Questions and answers about property systems and management
The property industry demands order, overview and effective communication — and questions are often plentiful. On this page we have gathered common questions and answers about property management, property systems, case management, contract management and facility cleaning. Whether you are just starting to evaluate a new system or want to understand how your management can become more efficient, we hope you find what you are looking for here.
About property systems
What is a property management system?
A property management system is a digital tool for managing and administering properties and everything associated with them — such as lease agreements, premises and maintenance. It gathers information about the property portfolio in one single place, making it easier to keep track of contracts, payments, work orders and technical status. The system is primarily used by property owners, managers and operations staff to streamline day-to-day operations. Examples of common features include rent invoicing, fault reporting, planned maintenance and reporting.
What is the Pythagoras property system good at?
Pythagoras stands out in a number of ways:
The property is at the centre, not the tenant. All data — drawings, energy data, maintenance history, costs, contracts and facility cleaning — is linked to the building, floor or area, rather than to a person who happens to be using it at any given moment. This makes the system particularly well suited for municipalities, universities and industrial companies rather than residential property companies.
Visual and drawing-based interface. The interface is based on drawings and digital twins. You navigate through the property and find information where it belongs, instead of searching through lists and folders.
All-in-one solution in a single system. Case management, planned maintenance, contract management, energy monitoring and facility cleaning are all gathered in the same system, with an integrated app for field work.
Cloud-based and flexible. The system can be run entirely cloud-based on Swedish servers or as an on-premise solution on your own servers, and all modules are fully integrated but can also be used separately as needed.
Which modules are normally included in Pythagoras?
Pythagoras is a complete solution for property management but with flexible building blocks in the form of modules. We have modules for case management, inspection and maintenance, planned maintenance, rounds, surveys, contract management, cost allocation, energy monitoring and facility cleaning.
The customer's own property portfolio forms the basis of the interface as digital copies of reality. Therefore, there is also a drawing management module.
One could say that drawing management is always included as standard, since it is the foundation of Pythagoras and its greatest advantage. Without it, Pythagoras would be a property system like any other.
Most customers start with drawings and case management, contracts and facility cleaning, and later add more and more modules until everything is managed within Pythagoras.
Which other suppliers offer a visual property system with drawings at its core?
It is actually a fairly narrow segment. Most Swedish property systems are list-based and built around the tenant as the hub — not the property and its drawings.
However, a few players that deliver similar solutions are Faciliate (Service Works Global) and LEB.
About property management
How can a property system support property management?
There are a few clear areas where a system makes a real difference in practice:
Consolidated information — Instead of data about contracts, drawings, maintenance history and costs living in different folders, emails and systems, everything is in one place linked to the right building and area.
Case management — Fault reports from tenants or operations staff go directly into the system, where they can be prioritised, assigned and followed up — without getting stuck in email inboxes.
Planned maintenance — The system sends reminders about recurring checks, inspections and surveys. You move from reactive to proactive: addressing issues before they become urgent and costly.
Contract management — Lease agreements, service contracts and warranties are stored digitally with automatic reminders when something is due to expire or needs to be renegotiated.
Finance and cost monitoring — Costs can be tracked per building, floor or area, providing a better basis for budgets and negotiations.
Energy monitoring — Integrated support for measuring and analysing energy consumption, which is increasingly important from both an economic and sustainability perspective.
Mobility — Operations technicians in the field can receive work orders, check off tasks and document directly on their mobile, without having to go via the office.
Reporting and decision support — Management and property managers gain visibility into key figures, vacancies, costs and status without having to compile data manually.
The common denominator is that you move from a reactive and fragmented way of working to a structured and proactive one — which saves time, reduces costs and raises the quality of property management.
How do you work in a data-driven way in property management?
Collect the right data — The foundation is having structured information about the portfolio: areas, components, maintenance history, energy consumption, contracts and costs. Without a shared data platform, it is difficult to analyse anything meaningful.
Link data to location — In a drawing-based system, you can see exactly where in the building a cost arises, a component is located or a case is ongoing. This provides a spatial context that lists cannot offer.
Preventive maintenance — Instead of replacing a component when it breaks down, you analyse history and patterns: how long does this type of component last, in which buildings do faults occur most often, at what time of year? This makes maintenance planning more accurate.
Energy analysis — By tracking consumption over time and linking it to weather, occupancy and measures taken, you can identify deviations early and measure the effect of energy-saving initiatives.
