Case Study

From Knowledge and Information to Always-On, Intelligent Support

Industry Healthcare & Life Sciences (HLSe
Location United States
Platform Salesforce Agentforce
Engagement Customer Care Employee Agent Deployment
Always-On Intelligent Support
Unified Knowledge Retrieval
Enhanced Service Agent Productivity)
Improved First-Time ResolutionAutonomous Custom Agents Orchestrated
About the Client

A Leading Medical Device Manufacturer Driving Healthcare Innovation

The client is a leading medical device manufacturer operating within the Healthcare and Life Sciences (HLS) sector. They specialize in producing advanced healthcare technologies and intelligent solutions, requiring high-quality, highly accurate, and scalable support ecosystems to assist their users and customer care divisions.

The Challenge

Fragmented, unstructured data silos slowed support response times

To support their growing user base, the organization needed to deliver top-notch support at scale. However, critical information was trapped inside siloed storage environments, causing operational friction.

  • Vast, Unstructured Data: Critical data assets—spanning knowledge articles, historical case notes, detailed FAQs, and technical user guides—were completely unstructured.
  • Siloed Infrastructure: Information was spread across multiple isolated systems, making it highly inefficient for customer care agents to quickly locate accurate information.
  • Resolution Delays: Service agents spent excessive time manually hunting for answers across disparate platforms, impacting the overall speed and consistency of customer support.
The Solution

Unifying institutional knowledge with an autonomous Employee Agent

In close partnership with the client's Information Technology and Customer Care teams, a custom Customer Care Employee Agent was developed and deployed on Salesforce's AI Agentforce platform.

  • 01 / Centralized Knowledge Unification: Unified disparate knowledge repositories and historical case data across multiple distinct sources into a single, retrieval-ready data cloud.
  • 02 / Custom Search Indexing: Engineered custom search indexes tailored to the organization's unique vocabulary, technical terminology, and medical device documentation layout.
  • 03 / Advanced Data Retrieval: Implemented advanced data retrievers capable of parsing semantic context to surface instant, context-relevant insights for active inquiries.
  • 04 / End-to-End Data Traceability: Structured the query framework to provide full data traceability, ensuring support agents can instantly verify the underlying source document for any generated answer.
The Results

Scaling service capacity through intelligent data access

The rollout of the intelligent AI Agent successfully transformed the customer care division from a reactive search process into a streamlined, high-productivity support engine.

  • Eliminated Data Silos: Empowered customer care teams to rapidly find precise, relevant answers across previously siloed data sources.
  • Elevated Support Quality: Enabled service teams to deliver faster, more reliable, and noticeably higher-quality support to customers.
  • Accelerated Agent Time-to-Value: Drastically cut down onboarding and training timelines, allowing newly hired agents to hit the ground running immediately.
  • Optimized Resolution Efficiency: Maximized first-time resolution rates while scaling overall service capacity without expanding headcount burdens.