AI advisory

AI That Earns Its Keep

Most AI projects stall because they start too big or in the wrong place. We find the use case in your business where AI pays back fast, prove it in weeks, and only then help you scale it.

What it is

Start Small. Prove the Number. Then Scale

The businesses that get the most from AI don't start with a transformation programme. They pick one high-volume, exception-heavy workflow, run a focused pilot, measure the result against a real baseline, and decide from there.

We do the analysis to find that workflow, design the pilot so the result is credible, and, if it works, help you scale it, often using B360 so you're not building from scratch.

What you get

A ranked shortlist of AI use cases with real value estimates for your data
A clear recommendation: build in-house or buy a tool
A pilot designed so the result is measurable and credible
Weekly progress and a go/no-go report at the end of the pilot
A scale plan you can run yourself, we hand over cleanly

How we approach it

Find, Prove, Scale

Weeks 1–3

Find the Right Use Case

Operations, finance and IT interviewed
The highest-volume workflows mapped
The opportunity sized in each

Weeks 2–3

Assess Data & Options

Data quality checked per use case
Build against buy assessed
The fastest credible path recommended

Weeks 4–12

Prove It in a Pilot

One real workflow, live
Measured against the baseline
Reported weekly

After pilot

Decide and Scale

Go or no-go on real numbers
What works scaled on your own stack
A clean handover to your team

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Sample deliverable

See What You'd Actually Get

Download a redacted sample of the AI use-case shortlist and pilot design we produce. It shows the ranking framework, value sizing approach and data-readiness assessment.

Sample deliverable

AI Advisory, Use-Case Shortlist & Pilot Design

A redacted example showing ranked use cases with value estimates, a data-readiness summary, and a pilot design for the top candidate.

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