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AI Automation Development

AI automation is useful only when it removes real friction from daily operations. I build workflows that take repetitive work off your team, including lead qualification, support triage, content operations, internal copilots, and reporting pipelines connected to your existing tools. The focus is operational impact, not demo effects. We define success early, such as time saved, response time, and error reduction, then implement with guardrails so quality stays predictable. I work from Marseille with teams in France and internationally, often after failed pilots or scattered AI experiments. You get maintainable automations your team can run every day, not fragile one-off prototypes.

Discuss your project Request the free AI automation audit

What is included

  • Automation opportunity audit and prioritization
  • Workflow design with quality guardrails
  • LLM integrations and tool orchestration
  • Monitoring, fallback logic, and alerting
  • Team enablement and maintainability docs

Best fit when

  • Manual operations are blocking team velocity
  • Lead and support response times are too slow
  • You need AI workflows tied to business KPIs

Typical sprint flow

  1. 01 Process audit and KPI definition
  2. 02 Workflow architecture and integration plan
  3. 03 Implementation with quality controls
  4. 04 Rollout and iterative optimization

Proof and context

  • Automation projects linked to clear operating metrics
  • End-to-end implementation from idea to production
  • Integration experience across product and growth stacks
  • Pragmatic approach focused on measurable outcomes

Free AI automation opportunity audit

Identify where AI can remove manual work first, with clear impact and realistic implementation effort.

You get in 5 business days

  • Top 3 automation opportunities by ROI
  • Suggested workflow architecture
  • Execution plan with effort estimate

Get the prioritized audit

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AI automation FAQ

Do you build custom AI agents or only no-code flows?

Both. I can ship quickly with no-code or low-code where it fits, and add custom integrations when your process needs deeper control.

How do you avoid hallucinations and quality issues?

By design. I add prompt constraints, validation layers, fallback routes, and human review for high-risk steps.

Can we start with one workflow before scaling?

Yes. We usually launch one high-impact workflow first, measure results, then scale with a prioritized backlog.