Workshops, playbooks, briefings, and field notes for healthcare leaders who need practical AI adoption — with governance and human accountability built in.
A 90-minute working session to choose your first governed workflow and leave with a practical next step.
Reserve a seat →Resource hubScorecards, selectors, checklists, pilot scoreboards, and governance templates.
Explore tools →MethodThe 5-stage method: Diagnose, Design, Pilot, Prove, Scale.
Read the method →What AI can safely support, what it should not do, and how to avoid scattered tool adoption.
How to map a workflow, define approvals, train the team, and measure adoption.
How leadership reviews use cases, risk, business impact, and the next scale decision.
The same operating sequence used in a HealthFounderOS Sprint, translated into practical public learning modules.
Map growth leaks, workflow drag, data boundaries, and resistance.
Define the first workflow, human approvals, prompts, handoffs, and success metrics.
Run the workflow with one team before expanding.
Measure impact, governance issues, and adoption friction.
Turn what works into a reusable playbook.
Lead follow-up, referral conversion, CRM hygiene, content reuse, and sales enablement.
No-PHI starts, human review, compliance-aware claims, clinical boundary language.
Meeting intelligence, executive dashboards, follow-up loops, and decision cadence.