Most AI budgets are spent before the case is made
Pressure to do something with AI produces pilots chosen by visibility rather than value. They demo well and change nothing, because the data was not ready, the process underneath was broken, or the use case never had a business case. The money is gone and the organisation concludes AI does not work.
- Pilots that impress in a demo and never reach production
- No agreed measure of what success would look like
- Data quality problems discovered halfway through a build
- Vendor selection driven by sales cycles rather than fit
- No view of which use case is worth doing first
What you get
Opportunity mapping
Your processes examined for where AI genuinely reduces cost, error or delay — and, just as usefully, where it does not.
Data and infrastructure audit
An honest assessment of whether your data can support what you want to do, and what would need fixing first.
Prioritised use cases
Five to ten candidates ranked by return, effort and risk, so sequencing is a decision rather than a preference.
Build, buy or wait analysis
For each use case, whether to build it, buy it, or leave it — including the cases where waiting is the right call.
Implementation roadmap
A phased plan over roughly eighteen months with dependencies, resourcing and decision points marked.
Business case
Cost and return modelled per use case with the assumptions written down, so the numbers can be challenged rather than taken on faith.
Risk and governance review
Data protection, model risk, regulatory exposure and the approval structures you will need in place.
Executive summary
A document that lets a board make a decision — findings, recommendation and the reasoning, without requiring technical background.
What the assessment produces
5-10
Use cases ranked by return18 mo
Phased roadmap3-6 wks
To completeHonest
Including "do not build this"Built for
- Organisations under pressure to adopt AI without a clear case
- Companies whose pilots have not reached production
- Boards asked to approve significant AI investment
- Businesses uncertain whether their data is ready
- Teams choosing between building and buying
How the engagement runs
Three weeks for a focused review, six for a full assessment.
Book a CallBook a Call- Weeks 1-2
Find the candidates
Interviews across the business and process analysis to identify where cost, error or delay concentrate — which is where AI has something to work with.
- Weeks 3-4
Test feasibility
Data quality, volume, access and infrastructure examined against each candidate. This is the stage that most often changes the answer.
- Weeks 5-6
Prioritise and model
Use cases ranked, business cases built, and the roadmap sequenced around dependencies rather than enthusiasm.
- After
Pilot, if warranted
If the assessment supports it, we scope and run the highest-value pilot with agreed success metrics. If it does not, we say so.
Frequently asked
Then that is the finding, and it is a valuable one. Some operations need process or data work first, and some problems have simpler solutions. An assessment that can only ever recommend building is not an assessment.
No. The roadmap is yours, written to be executed by whoever you choose — your own team, us, or another partner. It is deliberately not written to be dependent on us.
The assessment itself takes three to six weeks. Where a pilot follows, first results typically land within a further two to three months, and full implementations build return over a year or more.
The people who do the work, not only the people who sponsor it. Process owners and operational staff surface the constraints that determine feasibility; leadership sets the priorities.
Grow revenue
AI Sales Agent
Qualify every lead the moment it arrives, not the next morning.
Revenue Automation
Close the gaps between a lead arriving and cash landing.
AI Search & Lead Generation
Search that understands what people meant, not what they typed.
AI Voice & Chatbots
Answer the routine 80% instantly, escalate the rest properly.
Tell us what you are trying to fix
A short call is usually enough to establish whether this is the right answer for your operation, and what it would take. No obligation and no pitch deck.
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