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AI Customer Service Copilot Generative AI & LLMs

A B2B SaaS support team was drowning in repetitive tickets while genuinely hard issues waited for a senior agent.

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Technology
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AI Customer Service Copilot

Client

TechSupport Pro

Industry

Technology

Service

Generative AI & LLMs

Stack

GPT-4, LangChain, Pinecone (vector DB)

01

Challenge

A B2B SaaS support team was drowning in repetitive tickets while genuinely hard issues waited for a senior agent.
AI Customer Service Copilot — slide 2
AI Customer Service Copilot — slide 3
AI Customer Service Copilot — slide 4
02

Build

We built an LLM copilot inside their existing helpdesk - it retrieves from a private knowledge base, drafts a cited reply in the company's voice, and lets the agent accept, edit, or discard. The AI never auto-responds, and it surfaces recurring-pattern insights to product.

03

Outcome

71% faster first response, 38% lower cost per ticket without cutting headcount, and 89% of AI drafts accepted with minor or no edits.

Deliverables

What the system does — functionality shipped.

  • 71% reduction in average first-response time. 38% reduction in cost per ticket without reducing headcount. 89% of AI drafts accepted with minor edits or no edits. Top-5 recurring ticket patterns surfaced monthly to engineering.

Technologies

GPT-4LangChainPinecone (vector DB)PostgresSlack + Zendesk integrationsStreaming responsesReactOpenAI embeddings

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