Don’t start by building AI. Start by understanding the business.
Before we recommend any technology, we examine how your organisation actually operates. That's what separates a credible AI roadmap from a speculative one.
A structured view of the entire business, not just its technology.
The diagnostic looks across ten dimensions of how your organisation runs today, so recommendations are grounded in how work actually happens, not assumptions about it.
- Business objectives
- People and roles
- Workflows
- Operational friction
- Technology
- Data
- Existing automation
- AI maturity
- Risks
- Potential value
Our job is to determine where AI belongs, and where it doesn’t.
Four criteria, applied in order.
Every opportunity we find is tested against the same four questions. The order matters: a use case that fails the first test does not earn a place on the roadmap by passing the other three.
01
Value to the business
First and non-negotiable. We quantify the opportunity using your own figures: how many people do this work, for how many hours, at what cost. If it does not move a number you already track, it does not make the roadmap.
02
Feasibility
How hard this is to deliver against what it returns. Data availability, systems access, security requirements, and whether the build cost is proportionate to the saving. There is no case for a six-figure build returning five figures a year.
03
Risk
Exposure to the organisation and its stakeholders, including data and security risk, over-reliance on AI where judgement is required, and the opposite failure of staff quietly refusing to use it at all.
04
Speed to value
How quickly this produces something measurable. We sequence the roadmap so the first solution delivers visible impact within about four weeks, because momentum early is what keeps a programme funded.
A clear answer to the question: what should we build?
The findings are presented in a working session, not posted over as a two-hundred-page document. You get the ranked roadmap and prototypes you can actually operate, so the decision in front of you is which use case to build first, rather than whether any of this is real.
AI Maturity Assessment
Current-State Operational Findings
Workflow Analysis
Prioritised AI & Automation Use Cases
Working Prototypes of Priority Use Cases
Business Value Assessment
90-Day Implementation Roadmap
12-Month AI Roadmap
See exactly where AI can create value in your organisation.
The diagnostic starts with a short intake form, followed by a structured review of your business.