Executive summary

Banks face one of the most important workplace and real estate decisions of the coming years: how much office space is really needed in a hybrid working world?

This question is not only operationally relevant. It affects multi-million budgets, long-term leases, ESG targets, employee satisfaction, leadership culture, and productivity. At the same time, many organizations still make decisions about office space on the basis of incomplete data: single point-in-time measurements, subjective impressions, fully booked meeting room calendars, or blanket assumptions about office attendance.

That is no longer enough.

In a hybrid working world, the central question is no longer "How many desks do we have?" It is "How efficiently do we use our office space, what does an actual office day cost, and is in-person collaboration really happening?"

This is exactly where Workplace Intelligence comes in. Banks can already gain reliable insights from existing data from WiFi, access control systems, Microsoft Teams, Outlook, Entra ID, SAP, or booking systems. Sensors are not strictly required to start. Within four to six weeks, first analyses of office utilization, meeting room use, team overlap, and space efficiency can be produced.

For effective management, three metrics are especially important:

• Cost per office day shows what an actually used office day costs.

• Office Efficiency Score measures how efficiently a location, a floor, or an office portfolio is used.

• Collaboration Score shows whether office attendance actually enables in-person collaboration.

The potential is substantial. Depending on the starting point, banks can often optimize 10 to 25 percent of their office space without worsening collaboration or employee experience. On the contrary: done right, space optimization, better collaboration, and higher employee satisfaction can be achieved at the same time.

This requires a structured approach, though: data analysis, piloting, scenario modeling, and change management. The Yoffix Workplace Intelligence Program combines these steps into a proven approach for banks and financial institutions.

1. The new reality: banks need a different workplace strategy

A few years ago, office planning was comparatively simple. Many companies planned desks for 90 percent or more of their employees. Most employees were in the office most days. Office space was sized mainly on headcount, space metrics, and growth forecasts.

This logic no longer works in a hybrid working world.

Today, employees come into the office on different days. Teams work in a distributed way. Leaders want more in-person collaboration. Employees expect flexibility. Real estate teams are asked to cut costs. HR is asked to strengthen culture and retention. IT and data protection have to ensure secure, GDPR-compliant solutions. The works council has to be involved early. And management needs a reliable basis for long-term portfolio decisions.

Banks in particular are under special pressure here. They often have large headquarters, several regional locations, long-term leases, and high requirements for security, compliance, and data protection. At the same time, banks are strongly knowledge- and collaboration-driven. Many core processes, such as risk management, compliance, product development, IT, finance, or client projects, only work when different teams collaborate well.

The office therefore has a new role. It is no longer just a place where work gets done. It is a place for collaboration, leadership, culture, learning, informal coordination, and quick decisions.

But to be that, the office has to be managed differently.

An office that is empty on Mondays and Fridays, feels overcrowded on Tuesdays, and offers no suitable meeting rooms on Wednesdays is not well organized. A location where employees formally meet their office quota but do not meet their relevant colleagues delivers insufficient value. A meeting room calendar that looks fully booked but contains many no-shows is not a reliable basis for decisions.

Banks therefore need a workplace strategy that considers office space, attendance, collaboration, and cost together.

2. Why traditional metrics are no longer enough

Many banks still use metrics that come from an earlier office world. These include average utilization, average office quota, or cost per desk.

These metrics are not worthless. But they are too coarse to manage hybrid working models effectively.

Average utilization hides peaks and vacancy

An average office utilization of 55 or 60 percent can look solid at first glance. In reality, it can mean that the location is overloaded on two days a week and largely empty on the others.

For space planning, the average is therefore of limited help. What matters is not only how high average utilization is, but when, where, and by whom it occurs.

A bank needs to know:

• Which weekdays are heavily utilized?

• Which floors or zones are overcrowded?

• Which teams create utilization peaks?

• Which spaces regularly go unused?

• Which locations have structural vacancy?

• Which peaks can be reduced through better attendance planning?

