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Make AI a decision, not a habit.

Habit is a licence that renews, a pilot that never ends, a rollout nobody has revisited. I write down what should stay, what should change, and what, if anything, you should start next.

Judgement built inside eBay, on which AI ideas received real investment and which did not.

AI activity is not the same as business value.

Licences in use, prompts submitted, staff trained: these are activity measures. None of them tell you whether AI has reduced cost, released capacity you could actually redeploy, shortened cycle time, improved quality or throughput, increased revenue, created customer value or enabled a useful capability the business did not have before.

The Copilot seats bought for everyone and opened by a third of them. The chatbot that never left its pilot. The automation partner whose retainer renews each quarter without anyone asking what it produced. Activity without a decision. The renewals, meanwhile, arrive on schedule.

An AI initiative can also be working exactly as intended and still leave value on the table: a useful tool limited to one team, time saved but never redeployed, or a proven capability that could improve an adjacent workflow.

Two kinds of decision

What you already have. What you could do next.

SignalFormation provides independent judgement on where AI is creating value, where it could create more and what deserves investment next.

What you already have

The Five Decisions.

Every existing initiative reaches one of five decisions.

Stop
It cannot reach a return worth the cost of chasing it. You take the saving now.
Improve
It is producing too little value, or could create materially more. Change the workflow, data, ownership or use, with a measure and checkpoint.
Consolidate
Several tools are doing overlapping work. One survives, the rest come off the bill.
Maintain
It is producing a return worth keeping. Continue, with a named owner, measure and checkpoint.
Expand
The evidence supports a larger commitment. You fund it with a measure attached.

Success is a keep, change or stop on each live initiative, plus a next step with a measure attached or a written no. It is not measured in licences activated or hours theoretically saved.

What you could do next

Identify. Test. Decide.

New AI investment starts with a business outcome, workflow or constraint, not a list of AI use cases. Establish the baseline, test the economics and invest only when the evidence justifies it.

01 Identify
Where would better performance materially change the business?
02 Test
What improvement is plausible, measurable and economically worthwhile?
03 Decide
Invest, defer or reject.

Every opportunity leaves with an evidence threshold and a written investment decision.

The offer

The Review

A written decision on every live initiative, and a view on what if anything to start next.

One picture
Every AI tool, project and cost in one view.
The work
The workflows that matter, examined with the people who run them.
The calls
Keep, change, or stop on each initiative, with the evidence behind it.
The plan
90 days, named owners, a findings session with the people who have to act.

If you want me to stay through the first action, or on the decisions that keep arriving, we scope that after The Review. Implementation is with your existing partner or a specialist.

Get an independent view on your next AI decision

The fit

Whether this is for you.

I would rather we established this in a 30-minute conversation than three weeks into the work.

You have meaningful AI investment already in place, or are considering enough new investment that getting the decision wrong matters.

This works when

  • You want evidence behind the next decision, whether that means stopping something, improving it, expanding it or funding something new.
  • The economic value at stake is large enough for a rigorous decision to matter.
  • You can authorise the work and act on the answer.
  • Most day-to-day work happens in software, and the business has roughly 30–250 people.

This is not for

  • Introductory AI education, open-ended use-case workshops or company-wide transformation programmes. New opportunities must start with a business outcome, workflow or constraint and be tested for economic value.
  • Anyone looking for an independent name on a decision that has in practice already been made.
Luke Strugnell O'Donnell smiling beside a deer
Me, with an unusually attentive stakeholder.

Luke Strugnell O'Donnell

At eBay I ran the short, sharp investigations that decide whether an AI idea deserves investment, how an existing initiative could create more value, and when the evidence says to stop. The work started with the business outcome, tested the claim against real use and ended with a decision someone could act on.

I arrived there as the first employee of KnownOrigin, a digital art marketplace acquired by eBay in 2022, and stayed until April 2026, integrating it into the wider business. Before that, I built software and brought products to market.

The mix is the point: technical enough to test whether an initiative is viable, commercial enough to judge whether it will improve the business. I investigate both sides of the question: what you already have and what could be worth doing next.

I do the work myself: the interviews, the workflow analysis, the recommendations and the conversation with your board or leadership team. You are not handed to an analyst. I sell no software and take no commission on any, so nobody is paying me to reach a particular conclusion.

Questions that usually come up.

Why not just decide this ourselves?

Some firms can, and if that is you, you do not need me. In practice, every initiative inside a business has someone who chose it, and sunk cost has a way of writing its own review. What I add is not intelligence your team lacks. It is distance: no history with any of the decisions, no tool I want to see survive, and the same standard of evidence applied to everything. It also changes the conversation outside the building. A vendor negotiating a renewal argues differently against an independent review than against an internal opinion.

Can you help us decide where to invest in AI next?

Yes. The same standard applies. I start with a business outcome, workflow or constraint rather than a catalogue of AI use cases. I establish the baseline, identify where better performance would matter, test whether the improvement is plausible and economically worthwhile, then recommend investing, deferring or rejecting the opportunity.

Why is there no day rate?

Because you are not buying my days, you are buying a decision and what follows from it. A day rate pays me for taking longer and pushes you to buy fewer days than the question deserves, so we would both be optimising the wrong thing. The fee is fixed before we start. If the work takes me longer than I planned, that is my problem, not your invoice.

How do you arrive at the fee?

From the value of the decision, not the hours behind it. In the first conversation we establish what the outcome is worth to the business: cost removed, capacity redeployed, speed, quality or throughput gained, revenue or customer value increased, useful capability created or a poor investment avoided. The fee is set as a fraction of that. If the value is not comfortably larger than the fee, I will say so and we will not proceed.

What if our existing AI is already working?

Working is the starting point, not the conclusion. The evidence may support maintaining it as it is, improving the value it creates, expanding it into another workflow or using what you have learned to test an adjacent opportunity. A successful initiative can still leave material value on the table.

What access do you need, and how is sensitive information handled?

Typically the relevant people, your current tool and project costs, selected usage data and screen-shared walkthroughs of the workflows in question. Access is limited to what the agreed scope requires, and confidentiality terms are settled before anything starts.

What makes the advice independent?

I receive no software commission, hold no reseller agreements and carry no licence quota. The only thing I am selling is the quality of the decision, which means the evidence can take me wherever it goes.

Who implements the recommendations?

Your existing partner or a specialist. I hold them to the agreed measure. I stay on the decision. I do not pick up a delivery quota.

What if the honest answer is that we wasted the money?

Then that is the answer you get, in writing, with the evidence behind it, and you stop paying for it from that month. Stopping is a legitimate outcome and often the fastest to pay back.

If the next AI decision is large enough to get wrong.

30 minutes is enough for me to tell you whether it is worth paying for. If it isn't, you will hear that.