Capability
Technology Reviews & Assessments
Sometimes you need an honest, independent read before you commit.
The problem we see
- Considering a transformation and unsure you're ready
- Inheriting a delivery organisation you need to understand fast
- Evaluating an acquisition's technology and team
- Adopting AI and unsure where the real risk sits
Why it matters
Big technology decisions — a transformation, an acquisition, an AI bet — turn on questions that are hard to answer from inside. An independent diagnostic locates the real constraint before you spend against the wrong one.
How we think
A review is a mirror, not a sales pitch. We score where you are against the same models we publish, name the binding constraint, and tell you the next move — whether or not it involves us.
What we do
- Delivery Architecture review — where intent leaks between strategy and outcomes
- AI engineering readiness — where you sit on the maturity model and what limits adoption
- Governance-to-value review — which controls earn the delay they impose
- Architecture & platform assessment — a frank read on fitness for what comes next
How we deliver
Time-boxed, evidence-based diagnostics that end in a scored result and a prioritised set of moves — many begin with one of our online assessments.
Outcome
Clarity on where you stand, and what to do next.
Frameworks behind this
- Delivery Architecture: The Translation Layer — The discipline connecting business strategy to product, architecture, engineering, operations and outcomes — the missing translation layer made explicit as a named, measurable capability.
- The Governance-to-Value Ratio — Every control is a wager that the decision quality it adds beats the delay it imposes. This is the lens for settling that wager — and for telling enabling governance apart from theatre.
- The AI Engineering Maturity Model — Five stages from Experimentation to AI-Native Organisation — what each looks like, how to advance, and what to measure. The canonical basis for assessing where your engineering function actually sits, not where it feels it sits.