A location can have low average utilization and still offer too little capacity on certain days. Conversely, a location with high average utilization can work well if usage, team zones, and booking rules are managed cleanly.

Office quota measures attendance, not collaboration

Many banks are now introducing attendance rules, for example two or three days a week in the office. From this a seemingly simple metric emerges: the office quota.

But a fulfilled office quota does not automatically mean better collaboration.

If employees are in the office on three days but their most important colleagues come on other days, little value is created. The organization formally reaches its attendance target, but not the actual goal: better coordination, faster decisions, stronger team culture, and more informal exchange.

The decisive question is therefore not only "How often are employees in the office?" The better question is "Are the right people in the office at the same time?"

Fully booked meeting rooms do not automatically mean a shortage of rooms

Another typical misunderstanding concerns meeting rooms. Many banks see full Outlook calendars and conclude that more meeting rooms are needed.

In practice, the situation is often more complex. Rooms are booked but not used. Recurring appointments block rooms for months. Large rooms are occupied by small groups. Meetings are canceled but not removed. Booking horizons are too long. No-shows create artificial scarcity.

The right conclusion is therefore not automatically "We need more meeting rooms." Often it is more like "We need to manage meeting rooms better."

This includes check-in rules, automatic release on no-shows, better recommendations for suitable room sizes, shorter booking horizons, and a reconciliation of booking and actual use.

Cost per desk is incomplete in hybrid models

The metric "cost per desk" was long a standard in real estate management. In hybrid models, however, it becomes problematic.

A desk can look cheap on paper but be expensive if it is rarely used. Conversely, a high-quality location can make economic sense if it produces many productive office days and high in-person collaboration.

For banks, a different metric is therefore often more meaningful: cost per office day.

3. The new guiding question: what does a real office day cost?

In a hybrid working world, banks should not only ask "What does a desk cost?" They should ask "What does an actually used office day cost?"

The metric cost per office day relates total relevant workplace costs to the real number of office days.

A simplified formula is:

Cost per office day = annual workplace costs / actual office visits per year

Annual workplace costs can include, depending on the scope of the analysis, rent, service charges, energy, cleaning, facility management, maintenance, furnishings, security, IT infrastructure, and other location-related costs.

This metric makes visible how economically an office is actually used.

It answers questions such as:

• How expensive is a real office day at location A compared to location B?

• Which offices look cheap but are expensive because of low usage?

• Which locations deliver high usage and good economics?

• How does the economics change at two, three, or four office days per week?

• What savings potential arises from desk sharing, space reduction, or a better weekly distribution?

• Which spaces should be kept, reduced, repurposed, or consolidated?

For banks with several locations, this metric is especially valuable. It creates comparability across the entire office portfolio.

Cost per office day is also relevant because it changes the conversation. It is no longer only about counting square meters or desks. It is about the economic and organizational value the office actually delivers.

4. Yoffix Workplace Intelligence Program: from gut feeling to reliable decisions

Real estate decisions in banks often involve multi-million budgets, long-term leases, and central questions of work organization. Even so, many decisions about office space, desk sharing, meeting rooms, and return-to-office models are still made on the basis of incomplete data.

The Yoffix Workplace Intelligence Program helps banks make these decisions data-based. The approach combines existing data sources, workplace analytics, concrete optimization pilots, and strategic scenario modeling into a structured program.

This is not about monitoring individual employees. The goal is to gain aggregated and GDPR-compliant insights into how offices are actually used, where optimization potential lies, and how in-person collaboration can be deliberately improved.

The program follows a three-stage approach:

1. Workplace Intelligence Assessment

2. Workplace Optimization Pilot

3. Scenario Modeling and Portfolio Optimization

Step 1: Workplace Intelligence Assessment

Duration: 4 to 6 weeks

In the first step, Yoffix creates transparency about the actual use of office space, desks, meeting rooms, and attendance patterns. Existing data sources are used for this.

