AI applied to processes
The point is not to use more AI. It is to remove friction from work.
I start from manual work, disconnected data, repetitive checks and slow decisions. Then I choose the right technology: automation, AI agents, n8n, Computer Vision or custom software.
Areas
Five different ways to solve the same problem: work that does not scale.
I do not sell one technology by default. Every area starts from an operational problem and a measurable outcome.
Method
Process first. Model second.
Mapping
I identify where time, data and ownership are being lost.
Priority
We assess impact, risk, available data and implementation cost.
Prototype
We build the smallest path that proves whether the solution actually works.
Production
I integrate the solution into existing systems with metrics, control and maintainability.
First step
You do not need to arrive with a solution. Arrive with the problem.
Describe the process that currently costs you the most time. From there we can decide whether it needs AI, automation, Computer Vision or simply better software.
Tell me about the project