Dock your laptop, and your desk is booked. Automatic check-ins sound like an easy fix for a familiar problem, and technically, a lot is possible. But whether it makes sense for your organization is rarely a question of technology.
Sooner or later, almost every company with desk sharing runs into the same question: Who's actually in the office? Desk bookings show who plans to come in and where, but they don't reflect what really happens. People book from home, forget to check in, and switch desks on the fly without it ever showing up in the numbers.
The market is increasingly answering with automatic presence detection. Software on the laptop, network signals or sensors are supposed to detect whether a desk is in use and take care of booking and check-in along the way.
Customers regularly ask us whether Gingco Share can do this too. The short answer: yes. The honest answer takes a bit longer. Whether automatic detection makes sense depends less on the technology than on its purpose, data protection, co-determination rights, and whether your employees are on board. This article puts the technical options in context and shows what you should clarify before rolling anything out.
Automatic presence detection refers to methods that determine whether a person is in the building or a desk is in use, without employees having to do anything. They rely on technical signals, such as a laptop connecting to the corporate network, a docking station or a monitor, data from the access control system, or presence sensors. An automatic check-in uses these signals to mark a booking as used without manual confirmation, or to create the booking in the first place.
This needs to be distinguished from three types of data that often get lumped together in practice:
This distinction is more than semantics. For space planning and utilization analysis, anonymous occupancy data is usually all you need. The questions this article focuses on only come up once a system is supposed to know who is there.
The methods differ mainly in two ways: how precisely they locate someone and how closely they're tied to individual people. Both determine how much alignment with your data protection team and works council will be needed.
| Method | How it works | Location accuracy | Linked to individuals | Effort |
|---|---|---|---|---|
| Manual check-in via app, web or display | The person actively confirms their booking, e.g. via QR code or at a terminal | Desk | Yes, but deliberately triggered | Low |
| Button or check-in key at the desk | Whoever sits down presses a button on the desk. The system knows the desk is occupied | Desk | Depends on configuration | Low to medium, hardware per desk |
| Check-in when entering the building or site | Entry via badge or terminal counts as presence | Building or site | Yes | Medium, integration with access control |
| IP range mapping | When a person logs in via web or app, the system uses the network range to tell whether they're in the office | Building, or floor depending on the network | Yes | Low, requires a login |
| Software client on the laptop | A background program detects Wi-Fi, docking station or monitor and automatically books or checks in | Floor to desk | Yes, via the device | Medium, rollout via device management |
| Presence sensors | Sensors under the desk or on the ceiling detect whether a desk or room is occupied | Desk or room | No | High, hardware, installation and maintenance |
In many cases, two methods already solve the original problem well enough: IP range mapping to tell whether someone is on site, and a standard check-in at the building or site entrance. If you need to know whether individual desks are occupied, you can do that without identifying anyone, for example with a button at the desk or with sensors.
Used the right way, automatic methods solve real problems in day-to-day desk sharing.
Space decisions are often based on booking data. People who book and don't show up skew the numbers just as much as people who grab a free desk without booking. Occupancy data closes that gap and gives you a more solid picture of how floors and spaces are actually used.
When bookings without a check-in are released automatically, unused desks become available to others again. An automatic or very simple check-in reduces the number of bookings that lapse simply because someone forgot.
Every manual step is a hurdle. The less people have to actively confirm, the better the data quality tends to be, as long as employees accept the method.
If you know which floors sit empty on which days, you can plan cleaning, heating and air conditioning accordingly. Anonymous occupancy data is all you need for that.
Every method measures a signal and infers presence from it. That inference is never completely reliable.
In our consulting experience, automatic presence solutions rarely fail because of the technology. They usually fail at approval by the works council and data protection team, or because employees don't accept them. Factoring this in from the start saves you from a project that ends up never being allowed to go live.
Under Section 87(1) No. 6 of the German Works Constitution Act (BetrVG), the works council has a right of co-determination when technical systems designed to monitor employee behavior or performance are introduced or used. According to established case law of the Federal Labor Court, it is enough for a system to be objectively capable of monitoring. The employer's intent is irrelevant. As a rule, a system that automatically records when which person is in the office therefore requires co-determination. The usual approach is a works agreement that defines the purpose, the data collected, the analyses and the access rights.
Three principles are especially relevant for presence data:
In addition, systematically tracking employees may require a data protection impact assessment (DPIA) under Art. 35 GDPR. That's why you should involve your data protection officer early on.
Even a legally sound solution can fail in everyday use. A program that reports in the background when someone arrives and leaves quickly feels like surveillance, no matter what's actually being analyzed. The result: employees work around the system, book less often or reject desk sharing altogether, which undermines the very data quality the method was supposed to improve.
Buy-in comes from transparency: a clearly stated purpose, visible limits on what's analyzed and, wherever possible, methods that employees trigger themselves.
Note: This article provides an overview and does not constitute legal advice. The specific assessment depends on how your solution is set up.
An enterprise customer recently asked us whether Gingco Share could detect employee presence via their computers' network connection. The reasoning made sense: desks can also be booked remotely, so a booking says nothing about who's actually on site.
Technically, this requirement can be met. We outlined two options – querying the existing access control system and mapping IP ranges at login – and pointed out at the same time that concepts like these often fail to get works council approval.
The outcome: The customer's data protection team rejected the project. What stood out was that their existing network and device management tools could have done the job as well, but that kind of tracking had already been prohibited there.
This example shows what really matters: The key question isn't which tool can detect presence. It's whether the organization wants to do it and whether there's a purpose that justifies collecting the data. That question belongs at the beginning of a project, not at the end.
Before you decide on a method, make sure these points are clear:
Gingco Share can detect presence in a number of ways. We've already implemented similar concepts as custom solutions for customers. We work with you to figure out which approach fits before anything gets configured.
We're deliberately cautious with our recommendations: We'll implement what's technically requested, but we won't recommend a method just because it's technically possible. In many cases, you can reach your goal with a solution that doesn't identify individuals or that employees trigger themselves. These methods are easier to get approved and are more likely to be accepted in everyday use.
Technically, automatic presence detection is no longer a major hurdle. Network, access control, sensors or a simple button at the desk – there's a way to meet almost any requirement. But whether a method makes sense is decided elsewhere: by its purpose, co-determination, data protection and whether your employees accept it.
In many cases, the best solution isn't the one that collects the most data, but the one that gets by with the least and still answers the right question.
Thinking about tracking presence or occupancy automatically? Talk to us before you decide on a method. We'll show you which options fit your infrastructure and tell you openly where we see risks.