Rank#859of 3,449
Evidence: Low25/100

Paynela automates healthcare payment adjudication with generative AI using Amazon Textract and Amazon Bedrock

Use case typeIntelligent document processingUpdated Jun 13, 2026

Paynela is a Puerto Rico-based healthcare financing company that helps patients manage out-of-pocket medical expenses and patient assistance program workflows. The company had a manual medical adjudication process that created backlog and delayed patient payments. Paynela combined OCR with Amazon Textract and Amazon Bedrock to analyze complex healthcare data and automate payment adjudications.

Organization
Paynela
Industry
Healthcare
Location
PR
Published
June 2026

Reported outcomes

Strategic outcomes

Speed & agilityAutomated payment adjudicationsScale & capacityReduced manual backlogCustomer experience & trustExpanded timely patient supportBetter decisions & insightEnabled deeper insights
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Paynela
Provider
AWS
Maturity
Unknown
Linked source
AWS Partner Success

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

  • 1Document Processing
  • 2Workflow Automation
  • 3Claims Processing
  • Manual adjudication created a large backlog.
  • Manual procedures delayed patient payments.
  • Paynela needed to automate payment adjudications.
  • Combined OCR with Amazon Textract and an LLM.
  • Used Amazon Bedrock for high-performing foundation models.
  • Built an efficient pipeline with AWS and Mission to analyze complex healthcare data.
Technologies
Amazon TextractAmazon Bedrock
  • Paynela was able to focus on strategy more than manual processes.
  • The solution reduced manual effort and backlog.
  • It expanded timely patient support and enabled deeper insights.
Sources & evidence1
Evidence: Low25/100Evidence strength
  • Customer explicitly identified
  • Technical implementation details available
Type: Partner StoryPublished: Jun 8, 2026Publisher: AWSEvidence: PartnerConfidence: High
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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