Structured AI enablement with role-specific learning paths — developing internal AI Ambassadors who sustain adoption long after the engagement ends.
A large enterprise had made significant technology investments in AI tooling but was seeing low adoption across business units. The technology was in place — the gap was human capability and confidence. Leadership recognised that sustainable AI adoption required building internal skills, not just deploying external tools.
Employees across business units lacked the confidence and practical skills to integrate AI tools into daily work — despite access to the technology. Generic AI training had been tried before with limited uptake: it was too abstract, not role-specific, and produced no lasting change. The organisation needed a program that created internal change agents who could sustain adoption organically, not just tick a training completion box.
Our founding team designed and delivered a structured AI enablement program with hands-on workshops tailored to specific roles and use cases. Rather than generic AI literacy, each learning path was built around the actual AI tools and workflows relevant to each business unit. A dedicated AI Ambassador track identified motivated employees and developed them as internal advocates who could drive peer adoption and troubleshoot day-to-day AI questions without external support.
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