Scaling breaks when execution isn't designed as a system.
I build secure, production-grade growth and execution systems that scale reliably. Designed to give teams leverage — not add complexity.
One job: make execution reliable at scale
Scaling breaks when execution relies on fragile processes. Decisions take weeks. Manual processes don't scale. Critical workflows rely on spreadsheets and goodwill.
I build systems that replace manual tasks with reliable autonomous execution.
Growth systems
From manual chaos to complete instrumentation
PROBLEM
You don't know what works. Growth decisions rely on gut feelings. Acquisition is a patchwork of untracked channels. Funnels leak, but nobody knows where.
SYSTEM
Complete event instrumentation, funnels, attribution. Operational dashboards. Data-driven prioritization. Structured experimentation. Measurable acquisition channels (SEO, SEA, outbound).
OUTCOME
You drive growth with reliable metrics, not feelings. Decisions take hours, not weeks.
STACK
EVIDENCE
0→5,000 MAU in 24 months with complete instrumentation
50k+ users tracked with multi-touch attribution
80% onboarding completion after systematic optimization
×5 signups via continuous experimentation
Autonomous AI agents
From fragile workflows to augmented execution
PROBLEM
Your critical workflows are fragile: lead qualification, data enrichment, reporting, bid management. It takes time, it breaks, it doesn't scale.
SYSTEM
Autonomous AI agents deployed in production with guardrails, monitoring, logging, secure sandboxing. Multi-agent orchestration for complex workflows. Stack: Dust.tt (primary), n8n, Claude Code for specific needs.
OUTCOME
Revenue-critical tasks run 24/7, reliably, securely, with minimal supervision. You scale execution, not complexity.
STACK
EVIDENCE
~30 agents + orchestrator in production (bid management, 24/7)
'Logistic Anomaly Detection' agent used by end customers (production)
POC→Production in 4-6 weeks with complete guardrails
Critical workflows automated with real-time monitoring
AI agents are not an add-on. They are the secure execution layer of modern growth systems. They give teams leverage, not tech debt.
Systems in production
Not slides. Systems that run, with real users and business-critical decisions.
CONTEXT
Maritime SaaS (Safecube.ai), complete tracking + instrumented funnels
SYSTEM
Event instrumentation, multi-touch attribution, real-time dashboards, continuous experimentation
RESULT
0→5,000 MAU in 24 months. ~800 signups/month → ~300 paying customers. Growth decisions driven by data, not intuition.
CONTEXT
B2B SaaS scale-up, acquisition and activation
SYSTEM
Funnel optimization, tracked channels (SEO/SEA/outbound), systematic A/B experimentation
RESULT
50k+ users in <6 months. 80% onboarding completion (vs 45% before). ×5 signups via measured iterations.
CONTEXT
AI agent in production for end customers (logistics)
SYSTEM
'Logistic Anomaly Detection' agent via GPT API, guardrails, monitoring, decision logging
RESULT
In production, used daily by end customers to detect supply chain anomalies. Not a POC.
CONTEXT
Multi-agent orchestration for bid management
SYSTEM
~30 Dust agents + central orchestrator, 24/7 automated workflows, real-time monitoring
RESULT
Bid decisions automated with minimal supervision. Running for months.
Systems lifecycle
No workshops. No strategy decks. No endless audits. Execution that sticks.
Diagnose bottlenecks
I identify where execution breaks and why. Analysis of workflows, missing data, manual processes. Prioritization of critical friction points.
OUTPUT
Clear list of systems to build, by business impact.
Design the system
Architecture of instrumentation (events, funnels, dashboards) and/or AI agents (workflows, guardrails, monitoring). No over-engineering. The minimum viable to run reliably.
OUTPUT
Technical spec + implementation plan.
Deploy to production
Implementation with guardrails, monitoring, alerts. Testing in real conditions. Adjustments until it runs autonomously. Team training on supervision.
OUTPUT
System in production, documented, monitored.
Iterate on what runs
Metrics tracking. Continuous optimization. Scale workflows that prove their value. Abandon what doesn't work. Fast decisions based on data, not opinions.
OUTPUT
Continuous improvement, prioritized backlog, ownership transferred.
This is for you if...
You're a post-PMF B2B SaaS (Seed → Series B)
Your growth or ops break under load
You want reliable, secure systems, not more tools
You have a real problem to solve, not a need for slides
You're looking for prompts or a chatbot
You want strategy without execution
You don't have an identified scaling problem
You want AI hype, not systems that run
Operator, not consultant
I've spent 5+ years building and running growth systems in production. Head of Growth at Sinay.ai (maritime SaaS), managed 2 teams (8 people), scaled from 0 to 5K MAU. Before: Crédit Agricole, e-commerce, freelance. I don't make slides. I build systems that last: complete instrumentation, AI agents in production, automated workflows running for months. Bias for fast execution, data-driven decisions, and pragmatic solutions. I deploy AI agents securely, with guardrails, monitoring, and supervision. If it doesn't run reliably in production, it doesn't exist.
Contact
Caen, France
Availability depends on scope — write to me