Manuel

Overview

Manuel is an AI assistant for installation companies, providing instant access to thousands of fault codes, guides, and maintenance tips for heat pumps and boilers. It enhances service quality and speeds up troubleshooting, ensuring consistent knowledge across teams.

From the official site

Manuel gives technicians and the service desk instant answers from manuals, fault codes and your own team knowledge — with source and page. No searching, no calling around, no solving the same fault twice.

The text above is quoted from this tool’s official website — the vendor’s own words.

Official FAQ

Why not just use ChatGPT or Google?

ChatGPT and Google are built to answer almost anything, from an open internet that was never checked against the appliance in front of you. Manuel is built specifically for technical installation and service work. It combines manufacturer documentation, product data and your own company knowledge, and provides answers with the technical source behind them.

How can technicians trust Manuel's answers?

Manuel grounds answers in verified technical information and shows the original source and page reference where available. That means technicians can verify an answer instead of relying on a black-box AI response.

Is Manuel only useful for faults and error codes?

No. Manuel supports the questions technicians encounter throughout the job: faults, parameters, manuals, schematics, parts, maintenance procedures and practical company knowledge.

What happens when Manuel doesn't know the answer?

We would rather show that knowledge is missing than invent an answer. Unanswered questions also help identify where documentation or company knowledge still needs to be added, so the knowledge base can become more complete over time.

How does Manuel become specific to our company?

We start with the technical environment your team actually works in: your equipment, relevant documentation and existing company knowledge. Historical work orders, internal instructions and practical technician knowledge can then be added to your private knowledge environment. You do not need to build or structure a knowledge base yourself before getting started.

How do you measure the 250–500 service hours?

We establish a baseline before rollout and compare it with the way technicians work after adopting Manuel. We look at metrics such as time to find technical answers, technical help calls, independent resolution and knowledge coverage. Where reliable operational data is available, we can also include first-time-fix and repeat visits.

These questions and answers come from the tool’s own structured data, not written by us.