TICKET MANAGEMENT

Score new Monday completion photos and archive verified evidence to S3

On a schedule, scans Monday work orders awaiting verification, scores each attached completion photo with an AI vision model, advances passing jobs.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionFetch Monday items in Awaiting Verificationmonday.com
  • ActionScore each photo against checklist with OpenAI visionOpenAI
  • LogicKeep items above pass threshold
  • ActionAdvance passing items to Verified in Mondaymonday.com
  • OutputArchive approved photo to S3 evidence bucketAWS S3

What it does

This batch job sweeps Monday.com for work orders sitting in an Awaiting Verification status. For each one it grades the attached completion photo with an OpenAI vision model against the job's checklist, advances passing orders to Verified, and copies the approved image into a date-partitioned S3 bucket so there is a durable audit trail separate from the work-order tool.

When to use it

Use it when verification does not need to be instant but you do need a defensible archive of completion evidence for warranty disputes, compliance, or insurance claims, and you want it handled in one nightly pass rather than per-job.

How it works

  1. 1A scheduled trigger fires (e.g. nightly).
  2. 2Monday is queried for items in Awaiting Verification with attached photos.
  3. 3OpenAI vision scores each photo against the job checklist.
  4. 4A logic branch keeps only items that pass the score threshold.
  5. 5Passing items are moved to Verified in Monday.
  6. 6The approved photo is uploaded to a partitioned S3 evidence bucket.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect monday.comVisual work management for teams.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  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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