The Forest We're Planting
- manifesto
- permaculture
- AI
- orchestration
In-depth articles — quantification, methodology, AI risks. Sourced and dated.
The Perello Consulting blog documents the AI transformation of French SMBs and mid-sized companies between 2025 and 2027. Every article draws on verifiable institutional sources — INSEE, OECD, France Num, Cour des Comptes — cross-referenced with field observations from our advisory practice with executives and managers.
You will find quantified analyses of automation gains measured in hours and euros, breakdowns of the EU AI Act 2026 obligations for businesses, and anonymised case studies illustrating how companies with 10 to 250 employees have deployed multi-agent workflows without building a dedicated technical team.
Articles are listed in reverse chronological order, written in a formal register, and freely accessible without a subscription. No content is gated behind a paid list: transparency is our only credibility lever.
Five classes structure AI automation. A seven-question decision tree, a costed comparison table, four observed anti-patterns, and a case applied to a 25-person SME.
Seven steps to isolate, in an SME, the first process whose cost is measurable, whose data is clean, whose gain is provable and whose risk is contained. Case applied to a fifteen-person SME.
A French SME with fifteen employees loses between EUR 5,500 and EUR 7,300 per month on automatable tasks. The public formula, the costed table, and the sources to run the numbers yourself.
Seven AI projects out of ten miss their promised ROI. The primary cause is not technical: it is excess complexity at scoping. Five root causes, four KISS principles, three dated composite cases, a seven-point decision tree.
Six operational risks of poorly deployed AI in an SME, a composite case costed at EUR 145,000 and a ten-point governance framework achievable without a CTO.
A 30-minute exchange is enough to identify what you can automate — and quantify what it is worth to your organisation.