Automating Customer & Technician Support: 50% Faster Answers for Suncoast

Suncoast's technicians were constantly pulled off engineering work to field routine product and warranty questions. RTS Labs built a RAG-powered AI chatbot that answers instantly from Suncoast's own manuals, warranty docs, and product data — cutting average response time by 50% and resolving hundreds of inquiries every week.

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Case Study at a Glance
Client
Use Case

Conversational AI & Customer Support Automation

Tech Stack

Retrieval-Augmented Generation

OpenAI

Vector Search

Web Search Fallback

Time to Production
From brief to live deployment
0 weeks

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1. The Challenge

Suncoast’s highly skilled technicians were frequently interrupted by routine customer questions about product specs and warranty policies. Every inquiry pulled them away from high-value engineering and repair work, creating longer wait times for customers and lost productivity across teams.

The answers customers needed already existed — but they were scattered across technical manuals, warranty documentation, and product databases, making them slow to surface. Many inquiries ended in callbacks or long hold times, frustrating customers and compounding the drain on technical staff.

Technicians Interrupted

Highly skilled techs were repeatedly pulled off engineering and repair work to answer the same routine customer questions about specs and warranties.

Routine questions per week
0 +

Scattered Knowledge

Answers lived across technical manuals, warranty documentation, product databases, and web pages — making them slow and difficult to surface on demand.

Manuals, docs & web to search
0 sources

Hold-Time Drag

Many inquiries required callbacks or long hold times, frustrating customers and leaving no way to self-serve a simple answer like a torque spec.

Self-service answers available
0

2. The Engineer Approach

RTS Labs designed a conversational AI chatbot powered by retrieval-augmented generation (RAG). The bot retrieves verified answers directly from Suncoast’s technical manuals, warranty documentation, and product databases — and when a question falls outside those sources, it can safely perform a secondary web search to return an accurate, source-linked response. Every answer prioritizes Suncoast’s own trusted knowledge base first, and a built-in thumbs-up/down feedback loop drives continuous tuning.

  • Knowledge Base Ingestion

    Suncoast's technical manuals, warranty policies, and product documentation were ingested, chunked, and indexed into a vector store — creating a verified knowledge base the chatbot could retrieve from in real time.

  • RAG Orchestration & Safe Fallback

    A retrieval-augmented generation pipeline grounded every answer in Suncoast's own documents first. When internal sources lacked an answer, the bot performed a safe secondary web search — returning responses complete with source links so users always knew where an answer came from.

  • Broad Coverage & Source Transparency

    The bot was scoped to handle both technical questions (fluids, torque specs, product compatibility) and business questions (orders, warranties, returns), always citing source documents so users could verify accuracy and trust the response.

  • Feedback Loop & Iteration

    Thumbs-up/down ratings and free-text feedback on every interaction created a natural tuning loop, letting the model improve over time and laying the foundation to scale from proof-of-concept into a full customer-service AI assistant.

The key decision was making this document-first. Customers trust an answer most when it comes straight from Suncoast's own manuals, so we grounded every response in their knowledge base and only allowed a safe web-search fallback when the documents came up short — always with source links, so nothing is a black box.
Lead Engineer

3. Results & Impact

Faster Response Time
0 %
Inquiries Resolved Weekly
0 +
Expert Answers Available
0 /7
Time to Production
0 wks

Before RTS Labs

  • Misallocated Resources

    Technicians pulled off engineering work to field routine questions

  • Fragmented Data

    Answers scattered across manuals, documents, and web pages

  • Support Bottlenecks

    Customers waited on hold or for callbacks for simple specs

  • Zero Self-Service

    No self-service way to get instant, verified answers

After RTS Labs

  • 24/7 Availability

    Customers get expert answers instantly, any time of day

  • High-Value Engineering

    Technicians stay focused on complex repairs and development

  • Scalable Support

    Hundreds of routine inquiries resolved automatically each week

  • Verified Speed

    50% reduction in average response time, with source-linked answers

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