A leading U.S. healthcare payment facilitator and insurance enterprise needed a more efficient way to provide access to enterprise knowledge spread across multiple repositories. HealthAsyst designed and developed a secure AI-powered support chatbot that reduced query resolution time by 50%.

The Need

As information volume grew across documents, databases, and enterprise systems, support teams struggled to access and retrieve accurate information quickly.
The organization needed to:

  • Reduce support response times
  • Improve knowledge discoverability
  • Control operational costs
  • Scale support operations efficiently
  • Maintain security and governance standards

The Challenge

Several operational issues made support delivery increasingly difficult:

  • Information existed across PDFs, databases, and documents
  • Data access lacked a unified experience
  • More than 1,000 production issues per month created a significant operational burden
  • Traditional support processes became difficult to scale
  • Knowledge retrieval relied heavily on manual effort

Who This Is For

  • Healthcare payers
  • Health plans
  • Healthcare technology companies
  • Enterprise support teams
  • Product and engineering leaders
  • CIOs and IT leaders

Key Outcomes at a Glance

  • 50% reduction in query resolution time
  • 50–70% reduction in manual query handling effort
  • 30% reduction in support costs through automation
  • ROI achieved within 3 months

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