TokenShift helps EU mid-caps move AI from pilots to production by aligning architecture, operating model, workforce transition, and governance in one execution model.
Founder profile
Pascal
Founder, TokenShift
Pascal built TokenShift around a practical belief: enterprise AI fails when strategy, delivery, people, and governance are owned by separate teams.
- Board-facing readiness workshops and sponsor alignment.
- Operating-model design linking business, technology, and workforce choices.
- Direct working sessions with executive sponsors and delivery leaders.
Why TokenShift exists
Move from promising pilots to owned production outcomes.
Many AI programs prove a tool can work, but never prove that the operating model is ready for production. Architecture advances, but sponsor ownership, manager adoption, and governance design remain fragmented.
TokenShift was designed to close that gap. The company works across four connected phases: Diagnose, Build, Transition, and Assure. Each phase makes the next one more executable.
What buyers can expect
- Clear decision language for CEO, CFO, CHRO, and CTO/CDO buyers.
- A single owner map across business, technology, people, and governance workstreams.
- Visible deliverables, short feedback loops, and explicit production-readiness gates.
- Direct communication with sponsors and delivery teams instead of transformation theatre.
How delivery is structured
TokenShift is founder-led and assembled around the mandate rather than a fixed bench. Engagements are structured to keep architecture, workforce transition, governance, and delivery execution under the same sponsor conversation.
That matters most in regulated, high-stakes programs where acceleration and control have to be designed together, not traded against one another.
Start with a readiness workshop
The strongest first step is the 90-minute workshop. If your team is not ready to book, use the self-assessment to qualify the conversation and join the weekly insights path.