Meeting-room requirements.
What gets built is what was said in a room, not what happens in the operation.
AI by product phase · Discovery
The expensive mistake is made before any code.
Half of all projects fail because they solve the wrong problem. We start by measuring what the problem costs today and deciding whether software is the answer. Sometimes it is not, and we say so.
Building the wrong thing.
Open-ended scope.
With no clear limit, the project grows until the budget runs out.
No cost for the problem.
If you do not know what it costs today, you cannot know whether the solution pays.
Four concrete deliveries.
Two or three weeks. You come out with the decision made, the scope fixed and a budget — even if the decision is not to do it.
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01
Map of the real process
How it works today, where it breaks and who holds it up. Observed, not assumed.
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02
Cost of the problem
Hours, errors and lost opportunities, in euros. The basis for deciding.
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03
Scope and architecture
What is in, what is out and how it gets built. With a fixed price.
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04
An honest decision
If a process change or an existing tool solves it, that is the recommendation.
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Scope document
Functionality, limits, risks and acceptance criteria.
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Fixed estimate
Price and timeline per phase, no open-ended hours.
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Priority with return
What gets built first and why that before the rest.
What it is built with.
Before you call us, read this.
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First Optimizer, Second AI: why the real brake on AI is not the tool
The industry has fallen in love with "AI-first". But the real bottleneck in adoption was never technological: it is the absence of a way of thinking about processes. A reflection on the discipline that should come before touching AI.
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How to prioritise AI integration in your company: a quantitative model
Where do you start implementing AI? Most people answer with a hunch. But deciding where AI goes is a quantifiable problem: it has variables, formulas and a rankable result. This article is that model, with a case worked through step by step.
- Design Architecture, flows and data model before the code.
- Build Code with tests, reviewed and signed off by an engineer.
- The AI inside Agents and models integrated where they multiply.
- Validation Security, performance and accessibility before shipping.
- Operation and scale Live, measured and with the internal team in charge.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
Let's start
Let's talk about your operation.
Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.
contacto@plantekia.com