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    Impact Academy for AI adoption

    Licences already paid for turn into daily work through role-based enablement and champions embedded in each team, measured per role. Scope is agreed after the adoption assessment.

      AI Transformation & Adoption
      1 Foundational → Developing
      2 Developing → Scaling
      3 Scaling → Advanced
      • AI maturity & readiness assessment
      • AI strategy & use-case portfolio
      • Impact Academy
      • AI transformation roadmap
      • AI operating model design
      • Copilot CoE & adoption program
      • Agentic AI architecture
      • Continuous AI advisory
      • Evolution AI
      Why it matters

      The tools are deployed. Usage stays flat.

      Microsoft’s Work Trend Index measures a 3.2x gap between AI tool availability and actual workforce usage. Licences are bought, one generic training session is run, and three months later the same handful of enthusiasts remain the only regular users, because nobody rebuilt the tasks around the tool.

      Adoption is a capability, not an announcement. We map usage per role, run enablement on the tasks your teams already do, name champions inside each team and measure the change against the baseline, so the licence you already pay for turns into work done differently. The decision is whether to fund enablement or keep renewing licences nobody opens.

      3.2xgap between AI tool availability and actual workforce usage (Microsoft WTI)
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      How the programme runs

      Enablement that lands on real work

      Not a course. A programme built around the tasks each role actually performs.

      Assess

      Current usage per role and where the friction actually is

      Design

      Role-based paths built on real tasks, not generic demos

      Enable

      Sessions, prompt libraries and champions inside each team

      Measure

      Usage and impact tracked, with the programme adjusted to it

      Is this for you?

      Why AI training does not change behaviour

      And what an enablement programme has to do differently.

      01

      Generic training. One session for everyone, built on demos that have nothing to do with the daily job.

      02

      Licences without habits. Access is granted and nothing changes in how the work is done.

      03

      No champions. Nobody inside the team can answer a question when it comes up on a Tuesday.

      04

      Usage never measured. Nobody knows who uses what, so there is nothing to improve.

      05

      Enthusiasm that fades. Adoption peaks after the session and decays over the following weeks.

      What’s included

      What the programme includes

      Enablement built to keep running after we leave. Not for organisations without AI licences deployed; we start where the tools exist and usage is already flat.

      Adoption assessment

      Current usage by role and team, and the friction stopping the rest from adopting.

      Role-based learning paths

      Content and exercises built on the real tasks of each role, with their own data and tools.

      Champions and prompt libraries

      People enabled inside each team, with shared prompt and use case libraries.

      Measurement and cadence

      Usage and impact metrics, with a review rhythm that keeps adoption moving.

      What you take away

      • Adoption baseline
      • Learning paths per role
      • Champion network and libraries
      • Adoption dashboard and cadence
      Recommended next step

      Measure adoption before enabling

      One 90-minute session with your IT and HR leads. You leave with usage read by role and team, and the friction blocking the rest.

      Book the adoption assessment