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AI customer support knowledge agent — interactive preview

Pick a sample on the left. Watch the workflow run. Inspect the structured output. This is a mock — real builds adapt to your tools and data.

Samples

Workflow

Each step is mocked with a fixed delay so you can see the shape of the pipeline.

  1. 01
    Ground on your knowledge
    Index help center, runbooks, past tickets, changelogs, and product schema.
  2. 02
    Answer with citations
    Every response links back to the source. If grounding is weak, the agent escalates.
  3. 03
    Draft, do not auto-send
    Defaults to draft mode for human approval. Auto-send unlocks per topic once accuracy is proven.
  4. 04
    Learn from outcomes
    Resolved threads feed back into the index so the agent stays current with the product.

Preview

Sample input

Customer ticket #4821

Why was I charged twice this month? I only have one seat.

Plan
Team — 1 seat
Channel
Intercom
Structured output

Awaiting run…

Pick a sample and run the workflow to see structured output.

Integrations

  • Intercom
  • Zendesk
  • Front
  • HelpScout
  • Linear
  • Notion
  • GitHub

Mock preview. No data leaves your browser. Real implementations are customized to your tools, data, and workflows.

Adapt this workflow to your tools

What you saw above is a mock. Real implementations plug into your data, tools, and approval rules. Book an opportunity audit and we will scope what shipping a system like this looks like for your team.