LearnCyrenza

4.3

Walkthrough — Operations Manager

45 min

Meet Jennifer, Operations Manager at a 75-person logistics company

  • Oversees warehouse, shipping, and inventory management
  • Tasks: process improvement, team coordination, vendor management, KPI reporting
  • Pain points: documenting processes, training new hires, coordinating across departments

The Before State

  • Process documentation is outdated or doesn't exist
  • Tribal knowledge lives in people's heads (risky when someone leaves)
  • Spends 10+ hours per month answering the same questions from different people
  • KPI reports are manual, time-consuming, and often out of date

Knowledge Base Setup

  • Folder structure: Operations/[Function]/[Processes|Training|Metrics|Projects]
    • Functions: Receiving, Warehousing, Shipping, Inventory, Vendors
  • File naming: Function_DocType_ProcessName_Version_Date
  • Context documents:
    • Standard Operating Procedures (SOPs) for each major process
    • FAQ document by function (updated monthly based on actual questions received)
    • Vendor contact sheet and SLA summary
    • Team responsibilities matrix (who owns what)
    • KPI definitions and calculation methods

Tool Integration Choices

  • Email AI for team and vendor communication
  • Project management tool with no AI (team prefers manual task tracking)
  • Standalone AI for process documentation and training material creation
  • Excel AI for KPI analysis and narrative

Three Core Workflows

Workflow 1: Creating/Updating Standard Operating Procedures

  1. Process changes due to new software, vendor, or efficiency improvement
  2. Document current state by shadowing team members, taking notes
  3. Use AI to draft initial SOP: "Create an SOP for this warehouse receiving process: [paste notes]. Format: purpose, scope, step-by-step instructions, quality checks, troubleshooting."
  4. Review AI draft with team members who do the work
  5. Revise based on feedback (AI often misses nuances, edge cases)
  6. Add visuals (photos, diagrams) manually
  7. Use AI to generate training quiz questions based on SOP
  8. Publish to shared drive, announce to team

Workflow 2: Answering Recurring Questions

  1. Notice same question being asked repeatedly (e.g., "How do we handle damaged inventory?")
  2. Review existing documentation or create answer if none exists
  3. Use AI to draft FAQ entry: "Write a clear, concise answer to: [question]. Context: [relevant SOP or policy]. Audience: warehouse staff. Tone: friendly, practical."
  4. Review AI draft, simplify language if needed
  5. Add to FAQ document
  6. Next time question is asked, send FAQ link instead of re-explaining
  7. Monthly: review FAQ for most common questions, consider creating formal training

Workflow 3: Weekly Operations Report

  1. Pull KPIs from systems (shipments, inventory accuracy, order fill rate, etc.)
  2. Calculate week-over-week and target variance
  3. Use AI to draft report narrative: "Summarize this operations data [paste table]. Context: [link to KPI definitions doc]. Focus on: anything off target, trends, recommended actions."
  4. Review AI summary, add operational context it couldn't know:
    • "Fill rate down because of supplier delay on Product X"
    • "Overtime up due to unexpected large order from Key Customer Y"
  5. Use AI to suggest talking points for leadership meeting
  6. Format report, add charts manually
  7. Distribute to management team

Quality Control Checklist

  • Does the SOP accurately reflect how the work is actually done (not how I think it's done)?
  • Have I validated the process documentation with the people who do it daily?
  • Is the FAQ answer clear enough that someone could follow it without asking for help?
  • Do the KPI trends in my narrative match the actual numbers?
  • Are my recommendations practical and actionable, not just AI-generated generic advice?
  • Would a new employee understand this documentation?

The After State

  • Saves ~8 hours per month on process documentation and reporting
  • New hire onboarding time cut by 30% (better training materials)
  • Team asks fewer repeat questions (FAQ is comprehensive and current)
  • Leadership reports are clearer and more actionable
  • Still manually handles sensitive HR issues and vendor negotiations

Common Mistakes for Operations Managers

  • Letting AI write SOPs without validating with frontline workers (misses reality)
  • Using AI-generated KPI explanations without operational context
  • Not maintaining FAQ document (AI needs reference material)
  • Assuming AI understands your specific operational constraints
  • Over-documenting processes that change frequently (documentation debt)