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Zeynoc
de

Service

AI strategy & discovery

We help you decide where AI can make a difference in your business. Together we review the workflow and available data, test the most promising approach and outline the costs and next steps.

2 to 4 weeks
from first workshop to a clear go or no go
Fixed price
agreed in writing before we start
Your data
every result measured on your own samples

Where we can help

  • You know AI could help, but not where to start.
  • A vendor promised a lot and you want an honest second opinion.
  • You have data, but nobody has checked if it is good enough to train on.
  • Leadership wants a number before approving the budget.

What you get

  • Use case map

    A ranked list of opportunities, scored by value, effort and risk.

  • Data readiness check

    What you have, what is missing, and what it costs to fix.

  • Proof of concept

    A working prototype on your own data, with measured accuracy.

  • Build plan

    Architecture, timeline, running costs and the team you need.

How we run it

From assessment to delivery.

  1. Half a day

    Kick off workshop

    We meet the people who do the work, map the process and list every place AI could help.

  2. Week 1

    Score the ideas

    Each idea gets a score for value, effort, data and risk. Most lists shrink to two or three strong candidates.

  3. Week 1 to 2

    Check the data

    We look at real samples. Is there enough? Is it labelled? What would it cost to fix?

  4. Week 2 to 4

    Prove the top idea

    A small working prototype on your data, with measured results you can show to your board.

Where to start

Discovery sprint

2 to 4 weeks, fixed price

The fastest way to find out if an AI idea is worth building, before any large budget is spent.

  • Use case map with scores
  • Data readiness report
  • Working proof of concept
  • Build plan with costs

When we would advise against it.

If one of these applies, we will tell you in the first call.

  • You already know the use case and have the data. Start with a build.
  • The decision is made and you only need slides to support it.
  • Nobody on your side owns the process we would be changing.

Typical projects

Common applications.

  • Feasibility study before a funding round
  • Build or buy review of AI vendors
  • EU AI Act risk classification of a planned system
  • Cost estimate for running models in production

Tools we use

Tools that fit your project.

We choose tools around your existing systems, data requirements and operating costs.

Workshops · Data audits · Rapid prototyping · Evaluation design

Questions about this service.

What if the answer is that AI will not help?

Then we tell you, with the reasons. A clear no after three weeks is far cheaper than a failed project after six months.

Do we need a data team first?

No. We work with whatever data you have today and tell you exactly what is missing.

Can the proof of concept become the product?

Often parts of it can. We write it cleanly so the useful pieces carry over into the build.

What would you like to build?

Tell us where your project stands. If AI is not worth it for you, we will say so.

hello@zeynoc.com