We turned 100 employees into builders shipping AI workflows to production. I'm incredibly proud of what we've built with Activepieces.
Jérémie PreaultInternal Tools & Automation Lead @ Alan
This is the story of how Europe's leading digital health company built an automation culture from the ground up — and how one person's vision turned non-technical teams into AI heroes shipping real workflows to production.
When Jérémie Preault joined Alan, he saw an opportunity that most companies miss: the chance to democratize automation not just for engineers, but for everyone. Marketing. Sales. Customer Success. Operations. His mission? Give every single Alaner the power to build their own AI agents.
The result is nothing short of remarkable — a company where 14% of employees actively run production workflows they built themselves, where non-technical teams solve problems that used to require engineering, and where innovation happens at every level of the organization.
The Company
Alan is building the first integrated healthcare system in Europe. Valued at $4.5 billion, they serve nearly 1 million members across France, Belgium, Spain, and Canada — with a mission to help people live healthy to 100.
What sets Alan apart isn't just their scale — it's their philosophy. With a "written-first" culture where every decision is documented, radical transparency, and a mandate that 100% of employees use AI weekly, Alan represents the future of how companies operate.
But having an AI-friendly culture is one thing. Turning that into operational excellence at scale? That required the right platform.
The Challenge
Alan's north star is sustainable productivity — growth that outpaces costs. With €700M+ in annual revenue, 700 employees, and expansion across four countries, they needed to solve a fundamental problem:
How do you empower hundreds of non-technical employees to build AI-powered solutions — without compromising security, compliance, or control?
- 01European data sovereignty — Healthcare regulations meant US-hosted platforms were off the table
- 02Enterprise governance — Every automation touching sensitive data needed proper approval workflows
- 03Open architecture — The ability to build custom integrations and maintain code access
- 04True democratization — Not just technical teams, but marketing, sales, customer success, and operations
- 05Predictable economics — No per-execution fees that would punish success
The Solution
Alan chose Activepieces as their enterprise automation platform, self-hosting it to maintain complete control while leveraging its full capabilities.
Jérémie didn't just implement a tool — he built a movement. Starting with a small pilot, he methodically expanded adoption across teams, personally coaching colleagues, building custom integrations, and proving value at every step. His approach turned skeptics into believers and believers into builders.
Why Activepieces Won
| Requirement | How Activepieces Delivered |
|---|---|
| European Data Hosting | Self-hosted deployment with complete data sovereignty |
| Enterprise Governance | Granular permissions, audit trails, staging-to-production workflows |
| Open Architecture | Full code access, custom piece development, active contribution to the platform |
| Democratization | Visual builder accessible to non-technical teams, AI-assisted flow creation |
| Predictable Pricing | No execution fees — run millions of tasks at the same cost |
What They Built
AI-Powered Sales Intelligence
The problem: Key account managers spent hours preparing for client meetings — pulling data from multiple systems, updating slides, double-checking numbers.
The solution: An Activepieces workflow that automatically pulls the latest account data, KPIs, and charts from connected systems. Within minutes, sales decks are populated with accurate, real-time information.
The impact: Sales teams shifted from data gathering to what actually matters — strategic analysis and building relationships. The sales team called it "going from nightmare to dream."
Brand Asset Generation at Scale
The problem: Alan's beloved mascot needed constant customization for campaigns, sales materials, and internal communications. Every request meant waiting for design bandwidth.
The solution: An AI-powered workflow where anyone can describe what they need in plain language. The system enhances the prompt to match brand guidelines, generates the image, and delivers it directly via Slack.
The impact: Creativity unlocked across the entire organization. The design team focuses on high-impact projects. Every Alaner became a creative contributor.
Measuring What Matters
The problem: With 120+ sales reps across three countries, how do you know if they're actually adopting your new sales methodology? Manual review was impossible.
The solution: An AI-powered workflow analyzes meeting transcripts, scoring each call on methodology adoption and presentation quality. Results are categorized and tracked over time.
The impact: Product marketing now delivers actionable insights at scale — identifying which regions need coaching, which reps are excelling, and how adoption trends over time.
Feature Adoption Without Data Engineering
The problem: Alan launched a new health engagement feature and needed Customer Success managers to drive adoption. But accessible data didn't exist, and no data engineer was available.
The solution: Guillaume — not an engineer — built an automated workflow using AI to analyze adoption data. Twice weekly, each CSM receives a personalized report showing their portfolio's performance compared to peers.
The impact: Alan hit their adoption targets. A non-technical team member built the solution in days, not weeks. No engineering backlog. No waiting.
"That's what automation combined with AI enables — someone without a technical background can solve problems that used to require engineering resources."
Jérémie Preault
The Results
- Non-technical teams now solve problems that used to require engineering
- Customer-facing teams focus on relationships instead of data gathering
- Every department — from design to sales to operations — runs on automated workflows
- Co-founder & CTO Charles Gorintin personally champions AI-first development
- These workflows now help serve nearly 1 million members across Europe
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