AI Support Assistant

SupportPilot AI

A customer support copilot that answers repetitive questions from a verified knowledge base, drafts responses for agents, and keeps handoff quality high during peak support hours.

Date

January 2026

Type

Support Automation

Client

SaaS Product Team

OpenAI RAG Supabase Zendesk API Analytics

Support

Project Overview

SupportPilot AI was created to reduce response pressure on fast-moving support teams without sacrificing answer quality. The assistant searches approved documentation, product notes, and policy pages before composing a response or suggesting the next best action.

The interface was designed to make AI assistance feel operationally safe: source visibility, confidence cues, and quick escalation paths are built directly into the workflow so human agents stay in control of the final message.

Technologies Used

OpenAI for grounded answer generation
RAG pipeline for source retrieval
Supabase for session memory and logs
Zendesk-style ticket integrations

Key Features

Knowledge Retrieval

Pulls relevant help center and internal documentation before composing an answer.

Reply Suggestions

Drafts on-brand responses that agents can edit, approve, or reject in seconds.

Escalation Logic

Detects billing, outage, or policy issues and sends them to the correct human queue.

Team Analytics

Tracks deflection rate, review speed, and recurring support themes over time.

Outcome

The concept shows how AI can work as a reliable second layer for support teams instead of replacing the operator experience.

Building a customer-facing AI assistant?

I design support flows that blend retrieval, guardrails, and human review into a product teams can launch confidently.

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