AI Readiness & Adoption
Find what needs to change in the organisation, then give people a practical way to adopt AI responsibly.
AI Readiness & Adoption
A tool can be available while the organisation remains unprepared. Unclear purpose, weak information access, inconsistent processes, limited skills or a lack of ownership can prevent a promising initiative becoming useful everyday work.
An evidence-backed view of readiness, the barriers that matter most and a sequenced plan for adoption. The assessment supports action rather than a maturity score without context.
Business and technology leaders, AI programme owners, people and change teams, and organisations preparing for enterprise AI or Microsoft 365 Copilot adoption.
Before a wider rollout; when licences or pilots are not translating into use; or when leaders need to understand what investment in people, process and foundations is required.
Agree the intended use and outcomes. Gather evidence across strategy, people, process, information, technology, architecture, assurance and adoption. Validate findings with owners. Prioritise interventions around impact and dependencies.
Conduct interviews and prepared workshops; examine access and information ownership; review workflow fit, guidance and support; identify capability gaps; shape role-based learning; agree adoption measures and operational responsibilities.
A readiness heatmap with evidence and confidence notes; capability and adoption gaps; priority interventions; quick wins; a 90-day plan; a longer-term roadmap; and an adoption approach covering ownership, communications, learning and feedback.
Invest in the foundations that actually limit progress. Help staff understand when to use AI, how to check its work and where human judgement remains essential. Measure useful changes in work, not attendance alone.
Connect workforce capability and responsible use with agency AI policy, applicable DTA guidance and service priorities. Work with agency owners on approved tools, information handling and human accountability.
Assess how platforms, processes, knowledge, licences and support fit together. Use workflow-level outcomes and adoption evidence to inform the next rollout decision.
Design accessible learning and support around staff roles, time and digital confidence. Protect participant information and consider whether changes strengthen or weaken human connection.
Assess one function, workforce group or priority use case before expanding. Workshops and education are prepared around the work participants need to do.
Move a ready use case into AI Pilot-to-Production, or use the accelerator to coordinate governance, architecture and adoption work across several priorities.
Choose the outputs that the agreed scope needs. Each should make a decision, responsibility or next step clearer.
A readiness heatmap with evidence and confidence notes
Capability and adoption gaps
Priority interventions
Quick wins
A 90-day plan
A longer-term roadmap
And an adoption approach covering ownership, communications, learning and feedback
Your next decision
You do not need a finished brief.
