Solution / AI

AI Customer Support Copilot

Cut support volume by giving customers an AI copilot that resolves the easy half of tickets.

/ Outcome

Launch outcome.

A retrieval-grounded copilot wired into the product, with handoff to humans when confidence is low.

/ System

/01

The problem

Support backlogs grow fast. Generic chatbots frustrate users and rarely resolve the ticket that actually matters.

  • Slow first response
  • Wrong answers
  • No handoff
  • No measurement

/02

The implementation

We integrate retrieval over your docs, ground every answer in citations, and route low-confidence cases to a human queue with full context.

  • Doc retrieval
  • Citation rendering
  • Confidence threshold
  • Ticket handoff
  • Logging

/03

Deliverables

A copilot UI inside your product, a handoff workflow for support, evaluation data, and a cost ceiling per tenant.

  • Embedded copilot
  • Handoff queue
  • Eval set
  • Cost dashboard
/ FAQ

Questions founders ask.

What if the copilot is wrong?

It hands off to humans below a confidence threshold. The full conversation and retrieved context follow the ticket.

Will this replace our support team?

No. It removes repetitive tickets so your team can focus on real product issues.

/ Services

Services that ship this

AI/INT

AI Integration

Assistants, retrieval, automations, and copilots that are observable, cost-capped, and useful.

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STARTUP/AAS

Startup-as-a-Service

Strategy, design, engineering, AI, cloud, and launch support from one operating team.

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/ Technologies

Stack involved

AI

OpenAI

Production AI features for assistants, RAG, tool use, summarization, and workflow automation.

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Frontend / full-stack

Next.js

Fast app-router websites, SaaS dashboards, CMS frontends, and product interfaces.

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Database

PostgreSQL

Reliable relational data for SaaS products, marketplaces, internal tools, and analytics loops.

Open page ->
/ Solutions

Other build paths

Solution / AI

Document Search with RAG

Make a SaaS product answer questions from its own documents instead of guessing.

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Solution / AI

Add AI to SaaS

Integrate AI into an existing SaaS product without adding fragile demos or uncontrolled cost.

Open page ->
/ Posts

Articles for this path

Article

AI Features That Ship Versus AI Features That Demo

Useful AI features need fallback paths, eval data, human review, and cost ceilings. The demo is only the start.

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Article

RAG vs Fine-Tuning for Startup Products

Why most startup AI features should start with retrieval, not fine-tuning, and when fine-tuning earns its place.

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/ Case study

Proof from the build floor

Field report

Northwind / AI Support Copilot

A B2B SaaS deflected half its support tickets with a retrieval-grounded copilot in six weeks.

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Plan my support copilot