Technical analysis
Your tools, their access and how they talk to each other. We check what integrates without replacing everything, and what really blocks.
Method
Before automating anything, we look at how your team really works. You leave with a costed roadmap you can defend in front of your management, whether you deliver it with us or not.
Each analysis answers a different question. Together they show what pays back most for the effort involved.
Your tools, their access and how they talk to each other. We check what integrates without replacing everything, and what really blocks.
Your processes, the time they take and what they cost. We spot the repetitive tasks where automation, with or without AI, saves the most.
What your customers search for and how Google and AI engines see you. We measure the gap between what you sell and what people find about you.
Four steps, each with a deliverable. You can stop after any of them.
Week 1
Interviews with the people who do the work, not only with management. We map the workflows as they run today.
Weeks 1 to 2
The three analyses end in an impact and feasibility matrix: each project has a cost, an expected gain and its risks written down plainly.
End of scoping
We decide the order of the projects together. The costed roadmap is yours, with a clear recommendation to go or not.
During and after
Delivery in short steps, then follow-ups at 30 and 90 days to check that the promised gains are really there.
Every offer has a closed scope and a published price. Scoping serves to cost what comes next, not to open a time-and-materials contract.
Many automations need no AI. When it helps, we combine several models to keep running costs low.
We start from what you have. Access, data and documentation stay with you at the end of the engagement.
20-minute diagnostic
We look at your situation, identify what can be automated or improved, and tell you plainly whether we can help.
No endless form: a few fields are enough.