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An AI pilot that ends in a clear decision

Run an AI proof of concept by agreeing the success criteria, the test cases, the budget and the time box before anything is built, then testing on your own work. It ends with a written decision to proceed, revise or stop, and the evidence behind it.

Free first conversation · A person replies within one business day · You own the code and accounts

  • A phase of work
  • A point where you decide to stop or go on
See the routes →

01 Outcomes

What changes for you

  • A yes or no you can defend

    The pilot is judged against criteria your team signed off at the start, so the result is a decision with evidence, not a demo that impressed the room.

  • Spend with a ceiling

    A fixed time box and budget cap the risk. If the idea fails early, the pilot stops early, and you keep what was learned about your data and process.

  • A path to production, if it works

    When the answer is yes, you already know the controls, the integration work and the running cost the next stage needs, written down in plain terms.

Your route

Pick where your pilot starts

The route depends on what you already have. Choose your starting point to see the phases, where each stop or go decision falls, and what you hold at every step.

Where are you starting from?

Starting from We have one AI idea and want to test it

  1. Frame the question

    We agree what success looks like, which real cases the test will use, the budget and the end date, and write them down before any build starts.

  2. Check the data

    We look at the data the idea depends on, who can approve access and whether it is good enough. If it is not, fixing the data comes first.

    Stop or go decision

  3. Build the smallest test

    A working slice that runs on your real cases, with the prompts, retrieval or model choices kept simple enough to change quickly.

  4. Measure and decide

    We run the agreed cases, including the awkward ones, and compare the results with the criteria. What happens next is your call, with the evidence in front of you.

    Stop or go decision

Starting from We have several ideas and cannot choose

  1. List and rank the ideas

    We weigh each idea by value to the business, the data it needs and the risk if it is wrong, so the first test goes to the strongest candidate.

  2. Rule out the weak ones

    Ideas that need data you do not have, or that ordinary software would handle better, leave the list here, with the reason recorded.

    Stop or go decision

  3. Frame one pilot

    The chosen idea gets its success criteria, representative cases, budget and time box, agreed with the people who will use it.

  4. Test and decide

    We build the test, run it against the criteria and recommend a next step. The other ideas wait in a ranked backlog.

    Stop or go decision

Starting from A demo works, but nobody trusts it yet

  1. Review what exists

    We read how the demo was built, what it was shown on and what it was never asked to handle, such as sensitive data or unusual inputs.

  2. Set the missing criteria

    Most demos never had a bar to clear. We agree one with the business owner, including the failures that would rule it out.

  3. Test the hard cases

    We run representative and adversarial cases, check its answers against sources and note where it breaks and how often it matters.

    Stop or go decision

  4. Harden, revise or stop

    You get a written view of what it would take to rely on it, or a plain recommendation to stop before more budget goes in.

    Stop or go decision

Talk this through with us →

02 How it starts

How it starts

  1. A first conversation about the idea

    You describe the idea, the process it would change and who would use it. We ask what data exists and what a wrong answer would cost.

  2. A one-page pilot plan

    We write down the success criteria, the test cases, the time box and the budget, so everyone signs off on the same bar before work starts.

  3. The first checkpoint

    Early in the pilot we check the data and the first results with you. If the idea cannot meet the bar, we say so then, not at the end.

The usual engagement model: Proof of concept or pilot

03 Start

Test the AI idea before you fund it

Book a first conversation. Together we can work out whether a pilot is the right next step, what it should prove and whether simpler software would do the job.

What happens next

  1. You pick a time, or send us a message.
  2. A person at Nexstella reads what you shared before we talk.
  3. You leave with a clear next step, even when that step is to wait.

Or write to [email protected]. Send a brief instead

Meet

Pick a time for a 30-minute conversation

What is your work email? The calendar invite and the video link go there.

The invite goes to the calendar you work from. Personal address? Use the Contact tab . If you stop before picking a time, we send one reminder to this address, and nothing else.

30 minutes, video call · Times show in your time zone

What happens next

  1. You pick a time, or send us a message.
  2. A person at Nexstella reads what you shared before we talk.
  3. You leave with a clear next step, even when that step is to wait.

Contact

Send us a message

Pick the topic that fits and tell us what you are working on. A person replies within one business day.

A person replies from a real address.

Phone (optional)

Choose the country code, then type the number without it.

The topic leads the subject line, so the right person picks it up first.

A few sentences is plenty. You do not need to know which technology you need.

We use what you send to reply and, if it leads somewhere, to scope the work. Read the privacy notice, or write to [email protected].

Want the full picture? Read AI for your business.

Also written for you: Enterprise AI to production , AI features for SaaS .

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