TICKET MANAGEMENT
Generate an annotated rejection image when a completion photo fails review
When a job photo fails AI verification, this workflow generates an annotated reference image showing what a correct completion looks like, attaches it to the Monday work order.
How it runs
The automated pipeline, trigger to output.
- TriggerFailed photo posted to webhook with work-order IDHTTP webhook
- ActionList specific gaps with OpenAI visionOpenAI
- ActionGenerate annotated correct-completion reference imageImage generation
- ActionAttach reference image and gaps to Monday work ordermonday.com
- OutputSend tech a redo callback in SlackSlack
What it does
This workflow handles the failure path specifically. When a submitted completion photo is judged incomplete or out-of-scope by an OpenAI vision model, it generates a clean annotated reference image illustrating the expected finished state for that job type, posts that guidance onto the Monday work order, and pings the assigned technician in Slack with a concrete redo request.
When to use it
Use it when rejected jobs keep bouncing because techs do not understand what was wrong. Giving them a visual target alongside the rejection cuts repeat failures and second truck rolls.
How it works
- 1A webhook receives a photo that has already failed verification, with the work-order ID and job type.
- 2OpenAI vision produces a precise list of what is missing or incorrect.
- 3Generate-image creates an annotated reference image of the correct completed state for that job type.
- 4The reference image and the gap list are attached to the Monday work order.
- 5Slack sends the assigned tech a redo callback linking the work order.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect monday.comVisual work management for teams.
- 5Connect SlackChannels, DMs, threads, mentions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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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Creator
AI Image / Video Studio
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Run this workflow in your colony.
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