Key figures and follow-up — KPIs such as cost per square metre, vacancy rate, case lead times and maintenance backlog make it possible to compare buildings, track trends and prioritise correctly.
Better decision support — When data is structured and accessible, you can answer strategic questions: Which buildings are expensive to operate? Where is the maintenance backlog greatest? Which contracts are unprofitable?
The challenge is often not a lack of data, but that it is spread across different systems and not linked to one another. A property system that brings everything together in one platform is therefore a prerequisite for working in a truly data-driven way.
Which property management platform suits large industrial companies best?
There is no single answer — it depends on what the industrial company actually manages and how. But a few factors and options are clearly relevant for that particular segment:
Vad är typiskt för stora industriföretag?
The property is a support function, not a core business. It involves factories, warehouses, office buildings and technical facilities — often large, complex and spread across multiple locations. The demands on technical management, component handling and operational reliability are high, while lease administration plays a subordinate role.
Which systems are suitable?
Pythagoras is a natural choice for industrial companies with complex property portfolios. Pythagoras helps industrial companies, municipalities and universities to optimise and coordinate their property management, with a visual system where drawings and digital models are central. The drawing-based interface makes it easier to navigate large and technically complex facilities.
Faciliate (Service Works Global) is another strong alternative. With 30 modules, the system can be tailored to different needs and brings together property management and Facility Management in one solution — including mobile support for field work and graphical visualisation in 2D, 3D and point clouds.
International platforms such as IBM Tririga, Archibus or ServiceNow FM are used by global industrial groups with needs for integrations with ERP systems (SAP, Oracle) and operations across multiple countries — but they are more complex to implement and often require consultant support.
The most important criteria for industrial companies specifically:
- Component register and maintenance history for machinery and installations
- Integration with existing business systems (SAP is common in the industry)
- Support for legal requirements such as systematic fire protection work (SBA) and regulatory inspections
- Mobility for operations technicians in the field
- Option for on-premise deployment where high security requirements apply
What is most important when choosing a platform for property management?
It depends somewhat on what type of organisation you have, but a few factors are generally decisive:
Fits your operational logic — If you own public properties, industrial premises or a campus, the property itself is the mission, and you need a system built around the building. If you manage residential properties, the tenant relationship is the core. The wrong fundamental logic in the system creates friction every day.
All-in-one vs. point solution — Should the system cover everything (technical management, finance, contracts, facility cleaning) in one interface, or should it integrate with existing systems? An all-in-one approach reduces information silos but demands more of the implementation.
Interface and usability — The system is used by many different roles: operations technicians in the field, finance managers, property directors. If it is difficult to use in everyday situations, you quickly lose the value, regardless of how powerful it looks on paper.
Visual vs. list-based — For managers with complex portfolios, a drawing-based interface makes a significant difference in how easy it is to navigate, troubleshoot and communicate with contractors. List-based systems are often quicker to learn but provide poorer spatial understanding.
Deployment model — Cloud-based on Swedish servers, European servers or on-premise? Particularly important for the public sector, which has requirements around data location and GDPR.
Integrations and open APIs — How well the system communicates with financial systems, IoT sensors, BIM tools and other platforms determines how future-proof the choice is.
Supplier stability and support — A property system is a relationship of 10+ years. The supplier's size, customer base and ability to continue developing the product carry significant weight.
About case management
What features should a case management system for properties have?
A good case management system for property needs to cover the entire flow — from when a case is created to when it is closed and followed up. Here are the most important features:
Case intake
- Multiple intake channels: web, app, email and telephone
- Self-service portal for tenants or businesses to report faults and track status
- Automatic confirmation to the person who submitted the report
Case management
- Categorisation and prioritisation of cases
- Assignment to the right person or group
- Ability to link the case to a specific building, premises or component — ideally directly in a drawing or map
- Management of work orders with instructions, checklists and material requirements
- Support for involving external contractors
Mobility
- App for operations technicians in the field: receive, update and close cases on site
- Ability to photograph and document directly within the case
- Access to drawings and component information out in the building
Follow-up and escalation
- Automatic reminders and escalation if cases are not handled within the required timeframe
- SLA management — defined response times and resolution times per case type
- History per component or premises: what has happened previously, how often does the same issue occur?
Integration with broader property management
- Link to planned maintenance: can a case generate a maintenance plan?
- Link to the component register to view warranties and service life
- Cost tracking per case
Reporting
- Statistics on case volume, lead times and recurring issues
- Ability to identify problem buildings or problem components
- Basis for justifying preventive measures
Den viktigaste egenskapen är kopplingen till byggnaden och dess komponenter – det är det som skiljer ett fastighetsinriktat ärendehanteringssystem från ett generiskt helpdesksystem. Utan den kopplingen förlorar man mycket av värdet i det databaserade arbetet.
