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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.

...purpose. A payment system that processes transactions correctly but has no redundancy is a business risk. A platform that works today but can't be modified without breaking things is on a path to legacy. The...

1 DayIntensive
SA · EARoles
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
Standards & Reference Architectures
Intermediate (SA, EA)4-5 hoursReference architecture library starter + standards register + architecture principles catalogue

How to create, govern, and operationalise architecture standards and reference architectures — the agreed patterns and structures that create consistency, reduce duplication, and accelerate delivery at scale.

...create consistency across an organisation — reducing duplication, accelerating delivery, and managing risk at scale. Standards settle common questions once, so teams don't have to re-debate them every sprint....

1 dayIntensive
PracticalStandards exercise
Technology, Infrastructure, Cloud & Security Design
Intermediate to Advanced (SA, EA)6-8 hoursInfrastructure decision framework + cloud pattern reference + security controls map

Where abstract architecture meets physical reality — choosing the platforms, compute, networking, and security controls that make the solution work at scale.

...Operational complexity — how hard is it to run? Cost (initial + ongoing) — what's the TCO? Vendor lock-in risk — how hard is it to leave? Community and ecosystem — is there support? Regulatory compliance — does...

2 DaysIntensive
PracticalSA · EA
AI Agents and Automation
Intermediate to Advanced6-8 hoursAgent use case map + architecture blueprint + governance framework

AI agents — what they are, how they work, the protocols shaping them (MCP, A2A), and the governance you need before you let one act on your behalf. The bridge between AI that talks and AI that does.

...doesn't need every step defined. It figures out the steps from the goal. That is both the power and the risk. This guide walks through what agents are, how they work, the protocols that are making them interoperable...

2 DaysIntensive
Agent DesignWorkshop
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
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.

...action. By the time people say "the AI decided," accountability has already been blurred enough for risk to spread. That is why oversight matters. Not because AI is uniquely dangerous in every context,...

Half DayPractical
Control ModelDecision Ready
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.

...your AI project (or planned one), rate each dimension. Your largest gap is your biggest implementation risk. Dimension Current state Target state Gap size Data Sample / Production pipeline Small / Medium...

2 DaysIntensive
ArchitectureBlueprint
AI Measurement & ROI
Intermediate to Senior Leaders3-4 hoursAI measurement framework + ROI model + leadership dashboard template

Proving AI's value — defining success before you start, attributing outcomes correctly, and reporting to leadership in a way they trust. The discipline of answering the question every executive asks: is this worth it?

...counting things the AI did. It's about connecting AI activity to business outcomes — revenue, cost, risk, capability — in a way that leadership trusts. The biggest reason organisations can't prove AI...

1 DayIntensive
ROI FrameworkDeliverable
AI Operating Model & Team Design
Intermediate4-5 hoursAI operating model blueprint + team role map + governance forum design

AI success is not just about tools. It depends on how teams are organised, who owns what, how standards are set, and how delivery, governance, and platform capabilities work together.

...owns the platform? Who helps functions redesign workflows? Who decides what gets scaled? Who handles risk review? Who trains teams? Who measures value? If those questions are unresolved, the organisation...

1 DayStrategy
Operating ModelDesign
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