22 team members completed the AI Readiness Survey across 10 dimensions of maturity. The results paint a clear picture: the culture is ready, but the infrastructure isn't. Your team wants to use AI. They just need the systems, training, and measurement to do it well.
"The Culture Is Ready.
The Infrastructure Isn't."
86% of your team is in the Integration tier — aware, experimenting, and motivated. The gap isn't willingness. It's workflow. Nobody has built repeatable AI systems into their day-to-day yet. No one measures impact. Governance is improvised. The pilot program targets exactly these three gaps, turning individual experimentation into a team-wide operating advantage.
The survey assessed 10 dimensions of AI maturity. Comparing answers across high, mid, and low scorers reveals where to focus the pilot program.
Most of the team said AI is "not integrated at all" into their workflows. Even top scorers are only at "a few repeatable workflows." AI is a side tool, not part of how work actually flows. The single biggest opportunity for the pilot.
Nearly everyone selected "no measurement" when asked how they track AI's impact on outcomes. Without measurement, there's no way to prove ROI or know what's working. Every pilot workflow needs tracking built in from day one.
The majority of respondents reported zero formal AI training before the retreat. The May 13–14 sessions were the starting line for most of the team. The pilot workflows need built-in guidance, not just tools.
No standardized AI guidelines exist across the team. Some have basic do's and don'ts, others are improvising entirely. QC depends on the individual. The playbook needs to establish org-wide standards.
Responses varied widely. Some see clear sponsorship; others, including senior staff, selected "little to no support." The intent may exist, but it isn't visible to everyone. A visible signal from leadership closes this fast.
Consistently positive across all score levels. The team describes growing curiosity and active knowledge sharing. People want to learn and experiment. This is the foundation everything else builds on — and it's already there.
Based on the survey data, these team members are best positioned to lead pilot adoption. Champions test workflows first, flag issues, and support teammates who are earlier in their journey.
Pilots 1 and 2 are recommended as the starting pair. Both target the two most critical gaps (workflow integration + impact measurement), have clear champions ready to lead, and will produce results visible to leadership within two weeks. Pilot 3 can begin in parallel or follow in week three once team confidence is building.
Four phases. Six weeks from discovery to delivery. The pilots run inside Phase 3; the playbook and 30/60/90-day roadmap land in Phase 4.
Survey analysis complete. Retreat debrief delivered. Champion candidates identified. Tool environment audit underway.
Finalize 2–3 pilot workflows. Build prompt templates and step-by-step guides. Test each workflow end-to-end before team handoff.
Champions test first, then broader team rollout. Weekly check-ins. Iterate based on feedback. Document what works.
AI Playbook with validated workflows. 30/60/90-day roadmap. Final presentation, handoff, and check-in call scheduled.