Typical data sources are:

• Corporate WiFi

• Access control data

• Microsoft Teams or SAP check-ins

• Outlook room bookings

• Microsoft Entra ID team structures

• Desk and room booking data

• Space and location data

The advantage: banks do not necessarily have to start with sensors. In many cases, existing systems are enough to gain first reliable insights within a few weeks.

The assessment covers four areas of analysis.

Attendance and Occupancy Analytics. This analyzes when employees are actually in the office, how utilization is distributed across weekdays, and where peaks or vacancy arise. It becomes visible whether a location is really too small or whether attendance can be distributed better.

Collaboration Analytics. This analysis shows whether relevant colleagues are in the office at the same time. It thus answers a central question: does office attendance actually lead to more collaboration?

Meeting Effectiveness Analytics. This analyzes room bookings, no-shows, room sizes, booking duration, and actual use. It becomes visible whether more meeting rooms are really needed or whether existing rooms can be used more efficiently.

Executive Assessment. The results are summarized in a management-ready evaluation. This includes first recommendations, quick wins, risks, and an assessment of the economic potential.

The outcome of the first phase is clear metrics such as the Office Efficiency Score and the Collaboration Opportunity Score, and first scenarios for space and attendance optimization.

Step 2: Workplace Optimization Pilot

Duration: 3 to 6 months

After the analysis comes a pilot in which concrete measures are tested at a selected location, area, or part of a building.

The pilot is important because it shows which measures really work in the organization. Banks thereby gain not just data, but reliable practical experience for a later rollout.

Typical building blocks are:

Desk Sharing and Workplace Booking. Introduction or optimization of desk booking, team zones, priority rules, and check-in processes. Employees can find suitable desks, teams can sit together, and unused bookings become available again.

Meeting Room Optimization. Optimization of meeting rooms through check-in, automatic release on no-shows, better room-size management, and shorter booking horizons. This reduces perceived scarcity without necessarily creating new rooms.

Occupancy Validation. Reconciliation of bookings, attendance, and actual use. This makes it possible to identify phantom utilization, planning errors, and unused reservations.

Attendance and Collaboration Management. Management of team days, anchor days, and cross-functional attendance. The goal is not just more presence, but better collaboration.

A successful pilot delivers concrete answers:

• Which desk sharing ratio is realistic?

• Which teams need fixed zones?

• Which weekdays should be distributed better?

• Which check-in rules work?

• Which meeting rooms are sized wrong?

• How do employees react to new rules?

• Which measures increase acceptance and usage?

Step 3: Scenario Modeling and Portfolio Optimization

Duration: 2 to 4 weeks

In the third step, the results from the assessment and pilot are translated into strategic decisions.

Different workplace and real estate scenarios are modeled.

Typical questions are:

• How many desks are needed at two or three office days per week?

• Which desk sharing ratio is realistic?

• Which floors or spaces can be reduced, repurposed, or sublet?

• How does space demand change with a better weekly distribution?

• What effects do team days or anchor days have on collaboration and utilization?

• Which locations in the portfolio are efficient, and which are not?

• How high is the financial savings potential?

This phase comprises four building blocks.

Workplace Scenarios. Simulation of different attendance, desk sharing, and space scenarios.

Financial Analysis. Calculation of cost per office day, savings potential, and portfolio effects.

Strategic Recommendations. Concrete recommendations for space, rules, location strategy, meeting rooms, and rollout.

Rollout Plan. A prioritized implementation plan for further locations, floors, or business areas.

The result is a data-based basis for decisions for real estate, HR, IT, finance, and management.

5. The three most important KPIs for banks

For banks to not just measure their office space but actively manage it, new metrics are needed. Traditional KPIs such as average utilization or cost per desk are no longer enough in hybrid working models. What matters are metrics that consider usage, cost, and collaboration together.

5.1 Cost per office day

Cost per office day shows what an actually used office day costs. This metric is considerably more meaningful in hybrid working models than cost per desk alone.

An example: a location causes high annual costs. If the space is only heavily used on two days a week, the cost per actual office day rises sharply. Through a better distribution of attendance, desk sharing, and space optimization, this value can be lowered.

