Healthcare

Healthcare Billing & Denial Resolution Agent

A Singapore healthcare provider proposed an AI agent to streamline claim denial investigations, payer research, follow-ups, and specialist review.

softreetechnology.com/case-studies
healthcare
0%
Human Review & Approval
0%
Audit-Controlled Operations
0%
Governed Data Access

Client Profile

A healthcare provider in Singapore focused on medical billing, claims administration, and denial resolution. Softree proposed an AI agent to organize claim evidence, retrieve payer requirements, support denial investigations, and help billing specialists prioritize cases.

Use Cases
AI Agents, Healthcare Operations, Claims Processing, Denial Resolution
Industry
Healthcare
Project Type
Healthcare Billing & Denial Resolution Automation
Scale of Operation
Healthcare billing operations covering medical claims administration, payer requirements, supporting documentation, follow-ups, and denial resolution.
End Users
Billing Specialists & Claims Administration Teams
Service Provided
Agentic AI DevelopmentHealthcare AIRAG DevelopmentAI Workflow AutomationAI Integration
The Client Challenge

Business Process Challenges

The healthcare provider’s billing teams had to investigate claim denials by reviewing claim records, payer requirements, supporting documents, and previous communications across separate systems. Denial reasons could be unclear, documentation could be incomplete or inconsistent, and important follow-up deadlines could be missed when investigations depended on manual searches and handoffs.

Key challenges included:

  • Manual claim investigation: Billing specialists spent significant time reviewing rejected claims, claim history, and supporting records to understand the reason for each denial.
  • Incomplete documentation: Missing or inconsistent billing documents made it difficult to determine whether a claim contained sufficient evidence for further action.
  • Payer requirement discovery: Teams had to manually locate the applicable payer policies, billing requirements, and documentation guidelines for individual cases.
  • Follow-up management: Repeated payer follow-ups and deadline tracking created additional administrative work and increased the risk of overdue actions.
  • Complex case handling: Cases involving conflicting evidence, complex policy questions, or sensitive decisions required specialist review and appropriate audit trails.
Our Approach

Our Strategic Approach

Softree proposed an AI Healthcare Billing & Denial Resolution Agent using Amazon Bedrock, Amazon Bedrock AgentCore, and retrieval-augmented generation (RAG). The solution connects approved claims systems and document repositories with payer guidance to support structured investigations and route unresolved cases to billing specialists.

  • Claim context gathering: The agent retrieves authorized claim history, denial codes, previous communications, and supporting documents to establish a complete case context.
  • Payer requirement retrieval: RAG searches approved payer policies, billing guidance, and documentation requirements relevant to each claim.
  • Denial classification: The agent proposes a denial category, identifies missing or inconsistent evidence, and provides a summarized rationale with source references.
  • Follow-up preparation: The solution drafts document requests, payer follow-ups, and appeal preparation notes for billing specialists to review.
  • Specialist routing: Cases involving conflicting evidence, complex policy questions, or approaching deadlines are routed to authorized billing staff.
  • Controlled operations: Permissions, human review, monitoring, and audit logging govern sensitive claims data and downstream actions.
Our Solution Architecture

How we delivered it.

AB
Amazon Bedrock
Integrated Amazon Bedrock layer in the solution architecture.
ABA
Amazon Bedrock AgentCore
Integrated Amazon Bedrock AgentCore layer in the solution architecture.
R
RAG
Integrated RAG layer in the solution architecture.
KB
Knowledge Base
Integrated Knowledge Base layer in the solution architecture.
CA
Claims APIs
Integrated Claims APIs layer in the solution architecture.
DA
Document APIs
Integrated Document APIs layer in the solution architecture.
AI
AWS IAM
Integrated AWS IAM layer in the solution architecture.
AC
Amazon CloudWatch
Integrated Amazon CloudWatch layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

The proposed solution is designed to help billing teams spend less time searching through claim records and payer requirements and more time reviewing cases that require specialist attention. Structured summaries, source-linked payer guidance, and prepared follow-ups are intended to improve consistency and case visibility.

The proposed pilot targets improvements in:

  • Reduced manual effort when gathering claim history and payer requirements.
  • More consistent identification of missing or conflicting documentation.
  • Clearer prioritization of follow-ups based on urgency, status, and next action.
  • Faster preparation of denial summaries and draft communications.
  • Improved case visibility across ownership, status, follow-ups, and escalation.
Results & Business Impact

The numbers behind the rollout.

01
Human Review & Approval
100%
02
Audit-Controlled Operations
100%
03
Governed Data Access
100%
Reference Tech Stack

The full integration layer.

Amazon Bedrock
Amazon Bedrock AgentCore
RAG
Knowledge Base
Claims APIs
Document APIs
AWS IAM
Amazon CloudWatch
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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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