Expertise
Artificial Intelligence: useful, never a gimmick
Generative AI has changed a real part of the delivery job, but not the part LinkedIn posts imagine. I deploy AI tools in agency and client workflows, with measurable productivity gains on production cycles, without ever sacrificing delivery quality.
My approach
- Mapping repetitive tasks before any tool choice: use case precedes technology
- Piloted deployment on a small team before rollout
- Clear governance: who validates what the machine produces, before it reaches the client
- Training teams in critical review, not blind trust
Tool for AI automation
AI Automation ROI Calculator
Before recommending an AI tool to a client, the first question is always the same: is it actually worth the setup cost? This calculator produces an honest figure based on the real parameters of the task concerned.
EU AI Act Compliance Checker
The EU AI Act has been progressively applying since August 2024. Provider, deployer, importer: your obligations depend on your role and your system's application domain. This 6-step questionnaire identifies your risk level and the applicable articles.
Resource
Agent Library
A directory of AI agents, skills and MCP servers useful for Claude and ChatGPT, filterable by use case (marketing, development, research...) and by tool type. Includes the tools I actually use to build this site.
Frequently asked questions
How do you identify tasks to automate with AI?
By first mapping repetitive, high-volume tasks with low human added value and a standardised format. The practical rule: if a task can be described as a procedure in fewer than ten steps, it is probably automatable. The deciding factor is 12-month ROI, not the novelty of the technology.
Is generative AI reliable for professional use?
With clear governance, yes. Errors occur when AI is given tasks without systematic human review. The framework I apply: AI produces, a human validates before anything reaches the client. This eliminates risks while capturing real productivity gains.
Which AI tools do you deploy in agencies?
It depends on the mapped use cases, but the most common: assisted writing and briefing tools (ChatGPT, Claude, Notion AI), reporting automation via Make or Zapier, and meeting summary tools. The goal is always to reduce time on low-value tasks, not to replace judgement.