The AI opportunity
at P1 Dental Partners.

A prioritization problem,
not a technology problem.

The workshop confirmed what the pre-workshop survey had already signaled: P1's AI challenge isn't capability or appetite — it's focus. Across two hours of generative work, leadership and Prairie identified 74 distinct AI use cases spanning brand, service, customer, operations, and people. The room then converged: a clear top seven, and one priority lighthouse — Schedule Fulfillment — backed by the highest concentration of votes.

This report takes that raw output and turns it into a sequencing plan Graham, Shane, Jon, and the broader team can act on. It organizes every idea by theme, preserves the complete inventory so nothing is lost, ranks the top seven, walks the Schedule Fulfillment lighthouse to a POC-ready definition, and proposes a "first five / second five / all others" cadence so the team protects momentum without overreaching.

Five themes —
the operating system
of a DPO.

Workshop output naturally clustered into five themes that map the full operating system of a Dental Partnership Organization. Below, each theme is summarized in a single card; the section that follows breaks them out one-by-one with the strategic framing, the complete idea list, and the highest-voted opportunities within each.

The shape of these themes tells its own story: most of the volume — and most of the votes — sit in operations and people. That maps directly to Graham's 12-24 month priorities: patient experience, then operating performance, then revenue and cost.

Every idea the room generated.

All 74 ideas captured in the workshop, preserved verbatim and grouped by theme. Top-voted use cases are highlighted with a glowing dot. The lighthouse — Schedule Fulfillment — is flagged in gold.

Treat this as a menu, not a mandate: the sequencing section that follows takes a deliberate position on what gets built first, second, and later. Everything here remains visible so the team can pull ideas forward as the data and operating environment evolve.

The Top 7 — what the room voted on.

After the divergent landscape exercise, the room collapsed back to seven priorities. The shape of these votes tells its own story: the wins P1 is reaching for are operational, financial, and people-related — not marketing or experience. Five of the seven sit in operations or workforce. That maps directly to Graham's 12-24 month priorities: patient experience, then operating performance, then revenue and cost.

Schedule Fulfillment took the top spot by a meaningful margin — and was selected as the lighthouse to walk through the Lighthouse Canvas in the second half of the workshop.

First five.
Second five.
All others.

Graham was explicit on the April 9 call: "give me a prioritized list — first five, second five, all others." This is that list. It's built from the Top 7 vote, plus two adjacent use cases that share data infrastructure with the lighthouse and can ride along at low marginal cost.

The sequencing logic: start where the data is reachable and the ROI is defensible. Schedule Fulfillment leads not just because the room voted for it — but because Ascend API access is already approved, the value math is measurable, and the operational owners (RDOs, office managers) are already in the room and asking for it.

Three moves to de-risk
the first 90 days.

A prioritized list isn't enough. To convert the workshop's energy into outcomes, P1 needs three operating moves in parallel: a thin governance backbone, named POC owners, and a single source of truth on AI activity. Each is lightweight by design — Graham doesn't need a program, he needs traction.

Working notes & companion artifacts.

The full 74-item idea inventory above is the room's verbatim output, preserved by theme. The Lighthouse Canvas in §05 is also verbatim from the post-its — kept that way so the team can return to original framing rather than relying on synthesized summaries.

Companion artifacts delivered to the P1 / Prairie team: