The situation I was solving
Employees were interested in AI, but interest was not translating into useful business outcomes. Non-technical participants needed help finding a real problem, building a credible prototype, and presenting comparable evidence—while a high volume of ideas created an evaluation bottleneck.
Read the underlying principle: The opportunity comes first. The technology comes second. →What becomes better
The programme generated 133 ideas and created a repeatable innovation funnel rather than a one-off workshop. Participants received a clear build journey, practical support, and consistent submission requirements; evaluators received a structured way to screen evidence and decisions.
How I work through it
I designed communication, learning, technology access, participant support, evaluation, and delivery as one connected system. The campaign began with lived work friction—“if it wastes time, it is a use case”—then moved through Idea → Design → Build → Demo, with personalised guidance and explicit quality gates.
Go deeper: A decision system beats another dashboard. →What I carry forward
Internal innovation succeeds when curiosity has somewhere practical to go. Access to AI is only the starting point; the real product is the path from noticing friction to making a credible, governed decision about what to build next.
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