From discovery to delivery
Every engagement follows our five-stage model. Here's what each stage delivers for your business.
AI Opportunity Discovery
We map your operations against proven AI capability patterns to find the opportunities with the highest return for the lowest cost.
The process starts with a lightweight self-serve intake form — under ten questions, taking less than five minutes. This captures your business profile, key processes, data landscape, and goals.
We then run your data through a defined scoring framework, assessing AI suitability, data readiness, volume, change complexity, and cost-benefit for each process. The result is a ranked shortlist of 2–5 opportunities with clear rationale for each.
Proof of Concept Validation
We build a working demonstration against your real data before you commit to development spend.
For the top one or two opportunities, we build a lightweight working demonstration against anonymised versions of your data. You see the AI actually running on something that looks like your real problem — not a generic demo or a slide deck.
This is what sets us apart. Most consultancies deliver recommendations. We deliver proof. You see it working before any significant spend is committed.
Strategy Report & Recommendation
A plain-English report with everything you need to make an informed decision.
You receive a comprehensive report covering the full opportunity analysis, recommended approach, realistic monthly running costs, a phased implementation roadmap, and an honest assessment of where the AI will struggle.
No hype, no jargon — just what you need to make a decision. Every report includes a clear section on limitations so you know exactly what to expect.
Development Handoff
A clean, unambiguous brief for your development partner — no questions left unanswered.
The final deliverable is a development-ready brief that passes directly to your development partner. It includes agreed scope, technical approach, data sources, integration points, and measurable success criteria.
Every question is answered before build starts. Your dev team gets clarity, not ambiguity — reducing the risk of scope creep and failed implementations.