Cost per office day is especially helpful for portfolio decisions:

• Which locations are economically efficient?

• Which spaces are used too rarely?

• Which locations should be consolidated?

• Where is it worth investing in a better office experience?

• Where does the greatest savings potential arise?

5.2 Office Efficiency Score

The Office Efficiency Score measures how efficiently an office is used and operated. It considers not only average utilization, but also the quality of use.

This includes, for example:

• Desk utilization

• Utilization by weekday

• Utilization peaks

• Vacancy patterns

• Desk sharing ratio

• Booking quality

• Check-in rate

• No-shows

• Meeting room efficiency

• Ratio of room size to number of participants

• Usage by floor, zone, and team

The advantage: the Office Efficiency Score condenses many individual metrics into one strategic management value. This lets banks quickly see which locations run efficiently and which locations need action.

An office can look well utilized at first glance but still be inefficient if there are strong peaks, high no-show rates, or wrongly sized meeting rooms.

5.3 Collaboration Score

The Collaboration Score measures the potential for in-person collaboration. It shows how often relevant colleagues are in the office at the same time.

This metric is especially important because it makes visible the central mistake of many return-to-office strategies: more office attendance does not automatically lead to more collaboration.

An example: Team A comes in on Mondays and Wednesdays. Team B comes in on Tuesdays and Thursdays. Both teams work closely together. The formal office quota is met. Real collaboration nonetheless stays weak.

The Collaboration Score makes such patterns visible. It helps banks coordinate team days, anchor days, project-based attendance days, and cross-functional attendance better.

6. Typical false assumptions about office utilization in banks

In conversations with banks, similar assumptions come up again and again. Many of them are understandable but lead to wrong decisions.

False assumption 1: "On the measurement day we had 80 percent utilization, so we need almost as many desks as employees."

High utilization on a single day is not sufficient proof of long-term space demand. What matters is the usage pattern over several weeks or months.

If Monday, Wednesday, and Friday are considerably less utilized, the required number of desks can be much lower. A bank therefore needs not point-in-time logic but an analysis of patterns, peaks, and distribution.

False assumption 2: "Our meeting rooms are fully booked, so we need more rooms."

Fully booked calendars do not automatically mean real usage. No-shows, booking windows that are too long, wrong room sizes, and missing automatic release can create artificial scarcity.

Banks often need not more rooms, but better rules:

• Check-in for meeting rooms

• Automatic release on no-shows

• Shorter booking horizons

• Room recommendations based on number of participants

• More small rooms instead of large conference rooms

• Analysis of booking and actual use.

False assumption 3: "Our employees meet the office quota, so collaboration works."

An office quota measures presence, not collaboration. If teams come in on different days, a high presence rate can still lead to weak collaboration.

Banks should therefore not only measure attendance, but team overlap. What matters is whether relevant colleagues are in the office at the same time.

False assumption 4: "Desk sharing solves the problem automatically."

Desk sharing is an important instrument, but not a complete strategy. Without data, rules, and change management, desk sharing can even create frustration.

Employees need transparency:

• Where does my team sit?

• Which desks are available?

• Can I sit near my colleagues?

• Which zones belong to my team?

• What happens when a booked desk is not used?

Successful desk sharing in banks needs team zones, priority rules, check-in, automatic release, and clear communication.

7. Example calculation: the savings potential for a bank with 1,000 employees

Take a bank with 1,000 employees at a larger location. Traditionally, a company might plan 900 to 1,000 desks. In a smart hybrid model, the additional savings potential can be around 1 to 1.5 million euros per year.

If the bank analyzes actual usage, distributes attendance better, introduces desk sharing, and optimizes meeting rooms, desk capacity can be reduced considerably.

The economic potential comes from several sources:

• Reduction of unneeded desks

• Reduction or subletting of office space

• Better use of existing floors

• Optimization of meeting rooms

• Lower operating costs

• Less space reserve for utilization peaks

• Better distribution of attendance

• Higher usage per square meter

Important: the biggest effect does not come from simply cutting space, but from intelligent optimization.

