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Agent architecture

How Llama Packs Work

A continuous cycle of intelligence: Ingest → Reason → Act → Learn. Autonomous agents that get smarter every day.

Detailed breakdown of each cycle stage

01

Ingest

The agent securely pulls real-time data from your EHR (Epic), RTLS system, claims feeds, wearables, and any other source.

  • FHIR APIs, HL7 interfaces, RTLS WebSockets
  • Zero data retention of PHI outside your environment
  • Continuous, event-driven ingestion

02

Reason

The agent swarm analyzes the data using specialized Llama 3.1 models (70B + 8B). It applies your facility-specific rules, clinical guidelines, payer policies, and historical patterns.

  • Differential diagnosis, risk scoring, optimization logic
  • Full explainability and audit trail
  • Confidence scoring on every recommendation

03

Act

The agent executes autonomously inside your systems: updates charges, creates appointments, dispatches staff, writes notes, submits appeals, triggers alerts.

  • Writes back safely via FHIR / HL7
  • Human-in-the-loop options for high-stakes actions
  • All actions logged in Epic's native audit log

04

Learn

Every outcome is fed back into the system. The agents continuously improve accuracy, adapt to your unique workflows, and incorporate new payer rules or clinical guidelines.

  • Closed-loop learning
  • Model fine-tuning (with your approval)
  • Performance dashboards visible to your team

Why This Cycle Matters

Governance-first autonomy compounds: every loop tightens accuracy, shrinks exception queues, and keeps human experts on the decisions only humans should own.

98.7%

First-pass accuracy across governed workflows

24/7

Always-on ingestion & orchestration

100%

Actions mirrored to native audit surfaces

Operational leverage

Fewer swivel-chair workflows between billing, access, nursing, and analytics teams.

Defensible automation

Explainable traces and replayable decisions satisfy compliance and clinical governance.

Ready to see it in action?

Walk the cycle on your interfaces, with your data classes, in a technical session built for engineering and security leaders.