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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.

...design workshop — draw the seams for your system, coupling and cohesion assessment of your current architecture, bounded context identification and ubiquitous language definition, decomposition canvas...

1.5 DaysIntensive
FoundationSA · EA
Technical Debt & Rationalisation
Intermediate to Advanced (SA, EA, TS)5-6 hoursTechnical debt taxonomy + rationalisation prioritisation framework + modernisation criteria

How to understand, measure, prioritise, and reduce technical debt — the accumulated cost of shortcuts, outdated decisions, and deferred maintenance.

...accidental, bit rot, and architectural Not all debt is the same. A missing test is different from a wrong architecture. A deprecated library is different from a shared database. Treating all debt the same leads...

1 DayIntensive
StrategicSA · EA · TS
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.

1 DayIntensive
StrategicSA · EA · TS
Delivery Metrics That Mean Something
Engineering Managers, Tech Leads, VP Engineering, CTOs3-4 hoursA delivery scorecard — four DORA signals plus a five-dimension maturity baseline with one named bottleneck

How to replace delivery dashboards that measure activity with signals that tell you which dimension is actually holding delivery back — and what to fix first.

...whether the aircraft is ready to fly. Most organisations do not treat delivery this way. They say: our architecture is maturing, our governance is improving, we are becoming more agile. Those are feelings,...

1 DayIntensive
EvidenceNot feeling
Fitness Functions Instead of Review Boards
Enterprise Architects, CTOs, Review Board Members, Engineering Leaders3-4 hoursA three-tier fitness function plan — your first three invariants automated, and the board agenda they retire

Batch review cannot govern continuous change. How to encode architectural invariants as automated checks — and what still belongs to the board.

...changing every day — wiring, load-bearing walls, plumbing routes — none of which the inspector sees. The architecture review board is that inspector. It meets on a schedule. It reviews what is presented to...

1 DayIntensive
ContinuousNot batched
AI Decision Rights: Who Decides What When No Human Is Watching?
AI Decision Rights: Who Decides What When No Human Is Watching?

Decision rights models assume human decision-makers. AI agents breach that assumption silently. Here is how to extend decision rights to cover autonomous actors before the first ungoverned decision becomes a production incident.

Executive Summary Who this is for: CTOs, Enterprise Architects, AI Governance Leads, Architecture Board Members, Heads of Engineering Problem it solves: Decision rights models exist in most...

Developer Experience Is Not a Perk. It Is a Delivery Control System.
Developer Experience Is Not a Perk. It Is a Delivery Control System.

Developer experience is not about making developers happy. It is about controlling the conditions that determine delivery output. Organizations that treat DX as a perk have removed the control system from their delivery engine without knowing it.

Executive Summary Who this is for: CTOs, Engineering Leads, Platform Engineering Teams, Architecture Review Boards, Engineering Managers Problem it solves: Organizations invest in developer...

The Enterprise AI Operating Model: From Experimentation to Institutional Capability
The Enterprise AI Operating Model: From Experimentation to Institutional Capability

A structured executive guide explaining how to move from AI experimentation to an Enterprise AI Operating Model with governance, autonomy control, and cost discipline.

...governance or structural clarity Key outcome: A practical framework to institutionalize AI across strategy, architecture, autonomy, and cost control Time to implement: 60–90 days Business impact: Reduced AI...

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.

...decisions grounded in operational truth Time to implement: 30–60 days to build an Incident Ownership Architecture and act on its findings Business impact: Org changes that target real structural gaps, reduced...

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