An AI-native approach to your two most critical challenges: delivering value that drives revenue, and codifying AI adoption at the org level.
Missed opportunities, delivery after delivery pushed back, no measurable ROI, and a hard time explaining to customers the value you've built — leadership often feels the symptoms without being able to name the cause. Especially since the collaboration patterns that worked yesterday may not work today, whether you've crossed a growth threshold or AI has come in and reshaped how work gets done.
Four steps, in this order — because each builds on the previous.
Understand your context.
Together, we identify the key friction points to address and the cultural specifics to build on, then frame a v0 of the skills and agents to install, alongside a coaching plan tailored to your reality.
Codify AI × Human collaboration.
A coherent library of AI skills — for AI × Human collaboration on how your teams research, compare, analyse and draft deliverables — plus the agents that run those workflows autonomously. Installed so it's accessible to your AI and readable by your humans.
Codify Humans × Humans collaboration.
Principles and rituals that frame Humans × Humans collaboration, so your Product, Design, Engineering, Marketing and Sales teams can focus on the tasks that actually add value: contextualising, framing, arbitrating, correcting, validating and shipping.
Adapt and improve.
Daily or weekly follow-up with the teams to move from adoption to performance — completing the install of the change and evolving execution and collaboration practices at the teams' pace, adapting to your company's needs.
How your teams work with AI — best practices codified for optimal AI × Human collaboration. A reusable library of skills and agents installed in your own stack.
The information and knowledge that make AI effective and agent outputs relevant.
Clear rules for collaborating with your AI, plus standardised deliverables:
The code and connectors that give your AI hands — access your systems to read or update context, and execute the individual actions a workflow needs.
They chain skills and tools to run full workflows end-to-end, autonomously, without human supervision.
The principles that guide the human's role and keep a critical eye on AI outputs, and the rituals that smooth Humans × Humans collaboration so value travels between teams.
Bi-weekly sprint defence · Monthly roadmap review · PM / CSM bi-weekly · Triad sessions · Quarterly prioritisation cycle · Bi-weekly agile re-prioritisation.
Julien joined us at a pivotal moment to lead the transformation of our product development approach. With agility and vision, he embedded best practices that allowed us to harness our full potential and, as a result, deliver two major innovations on time and with excellence.Thomas Cottereau — CEO at SightCall
AI 10x's the individual before it 10x's the organisation. Extending those AI productivity gains org-wide requires two things: making the key components accessible to everyone, and providing a simple method to codify and standardise.
An effective org-level AI strategy rests on four components. Each with a clear role.
The information and knowledge that make AI effective and agent outputs relevant.
Clear rules for collaborating with your AI, plus standardised deliverables.
The code and connectors that give your AI hands — access your systems to read or update context, and execute the individual actions a workflow needs.
They chain skills and tools to run full workflows end-to-end, autonomously, without human supervision.
Adopting codification at scale requires a simple, standardised approach focused on the benefits it delivers.
Start from the objective and identify the deliverables that contribute to reaching it. Identify the most time-consuming ones. Establish productivity and impact benchmarks.
Codify the skills that enable collaboration. Define the agents that work autonomously. Standardise the deliverables.
Test skills and agents in real conditions. Address friction points. Measure productive impact. Re-frame or iterate accordingly.
Julien produced high quality work supported by a well thought-out methodology and delivered with an amazing humble, team-player attitude.Martin Pannier — CEO at Primo
Follow along for the methodology in practice — and how AI is rewriting the way teams work in 2026.