What does a good fault report, action, and follow-up workflow look like?
A well-functioning flow looks something like this:
The flow is divided into four phases:
Report — The case comes in via app, portal, telephone or email and is automatically registered with category, priority and confirmation to the person who submitted it.
Preparation — The property manager assesses the case and creates a work order with instructions and a timetable. At this stage it is decided whether the work is to be carried out internally by an operations technician or outsourced to an external contractor.
Action — The work is carried out and documented directly in the system or via the app in the field — photos, notes, time spent and materials are linked to the case.
Follow-up — The case is closed, the person who submitted it is notified and the cost is recorded. The data is then used to track lead times, identify recurring faults and update maintenance plans.
How do you measure quality in case management (SLA, lead time, recurring errors)?
Quality measurement in case management is built on three levels — what was promised, how quickly it was delivered, and whether the problem was actually resolved.
The three key metrics are connected in an important way:
SLA measures whether you keep your promises, but it says nothing about why you miss them. Lead time explains where in the flow the time disappears — it could be in preparation, assignment or execution. Recurring faults reveal whether you are solving the root cause or merely the symptoms.
The classic mistake is to optimise the SLA figure without looking at reopened cases. A case that is closed quickly but recurs three times is worse than one that takes longer but is resolved properly.
The most valuable step is to link recurring cases directly to the maintenance plan — when a fault appears five times on the same component, it is a signal that planned maintenance is missing, not that the case management is poor.
How do you reduce recurring faults using case data?
It is about moving from simply registering problems to actually analysing them — and letting the data drive maintenance decisions.
Step 1 — identify the patterns
Case data contains three types of patterns worth looking for: the same component causing faults repeatedly, the same type of fault occurring across multiple buildings simultaneously, and seasonal patterns where certain problems are concentrated in specific periods (winter frost, summer heat).
Step 2 — distinguish between symptoms and root causes
A leak may be registered as a "plumbing case" every time, but the root cause could be an ageing pipe system, faulty installation or insufficient preventive maintenance. Without categorisation at component level, it is impossible to see the difference. This requires that each case is linked to a specific component in the component register, not just to a building or category.
Step 3 — set a threshold for action
A rule of thumb is that three or more cases on the same component within twelve months should trigger an investigation. Five or more should automatically generate a proposal for planned maintenance or component replacement. That threshold can be set in the system so that it happens automatically.
Step 4 — move the action to the maintenance plan
This is where the real value emerges. Instead of waiting for the next fault report, you schedule preventive maintenance based on the case history. The cost of a planned replacement is almost always lower than the cost of an emergency breakdown — and the risk of impact on tenants disappears.
Step 5 — measure the effect
After preventive measures have been taken, you follow up to see whether the number of cases on that component decreases. This creates a learning cycle: case data → analysis → maintenance action → measurement → improved maintenance plan.
The common prerequisite for all of this is data quality. If cases are not consistently linked to the correct component and location in the system, the analysis cannot be carried out. This is why the structure of the property system — the component register, the drawing link and the categorisation — is crucial for case data to be used proactively.
About contract management
What does contract management mean in a property system?
Contract management in a property-centred system is based on the premise that the premises, area and building are the primary unit — not the tenant or business that happens to be using it at any given moment.
The contract follows the area, not the person
When a contract is registered, it is linked to a specific area in the drawing. The history remains with the area when one occupant leaves and a new one arrives — the property manager can always see what has applied to the premises, regardless of how many businesses have passed through.
Which contract types are managed?
The system brings together lease agreements and right-of-use agreements linked to areas, service and maintenance agreements linked to technical installations, warranty agreements linked to specific units, as well as insurance and parking agreements linked to the property.
Cost allocation and warranties directly in the drawing
Since the contract is linked to the area with a known floor space, costs can be allocated automatically based on actual square metres. A property manager navigating to a unit in the drawing view can see directly which service agreement applies and when it expires — the contract is an attribute of the component, just like the maintenance history.
Continuity when the organisation changes
The information belongs to the property, not the relationship. When a business moves out or a property manager leaves, the contract history remains linked to the correct area and component — a fundamental difference from systems where information is organised around people who disappear.
Reminders about notice periods, automatic invoicing and digital signing via BankID work as in other systems — but changes are reflected directly in the area's status and cost allocation without manual intermediate steps.
