CUSTOMER SUPPORT

Outlook SLA Triage Agent + Auto-Classifier

An agent reads each incoming Outlook support email, classifies intent and urgency, sets the matching SLA tier, drafts a first-response acknowledgement for agent review.

CategoryCustomer Support
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in Outlook support mailboxOutlook
  • ActionAgent classifies intent, urgency, and SLA tierOpenAI
  • ActionDraft first-response acknowledgement in OutlookOutlook
  • ActionLog triage decision + deadline to Airtable boardAirtableAirtable
  • OutputAnnounce urgent threads to Slack triage channelSlack

What it does

This workflow puts an AI triage agent in front of the SLA clock. Rather than applying one flat deadline, it reads each new support email, classifies what it is about and how urgent it is, and assigns the SLA tier that fits. It also drafts a tailored first-response acknowledgement so an agent can reply within seconds, protecting first-response time on the hardest threads.

When to use it

Use it when inbound volume is high and mixed, and a uniform SLA either over-serves trivial mail or under-serves urgent issues. The agent does the judgment a human triager would, so the right clock starts on every thread and acknowledgements go out fast.

How it works

  1. 1A new Outlook support email triggers the run.
  2. 2The agent reads the message and classifies intent, sentiment, and urgency, then maps it to an SLA tier.
  3. 3It drafts a context-aware first-response acknowledgement as an Outlook draft for agent review and send.
  4. 4It logs the thread, classification, and SLA deadline to the Airtable breach-tracking board.
  5. 5Urgent classifications are announced to the support triage Slack channel for immediate pickup.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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