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SaaS / AI & automation / Case study

Customer Support AI Assistant

Project details

Services

AI strategyKnowledge integrationApplication development

Technology

Next.js: Combined the customer chat experience, support controls, and server-side retrieval workflow in one application.

OpenAI API: Generated clear answers from retrieved company knowledge while preserving source references.

pgvector: Enabled semantic search across documentation, help-center articles, and product updates.

PostgreSQL: Stored document metadata, permissions, conversation feedback, and escalation history.

Challenge

A SaaS company's support team answered the same 20 questions hundreds of times every month. Customers waited for simple answers while support engineers spent valuable time handling repetitive tickets instead of solving complex issues.

Solution

We connected the company's documentation, help center, and product knowledge into an AI-powered support assistant capable of answering common customer questions instantly.

Impact

Reduced median first-response time from 2 hours 14 minutes to 38 seconds.
Automated 68% of repetitive tier-one support questions.
Returned 11 support-engineer hours per week to higher-value issues.

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