How do you link contracts to objects, components and costs?
The link between contracts, objects and costs is what makes a property-centred system fundamentally different from a list-based one — the information is not separated into modules but linked to the same physical structure.
The object hierarchy is the foundation
Everything starts with a clear hierarchy: property → building → floor → area/room → component. Each level in that hierarchy can carry contracts, costs and technical information. A lease agreement is linked to an area, a service agreement to a unit, a warranty to a specific component. The link is made in the drawing, not in a separate register.
How a contract is linked to an object in practice
When a lease agreement is drawn up for a premises, the property manager selects the area directly in the drawing view. The system automatically retrieves the area according to the SIS standard, links the contract to the correct floor and building, and creates a connection between the contract document and the physical area. If the premises changes — a wall is moved, an area is divided — the area in the drawing is updated and the contract basis is adjusted automatically.
The component link provides deeper control
A service agreement for a ventilation unit is not linked to a category or a supplier in general — it is linked to the specific component in the component register, with its position in the drawing, technical specification, installation date and maintenance history. This means that at the next service, the property manager can immediately see what applies, without having to search.
The cost flow follows the structure
When the contract is linked to the correct object, costs can be allocated automatically. An operating cost for a building is distributed down to areas based on actual floor space. A component cost — replacing a filter, a service visit — is posted against the correct unit and the correct building. This gives a cost outcome per square metre, per component and per building without manual processing.
Internal cost allocation
In organisations where different businesses use the same property — a municipality with several departments, an industrial company with several divisions — the system can automatically allocate costs based on occupied floor space. When a contract changes, the invoicing basis is adjusted immediately. This eliminates the monthly manual processing of internal invoices.
What the link enables
When contracts, objects and costs are connected, the property manager can see the total cost for an area — rental income, operating cost, maintenance cost and service agreement cost all in the same place. This is the decision-making basis required to answer the question of whether a premises is profitable to retain, renovate or vacate.
How do you ensure that contracts are followed up (expiry dates, indexation, terms)?
Contract follow-up is about the system taking over the monitoring that would otherwise rely on individual people's memory or spreadsheets.
Expiry dates and notice periods
The most common mistake is that a contract is automatically renewed on terms that are no longer favourable, because no one was monitoring the notice period. The system registers the start date, end date and last date for termination, and sends reminders with sufficient advance notice — typically 90, 60 and 30 days before. Importantly, the reminders should go to a role, not a named individual, so that the monitoring does not lapse when someone leaves.
Index adjustment
Lease agreements almost always contain an index clause linked to CPI. Without system support, this requires manual calculation with a risk of errors. In the system, the clause is defined when the contract is registered — base year, base figure and adjustment frequency. When the index is published, the system calculates the new rent and updates the invoicing basis automatically.
Terms monitoring
In addition to dates and indexation, contracts often contain terms that require active monitoring: option clauses, turnover-based rent levels and warranty commitments. The system flags these and links them to a task when they need to be addressed.
The link to finance
Follow-up must lead to action. When an index adjustment has been calculated, it should automatically update the invoicing. That link between the contract module and the finance module is what makes the follow-up operationally valuable.
A prerequisite
Technology solves the monitoring — but only if contracts are registered completely from the outset. A system with half-completed contracts without end dates gives a false sense of security.
About facility cleaning management
What are the benefits of managing facility cleaning in the property system?
Facility cleaning is often managed in a separate system or via manual schedules outside of property management. Integrating it into the property system provides several concrete benefits.
The area as the starting point
When facility cleaning lives in the same system as the drawings, cleaning staff know exactly which areas are to be cleaned, in what order and at what frequency — based on actual floor space and room type, not a general schedule. If a premises changes its use or is refurbished, the cleaning schedule is updated automatically when the drawing is changed.
Real-time information on premises status
In operations where premises status is critical — hospitals, schools, industry — cleaning staff can use the app to mark a premises as complete immediately after cleaning. Other functions can see the status in real time without calling or emailing. This eliminates a major coordination problem.
Link to cases and deviations
When cleaning staff are in the premises, they notice things that need attention — a broken handle, a water leak, a light that is out of order. In an integrated system, they can register a fault report directly in the app, linked to the correct room and component, without going through a different channel. This improves the quality of fault reports and reduces lead times.
Cost tracking per area
Cleaning costs can be allocated per square metre and premises, just like operating and maintenance costs. This provides a complete cost picture per area and makes it possible to compare cleaning costs against occupancy rates — information that is difficult to obtain when facility cleaning lives in a separate system.
