AI that turns quality control from bottleneck to booster

As service contracts grow thicker every year, quality control easily becomes the narrowest part of the pipeline – especially for a company like Dafo Brand, delivering complete fire safety solutions with both advanced systems and ongoing service.

Together we have built an AI‑driven solution that scans service reports against contracts, highlights deviations – and gives the QA team decision support in seconds instead of hours.

Client: Dafo Brand
Industry: Fire safety, service & maintenance
Solution area: AI & Data

Manual review that ate up the time

Dafo Brand was stuck with a quality process that couldn’t keep up with the pace of the business. Every completed service job had to be:

Compared against contracts and customer‑specific terms
Cross‑checked against several contract databases
Approved by the QA team before an invoice could be sent

The result was long lead times, recurring bottlenecks at headquarters, and far too much time spent on administrative checks instead of developing the business.

Cross‑functional AI push in three weeks

HiQ assembled an international team of AI engineers, data scientists, API developers and business developers. Together with Dafo Brand’s service staff and QA function, they mapped real needs and everyday workflows – not just how the process looked on paper.

After interviews and analysis of Dafo Brand’s databases, the most important data sources were identified. From there, a first version was built where a Large Language Model:

Interprets and structures service reports
Matches the content against relevant contractual terms
Generates clear deviations and summaries for the QA team

The solution combines rule‑based logic where things must be exact, with AI‑generated text that surfaces what requires human judgement. In three weeks, the project went from idea to a working prototype.

Quality assurance in real time – without extra headcount

Today, the prototype is a natural part of Dafo Brand’s quality work. The QA team gets:

an initial quality assessment in seconds instead of hours
consistent deviation reports that are easy to act on
more time for follow‑up and improvement, less time in Excel and email threads

The solution is also built to scale. New data sources and additional parts of the quality process can be connected without Dafo Brand having to grow its administrative organisation.v kvalitetsprocessen kan kopplas på utan att Dafo Brand behöver växa i administration.

Why this way of working with AI works

The project shows how a sharp but well‑scoped use of modern AI technology can create concrete business value in a short time. The key was the combination of:

Domain understanding and data analysis – starting from real QA challenges, not from the technology
Robust API and system design – ensuring the solution plays nicely with existing databases and tools
LLM expertise – to handle large volumes of unstructured text without losing precision
An agile way of working – with frequent check‑ins where the QA team was in the driver’s seat throughout

Together with Dafo Brand, HiQ has shown how AI can do more than streamline a process – it can make quality control faster, smarter, and ready for the next step in digitalisation.n.

Join the team