We find the two to three places where AI creates the fastest ROI, and turn ambition into measurable outcomes.

A fixed-fee, two to three week diagnostic that ends in a costed deployment plan, not a strategy deck. A score is not a deliverable.

Certified across the Claude stack
Claude Certified Architect — FoundationsClaude Certified DeveloperClaude Certified Architect — ProfessionalClaude Certified AssociateClaude Code Partner

AI tools don’t create value on their own. Human-in-the-loop workflow design is what turns adoption into outcomes.

The Diagnostic turns your wishlist into a ranked, scored backlog, with numbers a CFO will fund.

We start with the foundations.

The Diagnostic answers the key questions before anyone writes code: what to apply AI to, in what order, what it will cost and return, and who owns it.

Those answers depend on the ground AI will stand on. So we examine the foundations and score each one against evidence from your real systems, your data, and how your teams actually work.

The foundations
THE FOUNDATIONSStrategy and visionHow do AI goals align with business priorities andleadership objectives?Data foundationIs data in a quality state, accessible with securityand governance in place?Organisation and cultureWhat is the level of your AI literacy, workforceskills and appetite for change management?Technical infrastructureDo you have the necessary hardware, cloud computingstrategy and integration capabilities?Governance and complianceHave you incorporated risk frameworks, AI usagepolicies and regulatory controls?Model managementHow are you currently developing, monitoring andmaintaining AI models?

You leave with:

01.
Your foundations, scored on evidence.
02.
Gap analysis identifying where strategy, data, talent, and governance need strengthening.
03.
A stakeholder map.
04.
Process maps built from structured data, step by step, handoff by handoff.
05.
A ranked use case backlog with effort and impact scoring, separating quick wins from the prerequisites to fix first.
06.
Priority workflows scoped in detail.
07.
A business case with a spend baseline and payback period, tied to a metric your finance team already tracks.
08.
A sequenced roadmap with named owners and success metrics.
09.
An explicit list of what we recommend you don’t pursue this year.

Two to three weeks to a clear deployment plan.

Week 1
Interviews with the people who do the work, department leads, practitioners, and leadership, walking through their actual workflows: what triggers each process, where handoffs happen, where things break down, and how long each step takes.
Week 2
Working sessions with department leads surface process pain points, existing workarounds, and the tasks teams would most readily hand over. Priority workflows are scoped in detail.
Week 3
Use cases are scored on effort and impact, and a business case is built on your spend baseline with a payback period. The engagement closes with an executive readout.

The Deployment Diagnostic is a fixed fee scoped to systems and team count, agreed before we start. No hourly billing and no open-ended discovery phase. Your side typically takes a few hours a week in reviews and feedback.

Access is read-only and agreed in writing. Your content stays in your environment, and nothing changes in production without your approval.

You own everything we produce.

Take the plan and build it in-house, or take it to another firm. That happens, and the diagnostic still did its job.

Go ahead with the build within 90 days and the diagnostic fee is credited against it. And if a workflow is not worth automating yet, the report says so.

Frequently asked questions

Stalled AI programmes usually fail for three reasons: the use case was chosen by enthusiasm rather than impact, nobody owned the outcome after the pilot, or the data wasn't ready and that only surfaced late. The Diagnostic deliberately front-loads all three.

No. Assessing your data landscape is part of the work, not a prerequisite for it. What we do need is access to see it.

Read-only access granted to the admin centres, scope confirmed in writing. No production changes. Nothing without approval.

Yes, and you are under no obligation to use us for it. The advantage of the same team planning and building is that the plan is costed against real delivery estimates rather than assumptions.

The large firms typically run eight to sixteen weeks of discovery before a recommendation. Ours runs two to three weeks, and is delivered by the same team that would build it.

A fixed fee, agreed before it starts. No hourly billing and no open-ended discovery phase.

Start where you are. Build what it takes to keep AI moving across the business.

Thirty minutes. No pitch.

We'll walk through your current AI setup, name the three things we'd fix first, and tell you honestly whether you need us at all.