Agent Development Lifecycle
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Synthetic Transcript
Agent behavior under review
Evidence Ledger
Auditable source records
Human QA
Review decision
Current verdict
Regression Set
Healthcare agent eval matrix
| Scenario | Workflow | Risk | Expected Behavior | Assertions | Score |
|---|
Failure Analysis
What the evals are designed to catch
Case Study
How this maps to agent development
01
Discover
Map customer workflow, patient/member intent, source systems, policy boundaries, and handoff thresholds.
02
Design
Turn operational rules into answer patterns, grounding requirements, escalation language, and success criteria.
03
Evaluate
Run scenario tests across accuracy, empathy, privacy, grounding, task completion, and refusal behavior.
04
Operate
Review transcripts, tag failures, update playbooks, and monitor drift before expanding use cases.
Launch Readiness
Controls a healthcare agent should have
Positioning
What this project is meant to prove
Benefits, billing, access, intake, and trial-navigation scenarios are represented as operational systems, not generic chatbot prompts.
Rubrics, regression cases, failure tags, and reviewer notes show how the agent gets improved after launch.
The interface makes uncertainty, source gaps, escalation, and PHI boundaries visible before a response is trusted.