Tactical Edge
Healthcare Agentic AI

Agentic operating systems for healthcare workflows

Tactical Edge builds governed AI agents that coordinate prior authorization, care management, care-gap closure, discharge follow-up, and member engagement while preserving clinical ownership.

EHR, claims, care platforms
Governed healthcare data layer
Specialized agent runtime
Policy, evals, audit, identity
Clinical and operations review
Outcome loop: cycle time, resolved cases, escalation accuracy, care-team acceptance, and audit completeness.

Where we start

We begin with workflows where evidence is spread across systems, rules are inspectable, and human review can be preserved at the right threshold.

Prior Authorization Intake

Agents gather evidence, match criteria, detect missing documentation, and prepare review-ready packets.

Care-Gap Closure

Agents identify eligible members, prepare outreach, track completion, and route exceptions to care teams.

Discharge Follow-Up

Agents reconcile discharge notes, coordinate next steps, and flag high-risk transitions for clinical review.

Appeals Preparation

Agents assemble denial reasons, medical evidence, timelines, and policy references for accountable review.

Workflow model

1
Intake
2
Evidence
3
Policy
4
Risk
5
Review
6
Action
7
Learning

Controls built in

Every agent action is bound by data access, consent, tool permissions, policy version, evaluation score, and audit evidence. High-risk decisions route to accountable humans.

Clinical teams stay central

Agents prepare, route, and monitor work. Clinicians and operations leaders own judgment, exception handling, program design, and final approvals where risk demands it.

Implementation path

1

Workflow discovery and risk classification

2

FHIR, claims, document, and care platform integration

3

Agent design for evidence, policy, risk, outreach, and routing

4

Human review console and operating metrics

5

Evaluation harness, audit logs, and production monitoring

Move healthcare work from queues to outcomes

We can help define the first workflow, design the agent control plane, and take the system through evaluation, shadow mode, and monitored production.