CHATBOTS

Voice IVR order-status lookup with HubSpot deflection logging

Verifies the caller against HubSpot, lets the ElevenLabs agent read back live order status so the call self-resolves.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerElevenLabs posts order-lookup webhook mid-callElevenLabsElevenLabs
  • ActionMatch caller and order in HubSpotHubSpotHubSpot
  • LogicConfirm contact and order match found
  • ActionLog resolved call to PostgresPostgreSQLPostgres
  • OutputAppend interaction to HubSpot contact timelineHubSpotHubSpot

What it does

Handles the single most common support call — "where's my order?" — entirely by voice. The flow identifies the caller, pulls their order state, lets the agent speak it back, and records the resolved call against the customer record so reps see the history.

When to use it

Use it when order-status questions dominate your call volume and the data already lives in HubSpot. It deflects those calls without a human, while keeping a clean audit trail on each contact so future tickets have context.

How it works

  1. 1The ElevenLabs agent posts a webhook mid-call requesting an order lookup with the caller's phone or email.
  2. 2The flow queries HubSpot to match the contact and most recent order.
  3. 3A logic step confirms a match was found before returning data to the agent.
  4. 4The order status is sent back so the voice agent can read it to the caller.
  5. 5On call end the resolved interaction is logged to Postgres and appended to the HubSpot contact timeline.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ElevenLabsText-to-speech, voice cloning.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  4. 4
    Connect PostgresAny Postgres URL — query, write, migrate.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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