Agentic AI
AI agents that don't just generate answers — they help execute healthcare workflows
Agentic AI applies to the operational middle of healthcare: work queues, follow-ups, status checks and exception handling. StellarOne designs these workflows with human review and audit trails at the centre.
Traditional automation vs. agentic AI
- Traditional automation
- Follows fixed rules on a fixed path. Predictable, but brittle when a payer, format or exception changes.
- Agentic AI
- Works toward a defined goal within a bounded workflow, interprets context, and prepares the next step for a person to approve.
Conceptual demonstration
How an agentic workflow is designed
Each stage is deliberate. Nothing reaches a payer or a patient record without a human decision.
- 1
Healthcare Data
Structured operational data drawn from approved source systems.
- 2
AI Orchestration
Work is routed to the agent scoped for that workflow.
- 3
Specialized Agent
The agent gathers context and prepares the next action.
- 4
Workflow Tool
Prepared actions are staged in the operational tool.
- 5
Human Review
An operator approves, edits or rejects before execution.
- 6
Audit / Reporting
Every step is logged and available for review.
Conceptual demonstration
Agent concepts for healthcare operations
Illustrative agent roles mapped to familiar revenue cycle workflows.
AR Agent
Assembles and prioritizes AR work queues, prepares follow-up context and drafts next actions for human review.
Claims Agent
Checks claim status across payer sources and summarizes exceptions that need an operator decision.
Denial Agent
Identifies and categorizes denials, groups recurring reasons and prepares appeal starting points.
Eligibility Agent
Runs eligibility and benefit verification steps and highlights coverage gaps before service.
Reporting Agent
Compiles operational summaries from structured revenue cycle data on a defined schedule.
Operations Agent
Coordinates hand-offs between workflows, tracks queue status and surfaces blockers to supervisors.
Conceptual demonstration. These agent roles describe designed workflows and are not a claim of production deployments.
Governance
Controlled automation, by design
Healthcare operations need boundaries. These principles shape every workflow we design.
Human-in-the-loop
People approve or reject agent-prepared actions before anything is finalized.
Auditability
Each step is recorded so decisions and actions can be reviewed after the fact.
Role-based access
Access to data and actions is scoped to the role performing the work.
Controlled automation
Automation is scoped to defined workflows with explicit boundaries.
Secure integrations
Integrations are designed around least-privilege access to source systems.
Workflow approvals
Approval gates sit between preparation and execution of any action.
Monitoring
Queue throughput, exceptions and agent behavior are monitored continuously.
Logging
Structured logs support operational review and internal reporting.
Conceptual demonstration: the agent roles and workflows described on this page represent StellarOne's design approach to healthcare operational automation. They are not a statement of currently deployed production AI agents, and no performance outcomes are claimed.
Explore where automation fits in your operations
We'll walk through your current workflows and identify where controlled automation is realistic — and where it isn't.