Banks should not cut space across the board. They should model scenarios.

Typical scenarios are:

• What happens with two fixed office days per week?

• What happens with three office days per week?

• Which teams need fixed anchor days?

• How many desks are needed with a better weekly distribution?

• How does meeting room demand change?

• How high is the risk of overload on peak days?

• Which spaces can be reduced without endangering productivity?

Only once these questions are answered can a bank decide reliably whether space should be reduced, repurposed, or managed differently.

8. Case study: European universal bank

A practical example shows how data-based office optimization in banks can work.

The starting point: a leading European universal bank wanted to bring employees back into the office more. The headquarters had ten floors and more than 800 employees. At the same time, there was an impression that there was not enough capacity. Teamwork was especially important, but there were strong utilization peaks. Attendance requirements applied to individual teams.

The challenge was typical of many banks: on the one hand, the office seemed too full on certain days. On the other hand, it was unclear whether more space was really needed or whether the existing space could be managed better. For this reason, a project was started with the Yoffix Workplace Platform.

The measures: first, an attendance check was carried out using WiFi data. Then team zones were set up. Teams received priority booking rules for certain zones. Zones were also assigned to individual teams and weekdays. Check-in and automatic re-release of unused desks were introduced.

The results: the bank was able to provide enough desks for all employees. More than 80 percent of bookings were made in team zones. Utilization was over 90 percent. Tool adoption was over 95 percent.

The most important insight: high utilization need not be a problem if it is managed. What matters is that employees reliably find desks, teams can collaborate, and unused resources automatically become available again.

9. Desk sharing in banks: success factors and risks

Desk sharing is a central lever for space optimization in banks. But success depends heavily on execution.

Many desk sharing projects fail not because of the technology, but because of a lack of acceptance. Employees only accept flexible desks if the system is reliable, fair, and easy to use.

Team zones instead of anonymous flex space

Banks should not organize desk sharing as a free competition for any desk. For collaboration, team zones are considerably better.

Team zones give employees orientation. They know where their team sits. At the same time, the space remains flexibly usable. Priority rules can ensure that certain teams get preferred access to certain areas on certain days.

Check-in and automatic release

Without check-in, phantom usage arises. Employees book desks but do not use them. Others seemingly find no free desk, even though desks stay empty.

A simple check-in via app, Microsoft Teams, QR code, or WiFi can solve this problem. If a desk is not used, it is automatically released again.

Transparency for employees

Employees want to know who is in the office and when. They want to find desks near relevant colleagues. They do not want to come into the office in the morning and find that no one from their own team is there.

A good workplace system therefore shows not only free desks, but also supports attendance planning, team days, and collaboration.

Rules by team and function

Not all areas of a bank work the same way. IT, risk, finance, compliance, sales, customer service, HR, and leadership teams have different requirements.

Uniform rules for everyone are often too coarse. Differentiated models are better:

• Fixed team days for certain areas

• Project-based attendance days

• Anchor days for larger departments

• Flexible booking for individual work

• More presence for onboarding or critical coordination

• Special zones for confidential activities.

10. Collaboration management: the actual goal of office attendance

Many return-to-office programs focus on attendance. But attendance is only a means. The actual goal is better collaboration.

For banks, collaboration is especially important because many processes are cross-functional. Credit decisions, risk management, compliance, product development, IT projects, regulatory requirements, and client solutions rarely arise in isolated individual teams.

If relevant teams are in the office on different days, the benefit of office attendance evaporates.

Collaboration management means coordinating attendance so that collaboration becomes more likely.

This includes:

• Measuring team overlap

• Identifying relevant interfaces

• Defining shared anchor days

• Making team days visible

• Planning project-based office attendance

• Supporting leaders with data

• Distributing attendance across the week

• Motivating employees to come in on relevant days.

The Collaboration Score helps make weak points visible. It shows where teams are present but not together. From this, concrete measures can be derived.

