Clarity in weeks. Change that sticks.
Whether you need a clear diagnosis of how your product and technology delivery really performs, a map of where AI will genuinely pay off, or both, we start with the questions you need answered and test them against the evidence. In four to six weeks you'll know what's holding you back, where the opportunity is, and what to do first. All with a light touch on your team.
4–6 weeks
From first conversation to roadmap
Light touch
No new platforms and minimal time from your team
Roadmap-ready
Findings and a plan you can act on
From first conversation to measurable change.
Four to six weeks from scoping to roadmap. The same process works whether you're fixing delivery, finding where AI will create value, or both. Each stage builds on the evidence from the last, so by the time we recommend anything, it has been tested against the data, against your people and against reality.
Week 1
Scope
We start with what you need to know: what's holding delivery back, where AI could create more value, or both. Your hypotheses, strategic context and the decisions in front of you set the focus: what we measure, who we speak to and what answers we need to get.
Weeks 1–2
Baseline
We take read-only access to the tools your teams already use and build an objective picture of delivery performance and AI adoption: speed, quality, where capacity actually goes and how AI is really being used today.
Weeks 2–3
Investigate
We investigate through three lenses. Structured interviews across product, engineering, commercial and leadership. A survey of the wider team. And desk research: your artefacts (strategy decks, roadmaps, backlogs, requirements and process docs), how your tools are configured and actually used, and the market you compete in. Alongside the constraints, we look for where AI could create value: in internal workflows, customer-facing products and the operations that connect them.
Weeks 3–4
Synthesise
We bring everything together: delivery data, interviews, survey results and desk research, mapped across the whole system. Issues surfaced in one area are tested against others, so we can separate causes from symptoms, see where the real constraints sit and shortlist the AI opportunities worth pursuing. The result is a clear set of findings and opportunities, ready to test.
Week 4
Viability check
Before anything becomes a recommendation, we test it. We validate findings and AI opportunities with the people closest to the work and check each potential move for viability, feasibility and readiness, including whether your organisation can absorb and sustain it. Sometimes the honest answer is "not yet". What survives is grounded in how you really operate, so nothing reaches the read-out untested.
Week 4
Read-out and strategy
A working session with your leadership team, not a document drop. We present what is happening, what is causing it, what it is costing you and where AI will pay off, with every finding evidenced and already pressure-tested with your people. You leave clear on what matters most and what comes next.
Weeks 5–6
Roadmap
We follow up with a 90-day mobilisation plan and a 12–18-month roadmap covering delivery fixes and prioritised bets, sequenced into no-regret, tactical and strategic moves. Each move has owners, measures and explicit scale-or-stop gates.
Optional add-on
Act and re-measure
We help you deliver the changes and stand up your first AI initiatives alongside your team. Then we re-run the baseline to show what moved, in money terms.
Light touch. High impact.
We're deliberately light on your team. Most engagements run four to six weeks without disrupting delivery, and finish with output your board can act on.
What we need from you
- A point person to coordinate access and scheduling: 1–2 days at kickoff, then around half a day a week.
- Read-only access to your engineering and project tools, with nothing new to deploy.
- Access to any existing metrics tools, if you have any.
- 30–45 minute interviews with leaders and heads of function across product, engineering and commercial.
- A 15–20 minute survey for the wider team.
- Existing strategy decks, org charts and roadmaps.
What you get back
- A delivery performance and AI adoption baseline, benchmarked against comparable businesses.
- Findings with root causes, separated from symptoms and backed by evidence.
- Engineering economics: where spend goes and what it produces.
- Prioritised recommendations and AI opportunities, mapped by value, effort and readiness.
- A 90-day mobilisation plan and a 12–18-month roadmap.
Start with a conversation
A 30-minute call is usually enough to see whether we can help, and whether to start with a delivery diagnosis, an AI opportunity map, or both.
