OTHER

Agent-driven voice report enrichment to Monday and Airtable

An agent transcribes a field voice memo, cross-references the open jobs in Monday to find the right match even from a fuzzy spoken reference.

CategoryOther
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew voice memo in Drive folderGoogle DriveGoogle Drive
  • ActionTranscribe recording with ElevenLabsElevenLabsElevenLabs
  • ActionAgent matches memo to open Monday jobmonday.com
  • ActionStructure report fields with OpenAIOpenAI
  • ActionUpdate matched Monday item with reportmonday.com
  • OutputWrite parts-and-labor row to Airtable billingAirtableAirtable

What it does

Technicians rarely say a clean job ID out loud. This agent-driven workflow transcribes the memo, then reasons over the open jobs in Monday to identify the right one from context — site name, customer, or work described. It writes the structured report onto that job and creates a matching parts-and-labor row in Airtable for the billing team.

When to use it

Use it when spoken references are messy and rigid matching fails too often, and you want one pass that both updates the job tracker and feeds the billing ledger.

How it works

  1. 1A new voice memo in the Drive folder triggers the run.
  2. 2ElevenLabs transcribes the recording.
  3. 3The agent reads open Monday jobs and reasons to match the memo to the correct item, asking for the best candidate when ambiguous.
  4. 4OpenAI structures the report into job, parts, and labor fields.
  5. 5The workflow updates the matched Monday item with the report.
  6. 6A parts-and-labor row is written to the Airtable billing base for invoicing.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect monday.comVisual work management for teams.
  5. 5
    Connect AirtableBases, tables, views, automations.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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