Healthcare

AI-Powered Healthcare Prior Authorization Agent

AI-driven customer support automation delivers 24/7 assistance, reduces response time by 60%, and streamlines ticket routing and knowledge-based support.

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ai-powered
AI-Powered
Customer Support Automation
0%
Automated Support Availability
0%
Support Process Efficiency

Client Profile

A leading enterprise healthcare services organization based in California, USA, focused on patient care, insurance coordination, and provider workflows. The organization manages high-volume prior authorization processes across multiple healthcare services and insurance payers. Softree Technology designed and implemented an AI-powered prior authorization solution using Microsoft Power Platform and AI, automating document processing, authorization workflows, payer follow-ups, escalation, and analytics to improve operational efficiency and visibility.

Use Cases
AI Agents, Process Automation, Healthcare Operations
Industry
Healthcare
Project Type
AI-Powered Healthcare Prior Authorization Automation
Scale of Operation
High-volume healthcare prior authorization operations across multiple healthcare services and insurance payers.
End Users
Healthcare authorization teams, administrative teams, providers, and payer-facing stakeholders.
Service Provided
AI Agent DevelopmentProcess AutomationPower Apps DevelopmentIntelligent Document ProcessingBusiness Intelligence
The Client Challenge

Business Process Challenges

  1. Managed a high volume of prior authorization requests across healthcare services and insurance payers.
  2. Relied heavily on manual coordination between healthcare providers, administrative teams, and payers.
  3. Teams manually collected patient information and clinical documentation.
  4. Required manual document review and validation against authorization requirements.
  5. Authorization requests were manually submitted, tracked, and followed up with payers.
  6. Increasing request volumes led to processing delays and repetitive administrative work.
  7. Incomplete documentation created additional rework and authorization delays.
  8. Limited visibility made it difficult to track authorization progress across the full lifecycle.
  9. The organization needed to automate routine activities while keeping healthcare professionals involved in critical decisions.
  10. The goal was to improve request completeness, accuracy, payer communication, processing speed, and end-to-end visibility.
Our Approach

Our Strategic Approach

  1. Designed an AI-powered prior authorization solution using Microsoft Power Platform and AI agents.
  2. Created a centralized Power Apps interface for authorization teams to create, review, and manage requests.
  3. Used Microsoft Dataverse for centralized authorization data management.
  4. Implemented an Authorization Intake Agent to capture and validate authorization requests.
  5. Introduced a Document Verification Agent to extract information from submitted documents and identify missing requirements.
  6. Implemented a Payer Communication Agent to assist with payer correspondence and status requests.
  7. Added an Approval Tracking Agent to monitor authorization progress, deadlines, and pending actions.
  8. Implemented an Escalation Agent to identify delayed or high-priority cases and trigger appropriate workflows.
  9. Used Power Automate to orchestrate approvals, notifications, payer follow-ups, escalations, and status updates.
  10. Leveraged AI Builder and Copilot capabilities for intelligent document processing and user assistance.
  11. Used Power BI to provide operational and executive dashboards covering authorization volumes, turnaround times, pending requests, and process bottlenecks.
Our Solution Architecture

How we delivered it.

MPA
Microsoft Power Apps
Integrated Microsoft Power Apps layer in the solution architecture.
PA
Power Automate
Integrated Power Automate layer in the solution architecture.
CS
Copilot Studio
Integrated Copilot Studio layer in the solution architecture.
AB
AI Builder
Integrated AI Builder layer in the solution architecture.
MD
Microsoft Dataverse
Integrated Microsoft Dataverse layer in the solution architecture.
PB
Power BI
Integrated Power BI layer in the solution architecture.
MF
Microsoft Fabric
Integrated Microsoft Fabric layer in the solution architecture.
MT
Microsoft Teams
Integrated Microsoft Teams layer in the solution architecture.
AO
and Outlook.
Integrated and Outlook. layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

  1. Transformed prior authorization from a manual and reactive process into an intelligent, proactive workflow.
  2. Reduced repetitive administrative activities through workflow automation.
  3. Improved identification of incomplete requests and missing documentation using AI-assisted validation.
  4. Enabled teams to track authorization progress and respond more effectively to stalled or high-priority cases.
  5. Accelerated authorization turnaround through automated payer follow-ups and status updates.
  6. Improved request completeness and accuracy through AI-powered document validation.
  7. Provided real-time visibility across authorization pipelines and pending requests.
  8. Implemented proactive SLA monitoring and escalation workflows to identify cases requiring attention earlier.
  9. Gave leadership greater visibility into payer-level trends, process bottlenecks, and workload patterns through Power BI.
  10. Established a scalable foundation for expanding AI-assisted automation across additional healthcare workflows.
Results & Business Impact

The numbers behind the rollout.

01
Customer Support Automation
AI-Powered
02
Automated Support Availability
100%
03
Support Process Efficiency
90%
Reference Tech Stack

The full integration layer.

Microsoft Power Apps
Power Automate
Copilot Studio
AI Builder
Microsoft Dataverse
Power BI
Microsoft Fabric
Microsoft Teams
and Outlook.
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

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