Contractor management
If cleaning is procured externally, the contractor can work in the same system via a restricted portal. Completed tasks are reported back digitally, providing a basis for invoice verification and quality follow-up without manual administration.
How does data-driven cleaning work in practice?
Data-driven cleaning means that cleaning frequency is adapted to how the premises are actually used — not according to a fixed schedule that was set up several years ago.
Occupancy data drives the need
The foundation is that the system knows which premises are being used and how much. This can come from booking systems, access systems, sensors or manual reporting. A conference room that was only used for one hour does not need to be cleaned as thoroughly as one that has had a full schedule all day. An empty open-plan office during a holiday week does not need daily cleaning.
From fixed schedule to needs-based
In a traditional setup, all premises are cleaned according to a fixed schedule regardless of actual use. In a data-driven setup, the system generates a cleaning schedule based on occupancy since the last cleaning. The result is that heavily used areas are cleaned more frequently and lightly used areas less often — without compromising quality, quite the opposite in fact.
Real-time prioritisation
If a premises is unexpectedly used intensively — a meeting that ran over, an event that generated extra mess — cleaning staff can flag this in the app and a new cleaning task is added to the schedule. Conversely, planned tasks can be cancelled if the premises turns out to have been unused.
The cost effect
Studies from hospitals and universities typically show a 15–25 percent reduction in cleaning costs when moving from a fixed schedule to needs-based cleaning, without any decrease in user satisfaction. These savings arise from fewer unnecessary tasks, better resource planning and reduced overtime.
Quality follow-up with data
Every completed cleaning task is logged with time, person and premises. This provides a basis for following up whether the schedule is being kept, identifying premises that are consistently under-serviced, and giving contractors fair feedback based on facts rather than subjective assessments.
The prerequisite
This requires that the premises are correctly registered in the system with the right room type and floor space, that cleaning tasks are defined per premises type, and that some form of occupancy data is available — even a simple booking system is sufficient as a starting point. Sensor data and access systems provide greater precision but are not a requirement to get started.
What is needs-based cleaning planning?
Needs-based cleaning planning is a way of directing cleaning resources to where they are actually needed, instead of following a fixed schedule that treats all premises the same regardless of how much they are used.
The basic principle
A premises that has not been used since the last cleaning does not need to be cleaned again. A premises that has had intensive activity may need to be cleaned more frequently than the schedule prescribes. Needs-based planning makes that assessment systematically, based on data, instead of leaving it to individual decisions or ignoring it entirely.
What drives the need
The most common sources of occupancy data are booking systems for conference rooms and teaching spaces, access systems that register how many people have moved through an area, sensors that measure presence or air quality, and manual reporting from cleaning staff or the business. Even a simple booking system provides a sufficient basis to get started.
The difference from traditional cleaning
A fixed schedule is simple to administer but inefficient — resources are spent on premises that do not need it, while heavily used areas may be cleaned too infrequently. Needs-based planning is more complex to set up but delivers better quality where it matters and lower overall costs.
Link to the property system
When cleaning planning sits in the same system as drawings, bookings and premises data, the schedule can be updated automatically when conditions change. A premises that is rebooked, refurbished or temporarily closed affects the cleaning schedule directly without manual intervention.
It is fundamentally the same principle as preventive maintenance — letting data determine when an action is needed, rather than starting from an arbitrary time interval.
Which property systems support facility cleaning?
There are a small number of Swedish property systems with genuinely built-in support for facility cleaning.
Pythagoras
The cleaning operative receives a schedule via the mobile app linked to the digital cleaning plan. Through drawings, colour codes and clear instructions, exactly what is to be done in each room is shown, including cleaning frequency, method and equipment. Deviations and fault reports are registered directly in the app and fed into the case management system. Facility cleaning is fully integrated with drawings, case management and inspections in the same system.
Faciliate (Service Works Global)
Faciliate has evolved into an FM system with support for workplace service processes such as facility cleaning, caretaker services and booking services. Facility cleaning is available as a module, but the system has a broader FM focus rather than facility cleaning as a core function.
Vitec
Listed as having facility cleaning management as a feature alongside case management and drawings, but the depth of the module is not as well documented as the two above.
Most traditional property systems — Momentum, Fast2 and similar — are primarily focused on lease administration and finance, and lack built-in facility cleaning support. Pythagoras is the system that most clearly has facility cleaning integrated into a property-centred platform with drawing links as the foundation.