Content Generation · Listen + Read + Write

Generate SOP from voice notes

Augment Rep · Med Reason · High

The problem

Subject-matter experts know the procedure but hate writing it. SOPs go un-documented or stale. New hires repeat the same mistakes. Audits flag missing controls.

The AI approach

Voice memo → SOP draft. Expert recordings get transcribed, the LLM extracts steps + roles + decision points and reformats into the company SOP template. Expert reviews + signs.

The outcome

~10× faster

30 min interview → 5 min review → published SOP. Backlog clears in weeks instead of quarters.

Try itInput → Process → Output

Input — voice memo
▶
cooler-cleaning-walkthrough.m4a14:32 · khun-anan (warehouse lead)
Raw transcript (auto) "…ok so every Friday end of shift, you check the cooler temp first thing — should be under 4°C, if it's higher you don't proceed, you log it and tell maintenance. Uh, then take everything out, the inner shelves come out, you spray the food-safe degreaser, leave it 10 minutes. Um, the door gasket — you wipe with the green cloth, never the blue one, blue is for the meat side. And then, dry everything before you put it back, otherwise the temp logs jump…"
Process — AI pipeline
1Transcribe + diariseListenPredictive
2Extract steps + roles + checksReadGenerative
3Apply company SOP templateRulesSymbolic
4Rewrite into formal voiceWriteGenerative
Output — SOP draft (expert reviews)
Click Run demo to turn the voice memo into a structured SOP draft.
SOP-WH-014 · Weekly cooler cleaning
Owner WarehouseFrequency Weekly · Fri EOSDraft v0.1

Purpose

Maintain food-safe condition of cold storage and prevent temperature-log anomalies caused by residual moisture or organic build-up.

Pre-checks

  • Verify cooler temperature is < 4°C. If higher, do not proceed — log incident and notify Maintenance.

Procedure

  1. Remove all stock and inner shelves.
  2. Apply food-safe degreaser; allow 10 minutes dwell time.
  3. Wipe door gasket with the green cloth only — blue cloths are reserved for the meat side (cross-contamination control).
  4. Dry all surfaces fully before re-loading. Wet re-loading causes temp-log spikes.

Sign-off

Shift lead signs in the WMS log. Review by QA monthly.

Three AI types in this use case

SymbolicSOP template structure (purpose / scope / steps / approvals); policy-language guardrails.
PredictiveSTT transcription + speaker diarisation on the source recording.
GenerativeLLM rewrites the rough transcript into a formal numbered procedure with role assignments.

The stack

  • STT · Whisper-large with custom vocab
  • Extractor · LLM with SOP-template prompt
  • Templater · Jinja into company SOP form
  • Sink · SharePoint / Confluence + e-sign

When this works

  • SME can speak fluently about one procedure in 10–30 min
  • Company has a standard SOP template
  • SME reviews + signs — not auto-publish
  • Glossary captures domain terms (e.g. "WMS", "EOS")

When it fails

  • Multi-procedure interviews — output is muddled, split first
  • Heavy local-dialect / shop-floor noise — STT WER spikes
  • "Tribal" steps not articulated → SOP looks incomplete
  • Auto-publish without SME sign-off — wrong instruction goes live