Maintenance transparency is achieved when all parties involved see the same, up-to-date snapshot - based on visual data. At IFME 2026, Autori will show how this is achieved in practice by combining image data, AI and operational control into a single operating model.
The IFME World Congress 9-11 June 2026 in Helsinki will bring together maintenance, municipal engineering and infrastructure experts from around the world. The event will focus in particular on digitalisation, asset management and sustainable cities. This year's event will also include the Municipal Technology Days 2026 of the Finnish Association of Municipal Engineering, which is celebrating its centenary.
What is the biggest challenge in maintenance today?
The key problem in maintenance is not the doing - it's the knowing.
Often the starting point in many organisations is typically:
- Information is in multiple systems
- items are located manually
- documentation is done after the job is done
- Decisions are made partly on the basis of judgement
In addition, inspections often require a physical presence on site, which:
- increases safety risks
- takes time away from expert work
- increases costs
➡️ The result is a gap in knowledge between what is seen, known and done.
How is visual data changing maintenance?
The way maintenance works changes when visual data is brought into the day-to-day operations.
Autori links:
- map-based visual data (2D, 360°, video)
- AI-assisted analytics
- operationalisation
In practice, this means:
- objects can be viewed remotely without a visit
- work can be planned in more detail before going to the field
- the same data is used for planning, execution and verification of the work
- all parties involved see the same snapshot of the situation
➡️Lopputulos: less unnecessary mileage, fewer errors, faster decision making
How much can field visits be reduced?
A visual data-based approach significantly reduces the need for physical inspections.
Autori Vista enables:
- inspect sites from the office
- making observations afterwards from image data
- more accurate preparation prior to the site visit
➡️It leads to:
- a reduction in unnecessary field visits
- better results from the first repair visit
- reduced CO₂ emissions
How does this work in practice?
Results:
- Nearly 1 million images used for decision making
- More than a million decisions in the use of data - daily data updates
- more than 8 000 360° images
Impacts:
- Reduced duplication of work
- Improved traceability of work
- decision making based on up-to-date data, not estimates
➡️ The system is used in day-to-day operational work - not a pilot.
How does digitalisation support cycle path maintenance?
Cycle infrastructure maintenance poses the same challenges as other infrastructure - but in a more pronounced way:
- higher safety requirements
- errors directly affect the user experience
- there are many sites and they change rapidly
In IFME, Keijo Pulkkinen of Autori will discuss, among other things:
- how data can be used to guide the maintenance of cycle paths
- how to use a visual snapshot to support prioritisation
- how digital tools can reduce manual work
➡️Samascalable to the whole infrastructure - not just individual sites
Where to find out more about Autori in IFME?
Autori will be present at IFME 2026 in Helsinki.
➡️Come to discuss at A2 stand:
- how to build a maintenance snapshot
- How to build a roadmap for the maintenance maintenance industry
- How to visualise the vision of the maintenance management system
How to get started?