovernanceGolden PathsView Details
Solution Decomposition
Intermediate (SA, EA)4-6 hoursDecomposition canvas + domain/service/component hierarchy guide

How to break large, complex systems into smaller, independently manageable parts — so different teams can build, own, and change them without stepping on each other.

...every change requires understanding the whole Team autonomy vanishes — teams cannot work independently Risk increases — a failure anywhere can cascade everywhere Testing becomes exhaustive — you cannot test...

1.5 DaysIntensive
FoundationSA · EA
ArchitectureSolution DesignDecompositionDomain Driven DesignBoundariesView Details
How LLMs Work
Beginner to Intermediate4-6 hoursWorking mental model + reference materials

What actually happens inside a Large Language Model — from the moment you type a prompt to the moment it responds. No math. No fluff. Just a clear picture you can hold in your head.

...answer. This is called hallucination, and it is not a bug that will be patched in the next version. It is a structural consequence of how the model was trained. Remember the training objective: predict the next...

2 DaysIntensive
Beginner FriendlyNo math required
LLMsMachine LearningTransformersGenerative AIView Details
What is Generative AI?
Beginner3-4 hoursClear mental model of Generative AI + reference materials

Generative AI — what it actually is, how it works, what it's good at, and where it goes wrong. No hype. No math. Just clarity.

...authority that has no basis in fact. This is not a bug that will be fixed in the next version. It is a structural consequence of how the model was built. The right response is not to avoid AI — it's to verify...

Half DayIntensive
Beginner FriendlyNo math required
Generative AILLMsAI FundamentalsMachine LearningView Details
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