The most important insight: banks do not have to simply generate more office attendance. They have to generate better office attendance.

11. AI in workplace management: from dashboard to recommendation

The next step after workplace analytics is AI-supported recommendation.

Dashboards show what has happened. AI can help derive concrete recommendations from that.

Examples of AI-based recommendations are:

• Reduce desk capacity from 800 to 620

• Introduce fixed team office days for 50 percent of employees

• Activate binding check-in rules based on WiFi

• Automatically release unused meeting rooms

• Share aggregated attendance data with team leads

• Introduce two fixed attendance days for large departments

• Better coordinate attendance of IT, risk, finance, and compliance

• Distribute attendance more evenly across the week

• Shorten the booking horizon

• Introduce hourly desk booking

The value lies in the fact that AI does not only analyze data, but prioritizes options for action.

For banks this is especially important, because workplace decisions affect many stakeholders: real estate, HR, IT, data protection, works council, leaders, and employees.

AI can help evaluate scenarios faster and make recommendations easier to understand. It does not replace management's decision, but it improves the basis for the decision.

12. GDPR, works council, and trust in data

Workplace Intelligence in banks has to be implemented in a data-protection-compliant way. This is not a side issue, but a central prerequisite.

Banks work with sensitive data, regulated processes, and high compliance requirements. At the same time, trust is decisive. Employees and the works council have to understand that this is not about individual monitoring.

A successful implementation is based on three principles.

Aggregation instead of individual monitoring

Analyses should take place at an aggregated level, for example by location, floor, zone, team, or weekday. Individual movement profiles should be avoided.

The goal is not to control individual employees. The goal is to understand usage patterns and make better decisions about space, rules, and collaboration.

Purpose limitation and transparency

The bank has to explain clearly what data is used for:

• Optimization of office space

• Improvement of desk availability

• Better meeting room use

• Support of collaboration

• Strategic portfolio decisions.

Covert performance or behavior monitoring would not be acceptable.

Early involvement of data protection and works council

Data protection, information security, and the works council should be involved early. This reduces later resistance and builds trust.

Important questions are:

• Which data sources are used?

• At what level of aggregation does the analysis take place?

• Who has access to which reports?

• How long is data stored?

• Which purposes are excluded?

• How are employees informed?

• Which codetermination rights are relevant?

If these questions are answered cleanly, Workplace Intelligence can be implemented successfully even in regulated banking environments.

13. Change management: why data alone is not enough

Even the best analysis does not yet change behavior. Banks need change management.

Employees only accept new office rules if they understand the point and see a personal benefit. Leaders have to learn to actively shape hybrid attendance. Real estate has to move from space administrator to strategic partner. HR has to factor in culture, leadership, and employee experience.

Good change management includes:

• Clear communication of the goal

• Involvement of leaders

• Pilot groups and feedback loops

• Transparent rules

• Simple tools

• Visible quick wins

• Regular evaluation

• Adjustment of the rules based on data.

The message should not be "We are reducing space."

The better message is: "We are designing offices so that collaboration works better and space is used sensibly."

That is an important difference.

Space optimization must not be understood as a pure cost-cutting program. It should be communicated as part of a modern workplace strategy. When employees experience that they find suitable desks more easily, meet their teams better, and have meeting rooms more reliably available, acceptance rises.

14. Portfolio optimization: from location report to real estate strategy

For banks with several locations, Workplace Intelligence becomes especially valuable. Because then it is not only about optimizing individual floors, but about the entire office portfolio.

A portfolio dashboard can compare locations along two dimensions:

• Office Efficiency Score

• Collaboration Opportunity Score

This creates clear priorities.

• Locations with low efficiency and a low Collaboration Score need a fundamental review.

• Locations with high efficiency and a high Collaboration Score work well and can serve as a benchmark.

• Locations with high efficiency but weak collaboration need better attendance management.

• Locations with low efficiency but high collaboration potential need space optimization.

