AI Health Agents: The New Front Door to Care
The next generation of healthcare AI isn't a chatbot — it's a production system that closes claims in 60 seconds, navigates patients to the right care setting, and enforces data boundaries your compliance team can stand behind.
Join Celestial Systems for a technical evening session built for healthcare IT architects, developers, and AI engineers who are ready to move past proofs of concept and into production-grade deployment.
What You'll See
A live demonstration of an end-to-end claims processing system — from raw submission to final posting in under 60 seconds. The system handles complex real-world scenarios that previously required 45 minutes of manual AR analyst work, including amount mismatches, name truncation, fraud detection, coordination of benefits, Medicare bundling edits, and compliance holds.
You'll also see the architecture behind it: a 6-agent pipeline using right-sized models (GPT-4o-mini for parsing and lookups, GPT-4o for complex judgment calls) that reduces costs by 60% compared to uniform model approaches — and real-time SSE streaming that gives you full transparency into agent reasoning at every step.
Why This Matters Now
Healthcare organizations face mounting pressure to adopt AI while staying compliant with privacy regulations and data residency requirements. Production-ready systems need to handle security from the ground up — zero credentials in code, Azure Managed Identity authentication, temporary token expiration — not as an afterthought.
This session covers what it actually takes to build and deploy AI that works in a regulated environment, not just in a demo sandbox.
Who Should Attend
This session is built for IT directors, CIOs, CTOs, digital transformation leads, and heads of operations at health authorities, hospital networks, community health organizations, and healthcare companies in the Vancouver area who are ready to understand what production-grade healthcare AI looks like — and what it takes to bring it into their organization.
What You'll Take Away
A working understanding of how a 6-agent pipeline handles the full claims processing workflow in production
How to architect cost-efficient multi-agent systems using right-sized models
Critical security practices for healthcare AI: managed identity, zero-credential design, and token expiration
What real-time agent transparency looks like — and why regulators care about it
Direct answers from the people who built and deployed these systems