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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.

...system, reviewing every decision, and creating every diagram, they become the bottleneck. AI can suggest patterns, platforms provide foundations, and teams are empowered to decide. The architect must evolve...

1 DayIntensive
StrategicEA · TS
ArchitectureOperating ModelAIFuture of WorkStrategyPlatformView Details
Quality Attributes / -ilities
SA, EA — Intermediate5-6 hoursQuality attribute reference card + -ility prioritisation matrix

The non-functional characteristics that determine whether a system is truly fit for purpose — scalability, reliability, availability, performance, security, maintainability, and more.

...identified the tensions, you're discovering them in production. Tactics for each — Specific design patterns that improve each attribute Knowing which quality attributes matter isn't enough — you need...

1 DayIntensive
SA · EARoles
ArchitectureQuality AttributesNon Functional RequirementsDesign TacticsView Details
AI Decision-Making & Human Oversight
Beginner to Intermediate3-4 hoursHuman oversight framework + decision rights map + review checklist

AI can assist decisions, but accountability still belongs to people. Learn the operating rules for review, approval, escalation, confidence, and human authority in AI-supported work.

...operational. Decision support means AI helps a person reach a judgment. It may summarise evidence, identify patterns, generate options, highlight inconsistencies, or recommend next steps. But the person remains...

Half DayPractical
Control ModelDecision Ready
Human in the LoopAI OversightDecision MakingAI GovernanceAccountabilityView Details
AI Implementation & Technical Architecture
Intermediate to Advanced5-7 hoursAI architecture blueprint + MLOps framework + deployment playbook

Turning AI prototypes into reliable, scalable production systems. MLOps, model serving, RAG architecture, monitoring, and the engineering discipline that most AI projects are missing.

...format, and domain-specific behaviour. They're not alternatives. They're complementary. Advanced RAG patterns worth knowing: hybrid search combines semantic and keyword search for when exact terms matter....

2 DaysIntensive
ArchitectureBlueprint
AI ArchitectureMLOpsModel DeploymentAI InfrastructureProduction AIView Details
Investment & Prioritisation
Advanced (EA, TS)5-6 hoursInvestment prioritisation model + business case guide (including TCO and unit economics) + sequencing criteria

How to decide which technology initiatives get funded, in what order, and why — connecting architecture to financial decisions and business outcomes.

...organisations get wrong and what it costs Investment decisions fail in predictable ways. Knowing the patterns helps prevent them. The seven most common investment mistakes: Mistake What it looks like...

1 DayIntensive
StrategicEA · TS
ArchitectureInvestmentPrioritisationBusiness CaseStrategyFinOpsView Details
Operating Model Choices
Advanced (EA, TS)5-6 hoursOperating model design canvas + team topology guide + Conway's Law application worksheet + Communication Structure Heatmap

How the structure of technology teams shapes the structure of the systems they build — covering Conway's Law, centralised vs federated models, platform teams, product operating models, team topologies, and designing the organisation that produces the architecture you want.

...modes: Mode What it means When to use Collaboration Teams work together closely Discovering new patterns X-as-a-Service One team provides, others consume Stable, well-defined capabilities Facilitating...

1 DayIntensive
StrategicEA · TS
ArchitectureOperating ModelConway's LawTeam TopologiesPlatform TeamsStrategyView 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.

...another. Same word, different meaning → different bounded contexts. Bounded contexts integrate through patterns. Customer-Supplier — upstream context provides, downstream consumes. Conformist — downstream...

1.5 DaysIntensive
FoundationSA · EA
ArchitectureSolution DesignDecompositionDomain Driven DesignBoundariesView Details
Stakeholder Management & Politics
Intermediate to Advanced (SA, EA, TS)5-6 hoursStakeholder map template + conflict resolution framework + executive alignment guide

How to navigate organisational dynamics, manage conflicting priorities, resolve decision deadlocks, and build executive alignment — because the best architecture recommendation fails without stakeholder alignment.

...legitimately concerned? What do they do? — are they blocking, ignoring, going around, or engaging? Anti-patterns — what NOT to do: Override — "The architecture board has decided." Creates resentment; resistance...

1 DayIntensive
StrategicSA · EA · TS
ArchitectureStakeholder ManagementPoliticsInfluenceConflict ResolutionView Details
AI in the Workplace
Beginner to Intermediate3-4 hoursPersonal AI workflow map + role-specific use case library

Applying AI in real work contexts — across roles, tasks, and teams. Move from knowing what AI is to using it every day, without hype, without fear, and without wasting time on the wrong things.

...policy documents, drafting process documentation. These tasks are high-volume, follow recognisable patterns, and are relatively easy to verify — a strong fit for AI assistance. HR and L&D professionals...

Half DayIntensive
Beginner FriendlyNo math required
AI in the WorkplaceGenerative AIProductivityAI FluencyUse CasesAI WorkflowsView Details
How to Think With AI
Beginner to Advanced5-7 hoursPersonal AI Fluency framework + working habits

AI Fluency — the four competencies that separate people who use AI from people who think with it. Delegation, Description, Discernment, Diligence. Master these and everything else follows.

...discernment is checking the reasoning underneath the output. This is where most people drop off. Common patterns to watch for: the AI contradicts itself between paragraphs (logical inconsistency). It produces...

2 DaysIntensive
4 CompetenciesComplete Framework
AI FluencyGenerative AIProductivityAI WorkflowsResponsible AIView Details
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