Preparing experience

Technology

AI Support Automation

An AI-assisted support layer built on Claude and OpenAI that resolves routine tickets while routing complex cases to humans.

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Built with

Technologies and capabilities applied on this project.

Technology

  • OpenAI
  • Claude
  • vector search
  • CRM integration
The challenge

What the client was facing.

Support teams were overwhelmed by repetitive inquiries that required the same answers, slowing response times for high-value cases.

The solution

How WLC delivered.

WLC implemented retrieval-augmented generation over knowledge bases, CRM context and approval workflows—with human review for edge cases.

Case study project background
The outcome

What changed for the client.

The project delivered a measurable shift in how the team operates — with results that held up after launch.

Headline result

Technology

28% reduction in repetitive support tickets

Repetitive ticket volume dropped 28%, freeing agents for complex customer issues while maintaining quality through evaluation loops.

What this typically means for teams like yours

  • A measurable shift in day-to-day operations — not just a shipped feature list.
  • Systems and workflows the internal team can extend without starting over.
  • Clear documentation, handover and a delivery path for what comes next.
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