AI agent for process engineers
Scale-Up Batch Record Deviation Review Agent
Each batch teaches the next, and recurring deviations are removed
What it does
Scale-up batches deviate from the target, and lessons are lost between batches. After each batch, this agent compares the record with the target process and lists the deviations, such as temperature, time or charge. It links each deviation to the quality results and finds the ones that matter. It proposes changes for the next batch. It then checks the following batch for the same deviation and whether the quality result improved. If not, it revises the proposal. The engineer approves changes. Edge case: two deviations happen at once, so the agent separates their effects using earlier batches before suggesting a fix.
How it works
Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.
Read the steps as a list
- A batch record is closed
- Load the batch record and the target process
- List deviations from the target
- Load the quality results and earlier batches
- Link deviations to quality outcomes
- Can the effect of each deviation be separated?If not: compare more earlier batches or flag it for a designed trial. Back to step 3.
- Propose changes for the next batch
- Engineer approves the changesThe agent waits here for your OK.
- Read the next batch record
- Did the deviation clear and the quality hold?If not: revise the proposal using both batches. Back to step 7.
- Lessons log updated
How it decides
A deviation matters when it exceeds its limit or correlates with a quality miss. A change is kept when the next batch holds the target.
- Flag deviations beyond the process limits
- Separate effects using at least 3 earlier batches
- Do not change two parameters at once without approval
- Check the next two batches before closing
Make it yours
Every agent is a starting point. You choose these settings for your own situation.
- Limits per parameter
- Batches before closing (default 2)
- Quality measures
- Report format
What keeps you in control
It always asks you first
- Changes to the process
Hard limits
- Never change the process itself
- Never discard a batch record
It stops when
- Done: deviation removed and quality holds
- Stop: batch records are incomplete
Set it up
We guide you through the set-up, step by step
Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.
- One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
- The agent then walks you through connecting your own data, one source at a time
- A downloadable copy with the flow chart, the rules and the full guide
