AI adoption consulting · Enterprise & mid-market

Your AI programs deserve more than a pilot.

We structure AI adoption, from governance to deployment, to deliver measurable value in production.

Book a 30-minute diagnosticSee our method
Antoine Billotte

Engagements led directly by Antoine Billotte · 20+ years of enterprise transformation · FR / EN

Background: Mars / Royal Canin · Sony · Mastercard · Cegid

≈ 4.4%

of commercial M365 licenses have a paid Copilot seat

Source: Microsoft FY26 Q3, April 2026

50%

of generative AI pilots abandoned after proof of concept

Source: Gartner, January 2026

26 min/day

of reported time savings, trial across 20,000 civil servants

Source: UK Government Digital Service, 2025

The challenge

What blocks programs after the pilot.

Four blockers prevent scaling.

  1. 01

    Programs stuck at pilot stage

    Proof of concepts multiply, but the transition to scaled production usage never happens.

  2. 02

    No cross-functional alignment

    Business, IT, legal and operations work in silos, with no shared decision framework.

  3. 03

    Value impossible to demonstrate

    Without structured measurement and clear KPIs, AI investment stays a cost line.

  4. 04

    A gap between demo and daily reality

    The demo impresses. Real adoption requires context, support and structured repetition.

Method

From diagnosis to scaled execution

A delivery partner to frame, deploy and measure adoption, tailored to your maturity, your governance requirements and your business priorities.

  1. 01

    Diagnose and frame

    Assess actual maturity, map blockers across business, IT, legal and operations, prioritize populations and the highest-value use cases.

    DeliverablesMaturity assessment, governance framework, roadmap.

  2. 02

    Structure and deploy

    Build the adoption architecture: phasing, internal relays, capability building on real tools and processes, with clear accountability at every step.

    DeliverablesAdoption architecture, champion program, first KPIs.

  3. 03

    Measure and decide

    Extend across teams, measure real usage and business value, and make scaling decisions on data, not impressions.

    DeliverablesAdoption dashboards, usage checkpoints, scaling decisions.

Client reference

VINCI Energies

AI adoption program for an international legal department, in a regulated corporate environment: diagnosis, governance framing, three-phase rollout and capability building, in French and English. A structured engagement over several months, with governance, progressive deployment and usage checkpoints.

View the reference

6

months of structured program

3

adoption phases delivered

20+

professionals onboarded

Antoine Billotte

Founder

Antoine Billotte

AI Transformation & Adoption Lead

20+ years at the intersection of business, IT, legal and operations, across international corporations.

Engagements are led directly with the sponsors and the teams accountable for deployment.

Background : Sony · Mars / Royal Canin · Mastercard · Cegid

  • Business outcomes, not POCs

    A program only succeeds when usage holds up in the teams’ daily work.

  • Cross-functional alignment

    Business, IT, legal and operations aligned, because adoption fails in silos.

  • Governance from day one

    Clear framework, security and responsible use built in from the start, not added later.

Extended delivery capacity through a network of senior partners: adoption, change management, training.

Resource

AI adoption playbook: governance, champions and ROI

The framework we use in engagements: roles and governance, champion program, real usage and ROI measurement.

Download the playbook

Is your program stuck between pilot and deployment?

In 30 minutes, we identify the main friction point and the next useful decision.

Book a 30-minute diagnostic

30 minutes · Confidential · No commitment · FR / EN

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