Legacy App to AI Agent Migration Use Case

Healthcare Prior Authorization

Convert EHR lookups, payer portal checks, medical policy review and document preparation into a consent-aware AI agent workflow with clinician oversight.

Discuss This Use Case

The Business Problem

Prior authorization work is document-heavy and fragmented across patient records, payer portals, forms and policy rules. Staff often perform repetitive gathering and formatting before clinical review can happen.

Before

Staff gather patient context manually.
Payer criteria are checked in separate portals.
Documentation gaps appear late in the process.
Status follow-up consumes administrative time.

After Agentic Transformation

Agents gather required context and identify gaps.
Payer-specific forms are prepared earlier.
Clinical assertions remain human-reviewed.
Submissions and follow-ups become traceable.

How the Workflow Changes

The use case becomes a governed agent workflow where context is gathered, rules are checked, actions are prepared and humans keep authority over sensitive decisions.

InputsEHR context, payer rules, forms, clinical notes and supporting documents.

→

Agent WorkflowThe agent classifies urgency, checks criteria, drafts authorization packets and identifies missing information.

→

Controlled OutcomeClinicians and administrators review and approve submissions before payer interaction.

Implementation Blueprint

KryptoMindz turns the use case into a practical migration path, starting with discovery and moving toward controlled automation only when evidence supports it.

Discover

Map authorization journeys, payer rules and documentation needs.

Wrap

Define PHI-safe retrieval and role-based access.

Pilot

Pilot packet preparation and missing-document detection.

Scale

Expand to status follow-up and supervised submission workflows.

Security and Control Model

The agent is designed as a governed production actor with scoped tools, approval gates, logging and fallback paths.