A procedure in 40 seconds instead of 18 minutes – a knowledge assistant for production engineers
Industrial manufacturing

A procedure in 40 seconds instead of 18 minutes – a knowledge assistant for production engineers

Production engineers lost more than two hours a day searching for current procedures among 4,500 documents accumulated over fifteen years. We implemented an AI assistant in Microsoft Teams that answers questions and always cites the source document. Finding a procedure now takes 40 seconds instead of 18 minutes.

Organisation size

65 employees, 1 production plant

Project length

8 weeks

Solution

AI assistant in Microsoft 365

Results

Measurable implementation results

40 s

to find a procedure (previously 18 min)

2 h

reclaimed daily by each engineer

91%

answer accuracy after the test period

Measured on questions from the twelve-engineer pilot group.

-80%

queries directed to the quality department

Challenge

Knowledge available within the company, yet difficult to find

Over fifteen years, the industrial components manufacturer accumulated around 4,500 documents: quality procedures, workstation instructions, process sheets, customer specifications and audit reports. The documentation was spread across several repositories and folders maintained by different departments.

Production engineers regularly struggled to establish which version of a procedure was current and often had to ask colleagues for help. Measurements showed that a single search took 18 minutes on average – with eight queries a day, almost two and a half hours of an engineer's time.

Two earlier attempts to organise the documentation were halted midway, as each department followed its own naming conventions. Management needed a solution that would deliver results without a months-long reorganisation of the archive.

What we did

A knowledge assistant that works with existing documentation

Together with the quality department, we identified 1,200 documents of key importance to day-to-day work – current procedures, instructions and customer specifications. The remainder were added in a second phase. A central principle was to leave all documents in their existing locations, so that the rollout required no change to the team's habits.

The assistant is available in Microsoft Teams. An engineer asks a question in plain language – for example, about the dimensional tolerance for a specific product – and receives an answer together with a link to the source document. Each user can access only the documents permitted by their role.

For two weeks, a group of twelve engineers tested the solution while we steadily improved the quality of its answers. Once accuracy exceeded 91%, the assistant was made available to the entire plant, a process that took five days.

Business impact

Engineering time regained and procedures brought into order

Six weeks after launch, engineers reclaim two hours a day on average. Questions that previously required a colleague's help are answered in 40 seconds, and the quality department has recorded 80% fewer requests for the location of procedures.

The assistant also helped identify documents in need of updating, as different versions of the same procedures had coexisted in the archive. The company received a structured list of priorities based on employees' actual needs.

A quality audit conducted three months after rollout cited the solution as good practice. Management plans to apply the same approach to the sales department and the quotation archive.

“Two earlier attempts to organise our documentation stalled because every department wanted its own logic. Copilot Studio solved it differently — it accepted our chaos as a fact and learned to navigate it. We didn't have to agree on a structure — and that was the key.”
Production Director · Industrial components manufacturer, 65 employees

Other case studies

See how we solved similar challenges in other industries

Customer service

Booking a visit at any time – an online registration system for Galileo Medical

Galileo Medical needed online registration that shows patients the real availability of around seventy specialists working across several facilities and online. We designed and implemented a registration system integrated with the clinic's medical system. Patients choose a specialist, service and time slot on their own, and the appointment goes straight into the doctor's schedule.

Read case study
Documents and knowledge

Two more hours a day for substantive work – an AI assistant for a law firm

Lawyers began each day with an hour and a half of preliminary contract review, and its quality depended on the experience of the person handling the matter. We implemented an AI assistant within Microsoft 365 that highlights high-risk clauses and draws on the firm's earlier opinions. Each lawyer gains two hours a day, and client data remains fully protected.

Read case study
Business processes

Contract analysis in 25 minutes instead of 8 hours – an advantage in negotiations with payment providers

Every quarter, the finance team compared lengthy contracts from seven payment providers, and analysing a single contract took a full working day. We implemented an AI assistant that compares each new proposal with the current contract and calculates its actual cost based on the company's own data. Analysis now takes 25 minutes, and better-negotiated terms have delivered savings in the tens of thousands of euros.

Read case study

Contact

Describe the process you want to improve

Within 48 hours, we will provide an initial assessment of how it can be improved – based on our experience with similar implementations.

Business advisor discussing an AI implementation