AI & RAG

Find the SOP gaps from unanswerable field-tech questions

Weekly, reviews the questions technicians asked that the Dropbox SOP corpus could not ground well, clusters the recurring themes.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly gap-analysis schedule fires
  • LogicFilter logged questions to low-confidence and declined ones
  • ActionConfirm coverage gaps against the Dropbox SOP corpusDropboxDropbox
  • ActionCluster and rank gap themes with OpenAIOpenAI
  • OutputEmail the prioritized gap report to ops lead in OutlookOutlook

What it does

Every question the corpus can't answer is a signal about missing documentation. This workflow looks back over a week of technician questions, isolates the ones where retrieval confidence was low or the bot declined to answer, clusters them into recurring topics, and produces a ranked list of SOPs worth writing or updating. The report goes to the operations lead by email so documentation effort targets real field demand.

When to use it

Use it to close the loop on your knowledge base — turning unanswered questions into a concrete content backlog instead of letting gaps recur silently. Run it alongside the answering workflow that logs question outcomes.

How it works

  1. 1A weekly schedule triggers the analysis.
  2. 2Low-confidence and declined questions from the logged history are pulled and matched against the Dropbox corpus to confirm coverage gaps.
  3. 3OpenAI clusters the questions into themes and ranks them by frequency and apparent urgency.
  4. 4A prioritized gap report with example questions is composed.
  5. 5The report is emailed to the operations lead via Outlook for assignment.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect OutlookMail, calendar, contacts.
  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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