Shop Floor Intelligence
Manufacturing
AI-Powered Shop Floor Assistant: From Machine Fault to Cited Fix
Supervisors describe the fault in plain language and get an answer cited to your own SOPs. When the procedure itself is wrong, the assistant proves it and proposes the correction.
Request a DemoFully Automated: From Machine Fault to Verified Fix and a Corrected Procedure
An AI shop floor assistant for end-to-end fault resolution: retrieval, diagnosis, evidence capture, and SOP correction in one governed loop.
1 .
Knowledge Base Connection
Connect your existing database and upload SOPs, machine manuals and maintenance documentation into a single searchable knowledge base.
2 .
AI Document Classification and Tagging
When a document is ingested, AI identifies which machinery it governs and tags it by function. Retrieval is then scoped to the right asset instead of searching the whole library.
3 .
Plain-Language Fault Diagnosis
A supervisor describes the fault in their own words. The assistant answers from the connected manuals and SOPs and cites the source document on every response.
4 .
Tool Guidance and Experience Capture
Ask which tools the repair needs, then mark the resolution and store it as experience. The next time the same fault appears, the AI maintenance troubleshooting assistant starts from a known answer.
5 .
Pattern Detection Across History
Every query, resolution, and escalation is kept. The system reads across all of it to find repeat failures, contradictions in the SOPs, and gaps in operator training.
6 .
SOP and Training Updates
Where evidence contradicts a documented procedure, the assistant proposes a corrected SOP and updates the training module, stating what changed and why.
Turn Worker, Supervisor, Engineer, and PDF Into One Cited Answer
Cut the escalation chain, capture what your teams already know, and reduce machine downtime with AI that finds out which procedures are quietly wrong.
Cited
Every response linked to its source manual
Scoped
Documents tagged to machine and function on upload.
Evidence-Based
Repeat failures flagged against the procedure
Self-Updating
Training modules revised with a stated reason
Shop Floor Intelligence for Every Stage
The AI shop floor assistant covers every stage, from document ingestion to a corrected procedure and a revised training module.
Knowledge Base with Automatic Classification
Connect your database and upload SOPs, manuals and maintenance documentation. AI identifies which machinery each document governs and adds function-level tags. The result is a library of digital work instructions AI can scope to the exact asset in front of the supervisor, not the whole corpus.
Cited Fault Diagnosis in Plain Language
Working as an AI machine troubleshooting assistant, it takes a supervisor's own description of what is happening and builds an answer from the connected manuals. The source document is cited, so the instruction can be checked before anyone acts on it.
Experience Capture and Searchable History
Resolutions can be marked and stored as experience. Every conversation is kept with the issue, the fix, and whether it was solved or escalated. This is shop floor knowledge management AI that turns what the floor knows but never wrote down into something the next shift can search
AI Insights: Contradictions, Gaps and Corrective Plans
The insight layer works as SOP management AI. It reads across history to find three things: training gaps no SOP covers, contradictions between documented and observed values, and corrective plans that link repeat faults to their probable cause
Transform Your Shop Floor Knowledge Governance
Controls that make an AI-generated instruction safe to act on next to a running machine.
Only what your plant has approved.
Answers Constrained to Approved Documentation
Responses come from your uploaded SOPs and manuals, not general model knowledge, so the assistant cannot make up a procedure your plant has not approved.
Check it before you act.
Source Citation on Every Response
Each answer names the document it came from. A supervisor can check the instruction against the manual before acting instead of simply trusting the output.
Every conversation has an outcome.
Solved-or-Escalated Recording
Every conversation is kept with its outcome, either resolved on the floor or escalated. That gives a complete record of what was asked, what was advised, and how it ended
No change without a reason.
Evidence-Based Change Proposals
SOP revisions are raised against observed evidence and carry a stated reason for the change, so no procedure is changed without a traceable justification.
You Don't Need Four People and a PDF Search to Fix a Machine
An AI shop floor assistant that answers from your own documentation and learns from every fault your floor reports.
One Cited Answer, Not Four Hops
The chain from worker to supervisor to engineer to PDF collapses into one cited response, so the line waits on one answer instead of three people.
Answers Bounded by Your Own SOPs
Whatever governance your procedures already encode, the answers follow it too.
SOPs That Get Caught When They're Wrong
When a machine holds at 4.2 bars and the SOP says 3.8, the contradiction is flagged along with the correct measure. A failure that keeps coming back even when the procedure is followed counts as evidence against the document.
Every Question Becomes Evidence
Three technicians asking the same unanswered question aren't three tickets. Together they prove a training gap, and that becomes input for correcting your training
Secure Your Shop Floor Knowledge Base
See how supervisors get cited answers in minutes, and how your SOPs correct themselves.
Engagement Models Designed for Scalable AI & Data Delivery
Choose the model that fits your goals and let NeenOpal deliver scalable, enterprise-grade solutions with predictable outcomes.
Managed Team
A dedicated NeenOpal team handles your project end-to-end, from strategy and planning through deployment. Request Strategy Session
Staff Augmentation
Add NeenOpal AI, data, and cloud-certified experts to your team, scaling capabilities quickly when your projects demand it
Fixed Cost
Defined scope, fixed pricing, and structured milestones ensure your project is delivered on time and within budget
Frequently Asked Questions
Everything you need to know about cited fault diagnosis, SOP correction and training-gap detection.
What is an AI shop floor assistant?
It is an AI assistant for manufacturing SOPs, built on a factory's own procedures, machine manuals, and maintenance documentation. Supervisors and operators describe a fault in plain language and get an answer drawn from those documents with the source cited. They don't have to escalate through colleagues or search PDFs.
What problems does it solve on the shop floor?
Two. Workers often don't have the relevant SOP to hand when a fault happens, and the SOPs that do exist are often out of date or wrong. The first costs time on every incident. The second causes failures that keep coming back even when the procedure is followed correctly.
How does resolving an issue work today, without it?
A worker who hits a problem goes to their supervisor, who may call an engineer or engineering head. Together they work through PDFs and SOPs to find a fix. Three people and a document search stand between the fault and the repair, and the line is down the whole time.
What documents can the assistant search?
Anything uploaded to the connected knowledge base: SOPs, machine manuals, maintenance documentation, and operational guidelines. On upload, each document is classified by the machinery it governs and tagged by function, so retrieval stays scoped to the relevant asset.
How do I know an answer is safe to act on?
Every response cites the source document it came from, so a supervisor can check the instruction against the manual before acting. Answers come only from your approved documentation, not from general model knowledge.
What happens when the SOP itself is wrong?
The assistant flags the contradiction. If a machine keeps holding at 4.2 bars while the SOP says 3.8, the discrepancy is flagged along with the correct measure. A repeat failure even when the procedure was followed is treated as evidence that the document needs revising.
How does it identify training gaps?
It reads across the whole conversation history instead of looking at each query on its own. When several technicians separately ask about a step no SOP covers, such as how and when to grease a particular stage, that pattern is flagged as a training gap, and the training module is updated.
Does it keep a record of what was asked and advised?
Yes. Every conversation is kept with the issue, the resolution, and whether it was solved on the floor or escalated. That history is an audit record, and it is also what the insight layer uses to spot recurring failures.
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