Reduce Denials & Audit Risk with
AI Compliance Agent
Automatically validate test orders, identify compliance issues, and reduce denials before they happen.
Trusted by labs and clinics worldwide
How AI Compliance Agent Works
Docus continuously runs compliance checks to catch issues before they lead to denials or audit risk.
Validate Orders
AI automatically checks test orders against diagnosis codes and medical necessity rules.
Detect Compliance Issues
AI identifies frequency violations, missing data, and potential compliance risks.
Alert and Prevent Denials
Docus notifies your lab and ordering providers before submission to resolve issues early.
Compliance Checks Across Your Workflow
Run compliance checks before orders are submitted or after results are generated.
Test Order–ICD Validation
Ensure tests align with diagnosis codes and medical necessity before submission or after results are generated.
Frequency Checks
Detect duplicate or too-frequent testing across new orders and completed results.
Pre- and Post-Test Review
Apply compliance checks at different stages, during requisition or after testing.
Lab and Provider Alerts
Get notified when issues are detected, so they can be resolved before causing denials or audit risk.
Backed by Industry Data
Reduce Risk and Protect Revenue
The AI Compliance Agent helps labs prevent denials, reduce audit risk, and improve order accuracy.
of claims are denied
driven by data issues
cost to rework a denied claim
Simple Integration, Flexible Setup
Choose how to send lab data to Docus and access results in minutes.
API/HL7 Integration
Send lab data via API/HL7 and receive structured interpretation reports and other outputs directly in your LIS, CRM, or EHR.
Docus Interfaces
Get started instantly with Docus interfaces for labs, doctors, and patients. No integration required.
Clinical insights
you can trust
Built on the latest medical literature and clinical guidelines.
Continuously reviewed and validated by healthcare professionals.
Tailored to patient history, previous results, and clinical context.