The AI Baseline: where we stand.
A single diagnostic session to measure capability, attitude, and ROI opportunities before building.
Most organisations start their AI journey with a tool purchase or a general mandate. I start with a question: what is actually happening on the floor today? The AI Baseline is a structured, two-hour diagnostic session with a cross-section of your team. It replaces guesswork with metrics, showing exactly where capability is strong, where fear or friction exists, and where the highest daily ROI is hidden. This data forms the starting point for both training tracks.
1. Capability: Beyond basic chat
We assess what tools are currently used, from basic search fallbacks to API usage and structured workflows. This separates active builders from passive users and maps actual technical readiness.
2. Attitude: Excitement and friction
AI adoption is emotional. We measure the split between optimism, skepticism, and fear. By addressing security concerns and task-replacement anxiety early, we clear the path for adoption.
3. Opportunity: Finding the high-yield flows
We run the numbers on daily tasks. Where are the hours going? Which processes are repetitive but high-value? We map these to specific AI building blocks with a clear, measurable ROI.
A roadmap built on data, not assumptions. The baseline ensures we build what matters and train what is needed.