
Support Pilot
Multichannel AI Customer Assistant
Story
Problem
Customer support teams often drown in repetitive inquiries across multiple channels — email, live chat, social, and internal helpdesks. Agents switch between tools constantly, losing context and wasting time. As ticket volume grows, first-response times increase, queues pile up, and customers become frustrated long before anyone replies.
Most companies try to fix this by hiring more support agents or building complex FAQ pages, but neither solves the underlying issue: customers want instant, accurate answers, and support teams can’t scale at the same speed. Without a unified knowledge layer and real-time automation, support becomes slow, expensive, and inconsistent.
Solution
SupportPilot introduced an AI assistant trained on the company’s internal documentation, email archives, product specs, and previous tickets. The system replies automatically to routine questions, drafts responses for agents, and unifies all channels into a single AI-driven inbox.
The assistant understands context, follows brand tone, and escalates only complex cases to humans. Agents now focus on high-value conversations while the AI handles the bulk of repetitive requests. Queues shrink, response times drop, and customers get the instant clarity they expect.
With SupportPilot, customer support shifted from reactive firefighting to a calm, predictable workflow where AI resolves the routine and humans handle the meaningful.
Summary
Industry
Customer Support / SaaS
Stack
Node.js, Vector DB (Pinecone), OpenAI GPT-4/5 models, Zendesk & Intercom API integrations
Timeline
6 weeks including data ingestion, training, and full deployment
Services
Multichannel Integration
Knowledge Base Engineering
Gallery
Review
Laura Bennett
Customer Success Lead






