Use Case 1
Guided Health-System Targeting
Trigger: Seller wants to research a major health system but needs a starting set
1.Display the curated top US health-system list
2.Let the user select a target
3.Run deep web research across five system categories
4.Capture findings with sources and confidence
5.Assemble a structured technology profile
6.Label unconfirmed categories as research gaps
✓
Sellers start from a curated target set and leave with a sourced technology profile.
Use Case 2
Thin-Signal Profiling
Trigger: A selected system has little public technology information
1.Confirm the categories that are publicly verifiable
2.Label unconfirmed categories explicitly
3.Suggest where to confirm the gaps
4.Avoid guessing at missing systems
5.Deliver an honestly-bounded profile
✓
Low-information targets still yield a usable, clearly-bounded profile.
Integrations
Web Research & News
Health-System Reference List
Knowledge Base
Document Storage (Google Drive)
Report & Chart Generation
Industries
healthcare
See It In Action
A sample conversation with this agent
I want to research a major health system but I'm not sure which to target first.
I'll display the curated list of top US health systems so you can pick—each row shows name, region, and approximate size. Once you select one, I run deep web research across EHR, CRM, AI/automation, HR, and BPM, capturing sources and confidence. The list keeps you from starting cold; the research gives you the depth. Which region or system size do you want to start with?
The system I picked has very little public tech information—what do you return?
I return what's verifiable and clearly mark the gaps. For a system with thin public signals I'll confirm the EHR (usually disclosed) but label CRM, AI, and BPM as 'not publicly confirmed' rather than guessing. I add a note on where to confirm—annual reports, job postings, conference talks—so you know it's a research gap, not a finished picture. A half-profile honestly labeled beats a full one half-invented.
Give me the profile in a form I can brief my AE team with.
Profile for the selected system: Epic EHR enterprise-wide, Salesforce Health Cloud, an internal AI/innovation group with named pilots, Workday HR. Likely pain: scale-driven intake and referral coordination. Three briefing points: where their AI pilots have and haven't scaled, referral-leakage exposure at their size, and the buying committee implied by their org structure. Sources linked for each.