TICKET MANAGEMENT

Auto-verify job-completion photos and advance the Monday work order

When a field tech uploads completion photos to a webhook, an AI vision model checks they show the finished work.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerTech submits completion photo + work-order ID via webhookHTTP webhook
  • ActionClassify photo as pass/fail/unsure with OpenAI visionOpenAI
  • LogicBranch on verdict
  • ActionMove Monday work order to Verified on clear passmonday.com
  • OutputMove item to Needs Review with rationale on fail/unsuremonday.com

What it does

Field technicians submit a job-completion photo and a work-order ID to a webhook. The workflow runs the image through an OpenAI vision model that judges whether the photo actually shows completed, in-scope work (e.g. the installed unit, a closed panel, a clean site). Clear passes advance the Monday.com work order to a Verified status; ambiguous or failing photos get parked in a Needs Review status with the model's reasoning attached.

When to use it

Use it when dispatchers waste hours eyeballing every completion photo before they can close and invoice a job. It removes the manual first pass so humans only look at the genuinely unclear cases.

How it works

  1. 1A webhook receives the photo URL, work-order ID, and job type from the tech's mobile form.
  2. 2OpenAI vision classifies the image as pass / fail / unsure against the job-type criteria and returns a short rationale.
  3. 3A logic branch routes on the verdict.
  4. 4On a clear pass, the Monday item moves to Verified.
  5. 5On fail or unsure, the Monday item moves to Needs Review with the rationale written into an update.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect monday.comVisual work management for teams.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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