Manufacturing Engineer
Work Instruction Development
What You Do Today
Write and maintain work instructions that operators follow — step-by-step procedures with photos, specs, and quality checkpoints. They need to be clear enough that a new operator can follow them on day one.
AI That Applies
AI that generates work instruction drafts from process videos, CAD models, and BOM data. Computer vision that creates step-by-step visual guides from production footage.
Technologies
How It Works
The system ingests production footage as its primary data source. A language model processes the input by identifying relevant context, generating appropriate responses, and structuring the output to match the expected format and domain conventions. The output — work instruction drafts from process videos — surfaces in the existing workflow where the practitioner can review and act on it. The critical details — the 'be careful here because.
What Changes
Work instructions draft themselves from your process video. The AI captures each step, generates annotated images, and creates the document structure you'd build manually.
What Stays
The critical details — the 'be careful here because...' notes, the quality check that catches the defect before it leaves the station, and the tribal knowledge that no video captures.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for work instruction development, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long work instruction development takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“Which training programs have the highest completion rates, and which have the lowest — what's different?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“How do we currently assess whether training actually changed behavior on the job?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.