AI Adaptation Consulting
Your people are using AI. Nobody's sure it's adding up to anything.
We turn scattered AI use into one way of working the whole organization shares, with the strategy, the priorities and the operating model to hold it.
Same capability. Different accountability.
AI Sprint programs: we train specific teams (Teams, Managers, Tech to Lead, Leadership) on AI tools and practices. You implement changes. Want your own people to build and run this change? The same ground as in the consulting engagement, is covered as a cohort program.
We start from how work actually happens, not from the tools. We set the AI strategy and the priorities with your leadership, decide where AI belongs and where it doesn't, and put the management system around it so the change holds after we leave. Where the operating model itself is in the way, we redesign the structure, the decision rights and the ways of working. You get an organization that uses AI the same way across teams, leaders who can say why, and a delivery that runs on it. For COOs, transformation leads and function heads moving an organization of 100 or more people onto AI.
For organizations where AI adoption needs to become a capability
- →Organizations that have run AI training but adoption remains inconsistent across teams
- →Leadership teams who need AI adoption to be organizational capability
- →Organizations with significant artificial intelligence investment and unclear ROI
- →COOs and department heads who need AI governance before they can scale AI use
- →Organizations where the 'AI champion' has left or is unsupported and adoption has stalled
Four phases. 3–6-12 months. Systematic adoption at the end
AI Adoption Diagnostic
Where is your organization on the artificial intelligence adoption curve? What is working, what is failing, and why? We map the gap between current state (tools deployed, awareness exists) and target state (systematic, governed AI use). Output: adoption gap analysis and phased roadmap.
Adoption Design
We design the organizational structures that make AI adoption stick: AI governance framework, accountability model, communication strategy, capability development priorities, measurement system designed for your organizational context.
Managed Adoption
We manage the transition: stakeholder alignment, team-by-team adoption support, resistance management, communication execution, governance rollout. We work with HR, leadership, and department heads simultaneously. Regular progress reviews against agreed metrics.
Measurement and Embedding
We measure adoption against behavioral and outcome KPIs. We identify where adoption is not holding and adjust. We embed adoption practices into regular organizational rhythms (planning cycles, reviews, onboarding). We hand over with a documented AI adoption operating model.
What your organization gains
- ✓Adoption of artificial intelligence is consistent across the organization
- ✓Governance framework is in place: accountability for AI-generated outputs is clear
- ✓Measurable change in how teams work: before/after behavioral evidence
- ✓Leadership can govern AI at the organizational level, they know what to oversee and what to trust
- ✓AI adoption is embedded in organizational rhythms
Upcoming courses, workshops and webinars
Practical training from people who do the work. Pick your track, from management foundations to AI mastery.
Ready to discuss this engagement?
Start with the AI Readiness Assessment or book a scoping call directly. We respond within 1 business day.
Price: on request · We share accountability for results.