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Suvan
Concept project

AI Support Assistant

A support assistant that answers from a company's own documentation, cites its sources, and escalates to a human when confidence is low.

The challenge

Most support bots are deployed without a way to tell whether they are helping or quietly giving wrong answers — which is worse than having no bot at all.

What we built

  • Retrieval over the client's own documentation with source citation
  • Confidence scoring with automatic escalation to a human
  • Conversation history and handover context for the support agent
  • Admin dashboard of answered, escalated, and unanswered questions
  • Evaluation harness scoring answers against a reference set
  • Per-conversation token and cost monitoring

How we approached it

The assistant only answers from retrieved documents and always cites them, so any answer can be checked. Anything below the confidence threshold escalates with full context rather than guessing. The evaluation harness runs on every documentation change so accuracy regressions surface immediately.

What it demonstrates

Demonstrates how we ship AI responsibly: grounded answers, visible sources, measured accuracy, controlled cost, and a human path for everything the model should not handle.

Tell us the problem you're solving. We'll come back within one business day with an honest view on scope, timeline, and cost.