Expertise prioritaire
AI Automation and Workflows
We implement AI agents in your business that take over entire tasks, from qualification to reporting, under your control and on workflows you own.

Why this is blocking your growth
Your teams lose hours copying data between CRM, email, invoicing and reporting.
Coût de l'inaction : Whole team days lost to manual entry, costly transcription errors, and growth held back because scaling still means hiring.
You have this problem if…
- Copy and paste between CRM, email and spreadsheets
- Eight tools that do not talk to each other
- AI used with no framework and no measurable return
The system we build
Proprietary workflows that finally make your tools talk: process mapping ranked by impact and effort, documented n8n or Make automations with error handling and logs, CRM and ERP integrations through two-way webhooks, generative AI kept in a frame with versioned prompts, guardrails and controlled costs, and monitoring that alerts you before your team notices.
Possible stack: n8n · Make · OpenAI API · HubSpot · Airtable · Slack
Indicative timeline: Workflow MVP in 2 to 4 weeks, industrialization in 6 to 10 weeks
Expected result
Hours freed every week, fewer errors, and processes that repeat without hiring.
For whom: Growing mid-market companies · Operations and marketing teams · Multi-site service businesses
Cas d'usage : Automated client onboarding · Weekly reporting · AI lead qualification
Who this is not for
- Your processes are written down nowhere, and will stay that way.
- You want AI, and the use case will come later.
- Every team keeps its own tool, and that is settled.
What you will not have to do
- Retyping data from one tool into another.
- Depending on the person who built the spreadsheet.
- Paying for one more subscription with every new need.
What you get

- 1
Process mapping with a prioritized impact and effort matrix
- 2
Implemented and supervised AI agents (Hermes Agent, Claude, local models) that delegate entire tasks
- 3
Documented n8n or Make workflows with error handling and logs
- 4
CRM, ERP and API integrations with two-way webhooks
- 5
Framed generative AI with versioned prompts, guardrails and controlled costs
Questions avant achat
Straight answers before you start AI Automation and Workflows.
n8n or Make?
n8n for complexity and self-hosting, Make for no-code speed. We choose based on your stack.
Does AI replace people?
No. It speeds up sorting, assisted writing and routing. A human validates anything critical.
What about maintenance?
Available as an option: monitoring, changes and flow documentation.
Does your site actually attract the right clients?
8 pillars analysed in ~30 min: UX friction, tracking, acquisition opportunities and high-impact priorities. Free, no commitment.


