AI OPPORTUNITY REVIEW

Find out if AI is worth it
before you invest.

Start with a real problem, test what your data can tell you, and only build a full solution if there is evidence it will work. You get a clear recommendation at every step — including “don’t do it” when that is the honest answer.

  1. 01

    Free conversation

    30 minutes · no obligation

    Tell me about a process, machine or business problem you’re trying to solve. No technical sales pitch — just an honest view of whether AI could help and what the sensible first step would be.

  2. 02

    AI Opportunity Review

    A short, paid engagement · fixed scope agreed up front

    I look at the problem with you in more depth, alongside the data and systems you already have. What gets reviewed:

    • The current problem and what it costs
    • Your existing data
    • The systems you already have
    • Possible AI applications
    • Technical feasibility
    • Potential business value
    • Risks
    • The recommended next step

    YOU RECEIVEYour AI Opportunity Roadmap: what is feasible, what it could be worth, the risks, and a recommended next step.

  3. 03

    Proof of concept

    One specific problem · your real data

    We take one question and test it properly, without changing your production system. For example:

    • Can we predict this equipment failure?
    • Can we identify this defect automatically?
    • Can we classify these production events?
    • Can engineers question our technical documents?
    GO

    The approach works on your data and is worth developing.

    MODIFY

    The idea works, but needs different data or a different approach.

    STOP

    The data or the problem isn’t suitable — found out for the cost of a small test, not a large project.

    “No” is still a successful outcome. It costs far less to learn it here than after a large project.

  4. 04

    Build and improve

    Only once the concept is proven

    The working idea becomes a practical system your team can rely on, then is monitored and refined as your needs change. Depending on the problem, that can include:

    • Machine-learning model
    • Computer-vision system
    • AI application
    • Dashboard
    • API & data pipeline
    • Integration with your systems
    • Cloud or edge deployment
    • User interface
    • Documentation & support

WHAT YOU WON’T GET

Practical, low risk
and personal.

You work directly with the independent specialist building the solution, from first idea to working system. That keeps overheads low, decisions quick and the focus on something that works.

  • An expensive AI strategy document for its own sake
  • A cloud platform or software package to sell you
  • Layers of account managers between you and the work
  • Inflated promises of savings

THE FIRST STEP

Could AI solve one of
your expensive problems?

Book a free 30-minute AI Opportunity Conversation. Bring the problem, not a specification — we will work out together whether there is something worth testing.