Answers any question about the operation
Counts, delays, week over week comparisons, ranked tables of drivers and routes, exportable to CSV. Every answer comes from the live database, not from general knowledge.
Field service knowledge base · industrial equipment
AI diagnostic assistant for industrial equipment service
When a senior technician leaves, part of what they know leaves with them. Clairevue builds an assistant your field service technicians diagnose with in plain language, and every repair adds to a structured knowledge base. It's not ChatGPT on your PDFs.
For machinery dealers and service teams: CNC, industrial equipment, after-sales service. Total price: US$25,000–35,000.
The problem
Technician knowledge loss is built into the business
The equipment is specialized, the failures vary widely, and most of the know-how sits with a few experienced people, or with the manufacturer.
Today
- Manuals, Drive folders, old emails, call logs
- Asking a more experienced technician
- Repeating the same tests and the same questions to the manufacturer
What you want
- Get new technicians productive faster
- Cut diagnostic time
- Keep the know-how when people leave
- Own your technical knowledge base
Technical support
Every fix becomes permanent knowledge
- Machine
- Symptom
- Tests done
- Diagnosis
- Cause
- Fix
- Parts replaced
The assistant identifies the machine, checks manuals and past service history, asks questions, skips tests already done, suggests causes and parts, and points to the right diagrams and procedures.
The offer
AI diagnostic assistant + field service knowledge base
Built with the sources you already have. You own the assistant and the knowledge base.
Total price
US$25,000–35,000
Built and deployed. The final figure depends on how many sources we connect and the integration scope. AI usage and hosting are extra, based on usage.
- Conversational assistant for diagnosis
- Connected sources (Drive, manuals, service history, useful email threads)
- Knowledge structure: Machine → … → Parts
- Interface to correct and improve the assistant over time
- Training for your service team
Proof
Already in production: an AI agent that runs on a logistics platform
For a delivery and fleet management software company, we built an AI assistant that sits inside their platform. It is connected to a large database holding the operations of their logistics customers: routes, drivers, jobs and deliveries. Managers, dispatchers and executives ask it questions in plain language, like “How many deliveries are left today?” or “Any trucks under capacity tomorrow?”, and it answers from the live data or acts in the software for them.
Handles multi-step questions
When a question needs several lookups chained together, it works through them step by step and returns one answer.
Takes action in the software
It calls the platform’s backend to generate and assign routes, add jobs and edit them, so users can do the work by asking.
Your diagnostic assistant is built the same way: connected to your own manuals, service history and past fixes, not a generic chatbot.
No client name on this page, out of respect for their product.
Industrial equipment service: keep the know-how in the shop
When a technician leaves, technical support starts over. The assistant keeps the machine, symptom, tests, cause and parts on record for the field service technicians who stay.
FAQ
Frequently asked questions
How is this different from ChatGPT on our PDFs?
It isn't a generic chatbot that reads documents. It's a diagnostic assistant that works through the problem step by step with the technician and writes a structured record (machine, symptom, tests, cause, parts) the whole service team can reuse.
How much does an AI diagnostic assistant cost?
US$25,000 to US$35,000 total, built and deployed, including the interface to correct and improve the assistant over time. The final figure depends on how many sources we connect and the integration scope. AI usage and hosting costs are extra and depend on usage.
How long does it take?
Usually 6 to 10 weeks, depending on how many sources we connect and how much time your senior technicians have to validate diagnoses.
Which sources does it work with (Drive, Gmail, manuals)?
Google Drive, Gmail, PDF manuals, ticket history and shop notes. We start with the sources you already use and add more later.
Who owns the knowledge base?
You do. The data, the structured service history and the deployed assistant stay with you.
What if the assistant suggests the wrong diagnosis?
It suggests; your technician decides. Each suggestion points to the manual pages and past repairs behind it, so the technician can check it. When a diagnosis turns out to be wrong, the technician corrects it in the correction interface, and that fix is saved for next time.
Who maintains it if we don't have in-house IT?
You don't need IT staff. Clairevue can host and maintain the assistant for you, so your team only uses it and corrects it when needed. Hosting and AI usage are billed separately, and we agree on support terms during scoping.
Is our data secure?
The assistant only connects to the sources you choose, and access is limited to your team. Your data is never used to train or improve anything for another company. Before launch, we document where it is hosted and who can access it.
Do we need an in-house data team?
No. Clairevue builds it with your technicians and your existing sources.
Let's scope your assistant
A 20-minute call. Price shown up front. No pressure.
Book a callOr email karim@clairevue.ai