AI & RAG

Escalate field-tech questions the SOP corpus can't confidently answer

Answers technician emails from the Dropbox SOP library when grounding is strong, and when retrieval confidence is low it escalates the question to the on-call subject-matter…

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew technician email arrives in OutlookOutlook
  • ActionRetrieve SOP passages and confidence scores from DropboxDropboxDropbox
  • LogicBranch on retrieval confidence threshold
  • ActionGenerate cited answer with OpenAI (high-confidence path)OpenAI
  • OutputReply in Outlook, or escalate to the expert in TeamsMicrosoft Teams

What it does

Not every question has a documented answer. This workflow scores how well the Dropbox SOP corpus actually covers each incoming technician question. High-confidence questions get an immediate cited reply in Outlook. Low-confidence ones are routed to a human expert in Microsoft Teams with the original question and the closest partial matches attached, so nobody gets a confidently wrong answer.

When to use it

Use it for safety-sensitive or compliance-heavy field work where a hallucinated procedure is worse than a slower human answer. It keeps automation fast on the common path and humans in the loop on the gaps.

How it works

  1. 1A technician email arrives in Outlook and starts the run.
  2. 2The question is retrieved against the Dropbox SOP index, returning passages and similarity scores.
  3. 3A confidence check decides the path: strong coverage answers automatically, weak coverage escalates.
  4. 4On the strong path, OpenAI writes a cited answer and Outlook replies with source links.
  5. 5On the weak path, the question and nearest passages are posted to the on-call expert channel in Teams.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect DropboxFiles and folders.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect Microsoft TeamsChannels, chats, files.
  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.

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