Resource · Buyer's guide
How to choose an AI copilot for industrial maintenance
Generic chatbots weren't designed for safety-critical operations. Here are the five criteria that matter most when evaluating an industrial AI copilot — and why purpose-built beats general-purpose.
Use-case fit
Does it solve real problems for maintenance technicians, field service or operators — or is it a generic chatbot with industrial branding? Look for purpose-built capabilities like procedure generation and error-code explanation.
Source citation
Can it show exactly where every answer comes from — the page, section or video timestamp? Traceability is essential in safety-critical environments, and it's what lets technicians trust the answer.
Data-source compatibility
Does it work with your existing content — PDFs, videos, Word documents, scanned and legacy formats — without forcing you to restructure everything first?
Enterprise security
Does it offer the security and compliance your organization requires — encryption, access controls, audit trails, and a clear stance that your data is never used to train public models?
Integration capabilities
Can it connect to your CMMS, ERP or ticketing systems? Look for support for the maintenance systems you already run, such as SAP, IBM Maximo and Fiix.
Why purpose-built beats general-purpose
A general chatbot answers from internet-scale training data, can't cite your manuals, and may confidently produce wrong procedures. A purpose-built copilot like VSight Nova grounds every answer in your documentation, cites the source, generates executable procedures, and integrates with the systems your team already uses. See the detailed Nova vs. generic AI comparison.
Frequently Asked Questions
What's the difference between an AI copilot and a chatbot?
A chatbot answers from general training data with no traceability. An industrial AI copilot answers only from your connected documentation, cites the exact source, and can turn answers into executable procedures — making it safe to use in maintenance and operations.
Do we need to restructure our documents first?
The best tools work with your existing content — including scanned and legacy PDFs — as-is. Preparing your documentation helps (see our AI-readiness checklist), but you shouldn't have to rebuild everything to get started.
How important is source citation?
Critical. In safety-critical work, an answer you can't verify is a liability. Source citation lets technicians confirm the guidance and gives auditors a trail.
See how Nova meets these criteria
Book a demo and bring your own documentation to see Nova in action.