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AI strategy and decision support

Did somebody
mention
flying pigs?

Artificial Intelligence is arguably one of humanity’s greatest achievements, but it doesn’t come without its problems. Unrealistic expectations coupled to over sold solutions witnesses many projects being cancelled both before, and after, they’ve started.

However, it needn’t be that way.

Read more

Confidential AI advice for executives and boards

AI: Can you
explain
it to a
rubber duck?

Artificial Intelligence is arguably one of humanity’s greatest achievements, but it doesn’t come without its problems. Unrealistic expectations coupled to over sold solutions witnesses many projects being cancelled both before, and after, they’ve started.

However, it needn’t be that way.

Read more

Confidential AI advice for executives and boards

Are you
gambling on
flying pigs?

Artificial Intelligence is arguably one of humanity’s greatest achievements, but it doesn’t come without its problems. Unrealistic expectations coupled to over sold solutions witnesses many projects being cancelled both before, and after, they’ve started.

However, it needn’t be that way.

Read more

Unpuzzled advises chief executives, boards and senior teams on AI: whether to adopt it, how to deploy it, and what to do if a deployment runs into trouble. We’ve seen what goes right and what goes wrong, and we’ll tell you which one you’re looking at.

You don’t need to know how the model works. You need to know whether you can rely on it, what it costs if you can’t, and what to do next.

Who we advise

Chief executives · Chairs and boards · Finance, operations and technology leaders · General counsel. In every kind of business.

Where we help

Wherever you are with AI.

Stage 1 · Considering it

Before you commit.

The questions on your desk

  • Which of these proposals would work here, and which only work in a demo?
  • What will it cost to try, and what will it cost to stop?
  • Who in the business will own the result?

What we do

We test the proposals in front of you against what we’ve seen succeed and fail elsewhere, and tell you which are worth taking forward.

Stage 2 · Buying or building

Before you sign.

The questions on your desk

  • What happens when the supplier’s model changes, or is withdrawn?
  • Which parts does the supplier control, and which do we?
  • How will we know it’s working before we’ve paid for all of it?

What we do

We read the proposal and the contract from the technical side, and show you what the supplier can and can’t promise.

Stage 3 · Running it

Now that it’s live.

The questions on your desk

  • Is it doing what we bought it to do?
  • Who checks the output wherever we rely on it?
  • What are staff using that nobody approved?

What we do

We review the deployment as it runs today against what it was meant to deliver, and tell you what to measure from here.

Stage 4 · Something’s wrong

When it goes wrong.

The questions on your desk

  • Do we pause it, fix it, or switch it off?
  • What do we tell the board, our customers or the regulator?
  • Where does responsibility sit: with us, the integrator or the model’s supplier?

What we do

We find out what happened and why, quickly and quietly, and give you options you can defend.

From experience

What we hear, and what we’ve seen.

Trouble often starts with an assumption nobody checked. These four come up again and again.

We hear

“The pilot went well.”

We’ve seen

Pilots run on cases someone chose. Production brings the ones nobody chose.

We hear

“It gives the same answer every time.”

We’ve seen

These systems can give multiple answers to the same question. That’s harmless in a draft, and serious anywhere the output is relied on.

We hear

“Our supplier has it covered.”

We’ve seen

Your supplier usually builds on a model from someone else, who can change it, reprice it or retire it on their own timetable.

We hear

“We’ll measure the return once it’s running.”

We’ve seen

Without a baseline taken before go-live, there’s nothing to measure it against.

And when it works

What goes right has a pattern too.

The deployments that pay their way tend to share the same few things.

  • A narrow job, with output someone can check.
  • An owner on your side, not the supplier’s.
  • A baseline measured before go-live.
  • A plan for when the model changes or disappears.
  • People reviewing the output wherever it’s relied on.

How it works

Quiet, quick and in plain English.

Four steps, at whatever pace the situation needs.

  1. A private conversation

    Call or write, and tell us what’s on your mind. No preparation, no obligation, and nothing goes further.

  2. A clear read of the situation

    We look at what’s in front of you: the proposals, contracts, systems and people involved.

  3. Advice you can act on

    Written for the board, in plain English: what’s happening, what it means, and your options.

  4. Support while you act on it

    If you want us there while decisions are made and put into practice, we stay on call.

Confidentiality

Confidential from the first call.

Executives come to us with questions they can’t yet raise inside the business. What you tell us goes no further.

  • Conversations are private from the first call.
  • We’ll sign your non-disclosure agreement before you share any detail.
  • We never name clients, on this site or anywhere else.
  • Our advice goes to the people you choose, and no one else.

Practices

Sectors we know well.

AI advice is only as useful as its grasp of the business it’s applied to.

  1. Asset finance

    Retail

    Origination, pricing and collections, where automated decisions reach customers directly.

  2. Credit scoring

    Models that decide who gets credit, and the explanations regulators expect for them.

  3. Debt capital markets

    Global book building, structured products, munis and more

    Pricing, documentation and surveillance across complex, data-heavy instruments.

  4. Film and television

    Post Production & Visual Effects

    Production pipelines, rights, and the use of generative tools on screen.

  5. Visualisation

    Including real-time data

    Presenting complex information so it can be grasped at a glance, from data analysis to live dashboards a board can act on.

  6. AI and machine learning

    Including RAG retrieval and message routing

    Avoiding the non-deterministic triple lock, making RAG retrieval meaningful, and routing each message to the model that should answer it.

  7. Web tech

    The web is moving

    Most of all, the web is moving: search is turning into answers, and more of your visitors are AI agents. We help you build for the web that’s coming, not the one that’s going.

About

We are a team of seasoned engineers, business leaders, and successful entrepreneurs. We’ve built pioneering global systems across multiple industries.

Our tech can be your tech

  • Cloud prototyping engineTurns an AI proposal into a working prototype quickly, tested on your own data before you commit.
  • High-speed immutable queuing systemsEvery request and answer recorded in order, at speed, and never altered, so there’s always a true record of what a system did.
  • Shifting-window data analysisTracks a system’s output over a moving window of time, so drift and changes in behaviour show up early.

If you’re struggling with AI, either in practice or preparation, we offer best practice, healthy scepticism, and a route out of trouble, if needed.

Send us your NDA, and let’s get going.

Contact

Talk to us in confidence.

Tell us a little about where you are with AI. Keep it general if you’d rather. We can go into detail once we’ve spoken.

01Where are you with AI?
02About you
03What’s on your mind

No names or details needed at this stage.

How should we get in touch?

We use these details only to reply to you.