AI AGENTS

Scanned Badge Photo to CRM Lead

Reads a photographed conference badge with OCR, extracts the contact fields, and creates a clean, deduplicated lead in your CRM with a Slack confirmation.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBadge photo uploadedHTTP webhook
  • ActionStore image for audit trailAWS S3
  • ActionOCR badge into structured fieldsOpenAI
  • LogicValidate email and dedupe against CRM
  • ActionCreate or update contact in CRMAttio
  • OutputPost parsed lead summary to SlackSlack

What it does

Converts a phone photo of a paper badge into a structured CRM lead. The pipeline runs OCR on the image, parses out name, company, title, and email, deduplicates against existing records, and creates or updates the contact so your post-show list is clean instead of a pile of photos.

When to use it

Use it when your booth captures leads by snapping badge photos rather than using a scanner SDK. Ideal for smaller shows or partner events where staff collect badges on their phones and need them in the CRM the same day.

How it works

  1. 1A staff member uploads a badge photo, triggering the workflow.
  2. 2The image is stored in object storage for an audit trail.
  3. 3An OCR/vision model reads the badge and extracts structured contact fields.
  4. 4A logic step validates the email and checks the CRM for an existing match.
  5. 5Matched records are updated; new ones are created in Attio with a 'trade-show' source tag.
  6. 6A summary line with the parsed fields is posted to Slack for quick correction if OCR missed anything.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect AWS S3Buckets, objects, signed URLs.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AttioReal-time CRM with structured data + powerful views.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  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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