Gregory Augustine
Product and technology owner. Ask where AI should become product capability versus internal leverage.
Jay prep | Friday, June 5, 2026 | 11:30am ET
Operational AI for care-gap action.
Pitch Casper as the action layer around Azara's population-health platform: patient outreach, staff workflows, implementation support, and client reporting.
Best opener
Where does Azara lose time turning data into action?
Sharp wedge
Conversational outreach agent
Commercial frame
$42k-$105k discovery + prototype
Call position
Do not sell analytics. Sell action.
Azara already finds the care gaps and quality opportunities. The useful Casper narrative is a bounded AI workflow that helps those signals become completed outreach, staff action, implementation support, and client-facing proof.
Use this opening
I understand Azara already does the hard part of surfacing care gaps and quality opportunities. Where do those insights slow down before they become completed outreach, client action, or implementation work?
Stakeholders
Route the conversation through product value and proof.
Philip Parker
Client analytics stakeholder. Ask what a pilot must prove in data, measure logic, reporting, and client trust.
Fred, Derek, Jay
Keep the meeting at workflow altitude until Azara names the first workflow and success metric.
Pilot menu
Three lanes, one recommended wedge.
Workflow architecture
Azara signal to measurable action.
1IdentifyDRVS cohort
2Prioritizerules + risk
3Contactvoice or text
4Reviewhuman escalation
5Reportclient value
For Greg
Product and ownership questions
- Which outreach workflow should become an Azara product capability?
- Where do humans still stitch care-gap, quality, and patient context together?
- If this works, is the value internal efficiency, client outcomes, product packaging, or all three?
For Phil
Proof and analytics questions
- What data is already structured enough to trigger action?
- What makes a 30-day proof credible: visits, closed gaps, fewer touches, or reporting quality?
- Which integration point is safest for a prototype?
Guardrails
Responsible AI is the sales language.
PHI boundary
Use approved environments, minimize retention, and define BAA needs early.
Human oversight
Review queues, escalation rules, staff control, and exception handling.
Patient safety
No medical advice, clear tone, consent, opt-out, and emergency handling.
Auditability
Trace every outreach attempt, response, decision, and reported metric.
Use carefully
Proof points
- Allara: closest healthcare ops analogue. Use as a pattern, not a public case study.
- VSP Vision: healthcare enterprise AI springboard with prototypes and ROI cases.
- Sphera: enterprise implementation and knowledge workflow automation.
- Netflix/Doritos: voice reliability and scale, only if the topic comes up.