Jean-Luc COSSI · Founder & Director, LeanTechPro · Paris · EN / FR

You already paid for the AI speed. Your delivery didn't get it.

I fix the delivery flow. I redesign the flow with the people who run it, and stay until the numbers hold. Engineering teams and service operations. 15+ years of measured turnarounds inside tech and operations across Europe, Africa and Asia. Direct engagements, subcontracting for consultancies, interim mandates.

30 minutes call LinkedIn X leantechpro.com

Two fronts, one method

Engineering teams

Your AI tools made coding faster. Delivery didn't move. Review queues, validation, handoffs and release absorbed the speed. The bottleneck moved from code to judgment, and judgment can't be hired; it has to be managed.

For CTOs and Heads of Data & AI whose teams have used AI tools for six months or more.

Delivery Workshop, half a dayYour delivery leadership, your data. You leave with the constraint named, the number to move, and the first countermeasure.
The workshop, on leantechpro.com

Service operations

You deployed the bots. Handle time and touches went down; cost, order-to-cash and time-to-resolution often didn't. The saving leaks into exception queues, handoffs nobody owns, rework from bot errors.

For Heads of GBS, CFOs and Customer Service Directors, on order-to-cash and customer support.

Post-AI operations diagnostic, three weeks, one processEnd-to-end measurement before and after AI: touches per order, exception rate, order-to-cash days, cost per resolved outcome. You get the number for the CFO and the redesign plan. Priced against the saving.
Ask for a diagnostic

Measured results

Engineering

−50% lead time
Deployment lead time · Digital & AI teams Services group. Lean coach embedded 2.5 years with engineering leadership. Cloud deployment lead time reduced by 50%.
−50% incidents · NPS +65
Production deployments · distributed platform team Manufacturing group. Performance turnaround of a team spread across four countries and three continents, in 5 months.
−91% defects
Banking software · 30+ developers European bank. 100% on-time deliveries within 3 months.
−67% downtime
IT operations · financial services Incident system redesigned; three managers coached weekly.

Operations

40% → 64%
Quotes won · order-to-cash redesign Industrial services group, multi-country Europe. Sales, contract management, invoicing, logistics and support rebuilt around the flow. Right-first-time quotes 59% → 91%, customer satisfaction 7.6 → 9.
−88% lost calls
Citizen support center · public sector Government agency. Productivity +50%, citizen satisfaction +23%.

How I work

Diagnostic before design

I sit with the teams and watch how the work actually flows. I find the friction everyone has normalized, and I size it.

Ownership to delivery

I stay until the number moves and holds, whether I run the roadmap or coach the people who do.

Change that outlasts me

I coach managers through the new way of running the work, so the result holds after I step out.

Visibility for the COMEX

Status, risk and value on one board. Decisions arrive with options, not just problems.

The AI gap

AI made the tasks faster. End-to-end delivery did not move, in code or in operations, because nobody redesigned the system around the new speed: 80% of people report productivity gains, 37% of companies see it in earnings. Closing that gap is my work. I know both sides of it, because I run my own operation on agentic AI daily.

My own company runs on agentic AI

  • A versioned library of standard work (writing, publishing, research and reporting), executed by AI, reviewed by me.
  • A document factory with built-in quality gates: configuration in, verified deliverable out, in minutes.
  • An operating manual, versioned and improved weekly: PDCA applied to the AI system itself.

Live demo on request.

Writing

Diagnoses, countermeasures and real cases on delivery after AI.