CHATBOTS
Reorder Assistant: Escalate Ambiguous Reorders to a Human
When a reorder request can't be matched to a single past order with confidence, the bot summarizes the customer's history and hands off to a human agent in Slack…
How it runs
The automated pipeline, trigger to output.
- TriggerReorder message received in IntercomIntercom
- ActionPull matching past orders from PostgresPostgres
- LogicScore match confidence and order value
- LogicBranch ambiguous or high-value to escalation
- ActionPost agent handoff with candidates to SlackSlack
- OutputLeave holding reply in Intercom threadIntercom
What it does
Keeps the bot from guessing on risky reorders. When a customer's request is ambiguous — multiple matching past orders, vague wording, or a high-value cart — the assistant stops, compiles the relevant order history, and routes a clean handoff to a human agent rather than placing the wrong order.
When to use it
For brands that want automation on the easy 80% of reorders but a safe human escape hatch for the ambiguous or high-stakes ones, protecting against wrong-item charges.
How it works
- 1A reorder message in Intercom triggers the flow.
- 2The flow pulls the customer's matching past orders from Postgres.
- 3Logic scores match confidence; a single clear match would continue to a normal reorder reply.
- 4Low-confidence or high-value requests branch to escalation.
- 5The flow assembles a summary of candidate orders, SKUs, and the customer's words.
- 6It posts the handoff to a Slack channel for agents and leaves the Intercom thread with a "a teammate is confirming this" holding reply.
Set it up
What you configure once, before turning it on.
- 1Connect IntercomConversations, contacts, articles.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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