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AI Evaluation, Testing & Validation
Intermediate to Advanced4-6 hoursEvaluation framework + test matrix + validation workflow

If you cannot evaluate an AI system, you cannot trust it. Learn how to test prompts, retrieval, agents, workflows, and production behaviour before confidence turns into risk.

...human review Metrics that matter Evaluating prompts, RAG, and agents Test set design and edge cases Validation as an operating habit What "good enough" actually means The evaluation loop in one diagram Cheat...

1 DayHands-on
ValidationCore Discipline
Your Platform Team Is Building a Product Nobody Asked For.
Your Platform Team Is Building a Product Nobody Asked For.

Most platform teams build internal products their engineering teams never chose. Platform adoption is not a marketing problem. It is a product governance problem. Here is the model that fixes it.

...problem. It is not an adoption problem. It is a governance problem: the platform was built without demand validation, without product governance, and without a mechanism to retire what nobody uses. Why Platform...

Security Is Not a Gate. It Is an Architecture Property.
Security Is Not a Gate. It Is an Architecture Property.

Security is treated as a gate at the end of delivery. It should be an architecture property designed into three distinct boundaries. Here is the model that fixes the friction between security and delivery.

...reviews are unnecessary. Because the framing places security outside the architecture — as an external validation step rather than an internal property of the system. An architecture property is not something...

Decision Velocity Is Not a Leadership Problem. It Is an Architecture Problem.
Decision Velocity Is Not a Leadership Problem. It Is an Architecture Problem.

Decision velocity is not constrained by leadership intent but by architectural design. Governance systems built for slower eras create mechanical delay between insight and execution.

...already allowed? That one change removes a large amount of waiting. From Batch Review to Continuous Validation Instead of depending on weekly or monthly review cycles, DVA uses continuous checks. The decision...

Run Event Storming Twice. The First Maps the System. The Second Exposes Governance.
Run Event Storming Twice. The First Maps the System. The Second Exposes Governance.

Why the second run of an Event Storming workshop — the one most teams never attempt — is the fastest way to surface governance gaps that architecture diagrams will never show.

...looks. Domain Layer (Top Row) Governance Layer (Bottom Row) OrderPlaced event No defined owner for order validation policy ProcessPayment command Authority gap — three teams claim the right to trigger FraudDetected...

Enterprise, Solution, and Technical Architects: Who Does What in a Context-Driven Architecture?
Enterprise, Solution, and Technical Architects: Who Does What in a Context-Driven Architecture?

A structured executive guide explaining the difference between Enterprise, Solution, and Technical Architects using Context-Driven Architecture to clarify responsibilities and reduce structural misalignment.

...Example They decide: Steel grade Joint reinforcement Waterproof membrane Load-bearing testing Structural validation They ensure the roof does not fail. Risk of Failure If Technical Architecture is weak: Technical...

Requirement Clarity: How Structured Persona Definition Reduces Rework and Misalignment
Requirement Clarity: How Structured Persona Definition Reduces Rework and Misalignment

A structured framework for defining personas that eliminates scope creep, reduces rework, and aligns engineering delivery with actual user needs — before development begins.

...5–8) Objective: Embed into delivery lifecycle Activities: Update requirement templates Add persona validation checkpoint Train product and architecture teams Success Metric: No requirement enters development...

Future of AI
Intermediate to Senior Leaders3-4 hoursAI horizon scan + strategic implications analysis + preparation roadmap

What's coming in AI — multimodal models, on-device AI, open-source momentum, protocols, regulation, and the shift to AI-native organisations. See around the corner without falling for hype.

...happening? Working products exist Only demos or papers Are multiple players pursuing it? Independent validation Single company claim Is there a clear trajectory? Each version better than last No clear progression...

Half DayIntensive
Horizon ScanDeliverable
Data & AI Direction
Intermediate to Advanced (SA, EA, TS)5-6 hoursData and AI direction framework + AI readiness assessment + governance overlay

How data strategy and AI direction connect to architecture — covering data quality, governance, data architecture for AI, AI enablement, responsible AI, data products, data mesh, and building a data and AI roadmap.

...system? Data domain Owner Quality enforced at source? e.g. Customer data Customer domain team Yes — validation at API entry If you can't answer the first column, nobody owns it. If the answer to the second...

1.5 DaysIntensive
CurrentSA · EA · TS
Application, Integration, API, Interface, Data & Process Design
Intermediate to Advanced (SA, EA)6-8 hoursIntegration design playbook + API design standards + data movement pattern guide

How the components of a solution are structured internally, how they communicate with each other, and how they connect to the data and processes they depend on.

...High Event sourcing, idempotency Batch (ETL/ELT) Loose Delayed High Medium Retry whole batch, data validation When to use each: User needs an immediate answer → Synchronous. User is waiting — latency...

2 DaysIntensive
ComprehensiveSA · EA