Turn your technical debt into a competitive advantage in 90 days.
AI integration isn't just a technical challenge, it's a cultural shift. Without psychological safety, AI is perceived as a threat. Dismantling those fears is critical to your velocity.
- 70% of AI projects fail not for lack of technology, but for lack of buy-in.
- Only 16% of employees use AI regularly in their day-to-day work.
- The #1 blocker to adoption: fear, not technical skills.
The problem isn't AI. It's the culture in which it's being introduced.
"If you don't have the buy-in of your engineering teams, you have no AI strategy."
For years, CIOs have been the champions of digital transformation. We have entered the era of AI transformation. The objective is no longer just to do things digitally, it's to reinvent how we work. Today, IT leaders are taking on the role of "Workforce Architect".
Navigating the AI era.
Audit
Most IT teams spend up to 80% of their time on repetitive manual tasks. The greatest challenge is 'getting out of the sprint'. Audit your backlog over two weeks: identify time-consuming tasks that don't require complex architectural problem-solving.
Automate
Once you know where your time goes, use AI to reclaim it. Innovative teams create virtual assistants to generate code scaffolding, letting Tech Leads focus their limited time on strategy.
Optimise
Team buy-in is at the heart of any AI strategy. The CIO's new role is to create ethical guardrails and technical governance that reinforce trust.
Report
Turn 'shadow usage' into a company asset: AI shifts from threat to tool for personal growth. Employees become recognized 'AI Heroes'.
The 4 technical pillars.
Initial Assessment
- Shadow AI Analysis
- Mindset Barometer
- LLM Cost Analysis
AI Innovation Lab
- Secure Sandbox
- Agent Mastery
- Business Prompts
Inverse Prototyping
- End-to-Start
- Disruption Workshops
- Express R&D
Leadership Action
- CTO/CIO Alignment
- Retention Strategy
- AI Governance
The strategic imperative of AI.
Beyond the ticket
Automation frees your teams for architecture and high-value problem-solving.
Shadow AI mastery
Framing informal usage ensures security and turns risk-taking into an advantage.
Developer experience
By eliminating drudge work, you reduce cognitive burnout and retain your best people.
Execution speed
A proactive posture radically accelerates Time-to-Market and responsiveness to change.
AI adoption is managed in 6 steps.
An AI rollout without cultural accompaniment produces Shadow AI, resistance and abandoned projects. Our approach addresses the human dimension before the tool.
AI culture diagnostic
Map existing Shadow AI usage, measure fears and blockers, analyse current practices. We start from reality, not from an ideal.
Leadership by example
Leaders and managers who use AI first create collective permission. Without top-level role modelling, adoption stays superficial.
Co-design of use cases
Teams define their own priority use cases. What you co-build, you adopt. What you impose, you bypass.
Governance and safety
Trust in AI requires clear rules. Ethical guardrails, usage policy, data management: a solid framework liberates more than it constrains.
Sandboxes and pilots
Experiment fast, safely, on chosen scopes. Early visible wins create the momentum for large-scale rollout.
AI Heroes & measurement
An internal ambassador programme ensures organic diffusion. Adoption KPIs track progress and enable collective wins to be celebrated.
CIO and CHRO: two pilots, one trajectory
AI adoption cannot succeed without close collaboration between IT and HR. One drives the technology, the other drives the people. Their alliance is what turns a technical rollout into a lasting cultural shift.
Thirty minutes to see
what's slowing you down.
A direct conversation with Yannick Touchard. Together we identify your top 3 blockers. No sales pitch, no commitment.