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Data and AI
Intermediate4-6 hoursData readiness assessment + governance framework + pipeline blueprint

The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.

...problem AI exposes Data quality — the six dimensions Data governance — who owns and protects it Data architecture for AI Feature engineering Data pipelines Data for Generative AI — what's different Common...

1.5 DaysIntensive
Data ReadinessAssessment
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.

...is truly fit for purpose — not just whether it works, but how well it works under real conditions. Architecture is driven by quality attributes more than by functional requirements. Features can be added...

1 DayIntensive
SA · EARoles
Build / Buy / Partner / Participate — Ecosystem Strategy
Intermediate to Advanced (SA, EA, TS)5-6 hoursBuild/buy/partner/participate decision framework + vendor and ecosystem evaluation scorecard + exit and switching cost analysis template

How to decide what to build, what to buy, what to access through partners, and what to participate in through ecosystems — covering differentiation vs commodity analysis, vendor evaluation, total cost of ownership, interoperability velocity, exit strategy, and lock-in risk.

...mind. Differentiation vs commodity — The first question every sourcing decision must answer Most sourcing decisions start with "should we build or buy?" — but that's the wrong first question. The right first...

1 DayIntensive
StrategicSA · EA · TS
Platform Thinking
Intermediate to Advanced (SA, EA, TS)5-6 hoursPlatform strategy canvas + internal platform design guide + shared capability register

How to shift from building one-off solutions to building reusable internal platforms — shared foundations that allow teams to deliver independently without solving the same problems repeatedly.

...to deploy a new service: 1. Clone the template repository. 2. Run . 3. Write your code. 4. Run . No decisions needed. No configuration to figure out. It just works." Teams can deviate from the golden...

1 DayIntensive
CurrentSA · EA · TS
Decision Rights for Technology — Who Decides What in a Modern Enterprise
Decision Rights for Technology — Who Decides What in a Modern Enterprise

Why most enterprises confuse escalation ladders with decision rights — and how Technology Decision Domain Architecture maps exactly who decides what, at which altitude, before the conflict arrives.

Executive Summary Who this is for: Enterprise Architects, CTOs, CIOs, Architecture Leads, Engineering Directors Problem it solves: Technology decisions stall, duplicate, or...

Your On-Call Log Is Your Real Org Chart.
Your On-Call Log Is Your Real Org Chart.

Why on-call rotation data is the most accurate org chart your engineering organisation has — and almost nobody uses it to make structural decisions.

...model that uses incident and on-call data to reveal real ownership distribution and drive org design decisions grounded in operational truth Time to implement: 30–60 days to build an Incident Ownership...

MCP Is Not an AI Protocol. It Is a Governance Layer.
MCP Is Not an AI Protocol. It Is a Governance Layer.

MCP is classified as an AI integration protocol. It is actually a governance primitive — the stable interface layer that architecture fitness functions have been missing for years.

Executive Summary Who this is for: Enterprise Architects, Solution Architects, CTOs, Architecture Leads Problem it solves: Architecture fitness functions that break the moment a team changes...

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.

...oversight Decision support vs decision delegation Confidence, escalation, and review When not to automate decisions Designing accountable workflows Building an approval architecture The oversight model in one...

Half DayPractical
Control ModelDecision Ready
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.

...about making sure the right people have the authority to decide — and the accountability to own those decisions. That one idea turns bottlenecks into clarity, and it turns delegation from a question about...

1 DayIntensive
AltitudeWho decides what
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.

...system that looks like your organisation. That is not a metaphor — it is a law. If you want a different architecture, you need a different team structure first. That single idea moves delivery friction out...

1 DayIntensive
BoundariesStructure as design
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