This view helps banks prioritize investments. Not every location with low utilization should be closed immediately. Sometimes better management is enough. Conversely, a well-utilized location can be strategically problematic if hardly any relevant collaboration takes place there.

Portfolio optimization therefore means considering cost, usage, and collaboration together.

From this, better decisions arise:

• Which spaces should be reduced?

• Which locations need better management?

• Which offices should be modernized?

• Where is more space worth it?

• Which spaces can be used differently?

• Which locations are strategically important but operationally inefficient?

• Which lease decisions should be prioritized?

For banks with large real estate portfolios, this approach can have a substantial financial effect.

15. Concrete measures for banks

A data-based workplace analysis typically leads to concrete measures. These can be grouped into five categories.

Optimize space and desks

• Reduce desk capacity

• Define desk sharing ratio

• Introduce team zones

• Manage zones by weekday

• Consolidate floors

• Sublet or give up unused space

• Plan space demand scenario-based.

Manage attendance better

• Define team days

• Introduce anchor days for large areas

• Plan project-based attendance days

• Distribute attendance across the week

• Support leaders with team data

• Connect office attendance with concrete collaboration goals.

Use meeting rooms more efficiently

• Introduce check-in for rooms

• Automatically release no-shows

• Shorten booking horizon

• Match room sizes better

• Convert large rooms into smaller units

• Connect meeting data with utilization data.

Improve employee experience

• Easy booking via Microsoft Teams or Outlook

• Visibility of team attendance

• Booking near the team

• Mobile use

• Clear rules

• Reliable availability

• Less searching for desks and rooms.

Make decisions data-based

• Calculate cost per office day

• Introduce Office Efficiency Score

• Measure Collaboration Score

• Model scenarios

• Compare locations

• Create management reports

• Prioritize rollout

These measures should not be considered in isolation. The greatest effect arises when they are combined: data analysis, workplace booking, team zones, meeting room management, attendance management, and portfolio decisions interlock.

16. Why banks should act now

Many banks face lease renewals, location decisions, renovations, or new attendance rules. Anyone who has no reliable data today risks expensive wrong decisions.

Three risks are especially large.

Holding too much space

If banks plan space based on old attendance patterns, they pay permanently for unused capacity. At large locations, substantial costs quickly arise.

The problem is not only rent. Operating costs, energy, cleaning, maintenance, furnishings, and facility management continue to run as well. The longer wrong space decisions persist, the greater the financial effect becomes.

Holding too little or wrongly configured space

Anyone who reduces too aggressively risks overload, poor employee experience, and resistance to office attendance. Employees then find no suitable desks, teams do not sit together, and meeting rooms are hard to get.

The problem is then not necessarily too little space overall, but wrongly organized space.

Forcing office attendance without collaboration

If employees come into the office but do not meet their teams, acceptance drops. Office attendance is then experienced as an obligation instead of as value.

This can lead to frustration. Employees ask themselves why they should commute if they spend the day in video calls anyway. Leaders see more attendance, but not automatically better collaboration.

Banks should therefore optimize office space, attendance, and collaboration together.

17. Conclusion: the future of office management in banks is data-based

Banks can no longer afford to make real estate decisions based on gut feeling. The costs are too high, the working models too complex, and the strategic effects too great.

The central question is not "How do we get everyone back into the office?" The better question is "How do we use office space so that cost, collaboration, and employee experience interact optimally?"

For this, banks need new data, new KPIs, and new management models.

• Cost per office day makes economics visible.

• The Office Efficiency Score shows how efficiently office space is used.

• The Collaboration Score shows whether office attendance really enables collaboration.

• Workplace Intelligence combines existing data sources into clear decisions.

• AI can derive concrete recommendations for action.

• Desk sharing, team zones, check-in, and meeting room optimization put the potential into practice.

The result: lower costs, better office utilization, stronger collaboration, and reliable portfolio decisions.

The most important insight: space optimization and better collaboration are not a contradiction. If banks manage their workplace strategy on a data basis, they can achieve both at the same time.