AI Pilot

Evidence, from your own data, of whether it works.

  • How long3 to 6 weeks
  • How we workFixed package

What you receive

?

In a few weeks you find out, from your own data, whether an AI idea really works and what it would cost, before you commit to it.

  1. thinkUnderstand the problem

    What would "it works" look like?

    You receiveSuccess measures agreed first

    The pilot is judged on facts, not on how impressive a demo looks.

    What it is. Clear targets agreed before we start, such as accuracy, time saved and cost per task.

    Why it matters. The pilot is judged on facts, not on how impressive a demo looks.

  2. planPlan what to build

    What will it learn from?

    You receiveA sample of your data, prepared

    Results on your data are the only ones that count.

    What it is. A representative sample of your real data, cleaned and made safe to use.

    Why it matters. Results on your data are the only ones that count.

  3. buildEngineer it

    Can it do the job?

    You receiveA working pilot

    You see it working, or not, in your own world.

    What it is. A working version of the AI idea, used on real tasks in a safe setting.

    Why it matters. You see it working, or not, in your own world.

  4. testProve it works

    How do we know it is right?

    You receiveA test set of real examples

    Accuracy is measured, not guessed.

    What it is. A set of real cases with known answers, used to check every result.

    Why it matters. Accuracy is measured, not guessed.

  5. testProve it works

    Is it good enough, and what will it cost?

    You receiveAn accuracy and cost report

    You see the trade-off between quality and cost in plain numbers.

    What it is. A report of how often it was right and what it would cost to run at your volume.

    Why it matters. You see the trade-off between quality and cost in plain numbers.

  6. planPlan what to build

    Should we go ahead?

    You receiveA go or no-go recommendation

    A clear answer saves you from spending on an idea that will not pay back.

    What it is. Our honest recommendation: go, change, or stop, with the reasons.

    Why it matters. A clear answer saves you from spending on an idea that will not pay back.

01thinkUnderstand the problem

What would "it works" look like?

Success measures agreed first

What it is

Clear targets agreed before we start, such as accuracy, time saved and cost per task.

Why it matters to you

The pilot is judged on facts, not on how impressive a demo looks.

02planPlan what to build

What will it learn from?

A sample of your data, prepared

What it is

A representative sample of your real data, cleaned and made safe to use.

Why it matters to you

Results on your data are the only ones that count.

03buildEngineer it

Can it do the job?

A working pilot

What it is

A working version of the AI idea, used on real tasks in a safe setting.

Why it matters to you

You see it working, or not, in your own world.

04testProve it works

How do we know it is right?

A test set of real examples

What it is

A set of real cases with known answers, used to check every result.

Why it matters to you

Accuracy is measured, not guessed.

05testProve it works

Is it good enough, and what will it cost?

An accuracy and cost report

What it is

A report of how often it was right and what it would cost to run at your volume.

Why it matters to you

You see the trade-off between quality and cost in plain numbers.

06planPlan what to build

Should we go ahead?

A go or no-go recommendation

What it is

Our honest recommendation: go, change, or stop, with the reasons.

Why it matters to you

A clear answer saves you from spending on an idea that will not pay back.

From brief to done

  1. 1

    Week 1

    Agree and prepare

    Success measures agreed and the data sample prepared.

  2. 2

    Weeks 2 to 4

    Build and test

    The pilot engineered and run against the test set.

  3. 3

    Final week

    Decide

    The accuracy and cost report, and our recommendation.

Where would AI actually help us?

AI opportunity map. The three places in your business where AI would save the most time, what each would need, and the risks to watch.

  1. A 45-minute call about how your team works today
  2. A two-page report: three opportunities, what each needs, the risks, and a rough size of effort
  • It is free. There is nothing to pay and nothing to sign.
  • The report is yours to keep and share, whatever you decide.
  • No sales call unless you ask for one.

Get it free

Your time: 45 minutes of your time

Only your email is needed. The rest helps us start sooner; anything you skip, we will ask by email.

A few examples are plenty.

No sales call. One follow-up email at most. Privacy · Other free first looks

Questions people ask

How much does it cost?

We send a written quote after your request: what it covers and what it does not. The tier, scope and timing set the price.

Could I just use AI for this?

Who owns the work?

You do. Code, designs, files and documents are yours, and the quote says so in writing.

Can we change the scope?

Yes. If something needs adding or removing, we agree it in writing before we do it.

What happens after?

Most people go on to Workflow Automation, but there is no obligation. You keep everything we made.

Hire us for AI Pilot

Know what you need

Five short questions. We reply with questions or a written quote.

Hire us
or

Not ready to commit

A small piece of real work, written up and yours to keep.

Get a free first look

Questions first? Email [email protected]