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Excel has served businesses well for decades. Spreadsheets still dominate project planning in many German mid-sized businesses, from initial capacity estimates to monthly utilisation reports. But organisations managing complex project portfolios soon encounter Excel's limits in resource planning. Effective resource management needs more than formulas and pivot tables: it needs real-time visibility, AI-supported forecasts and integration with agile ways of working. This article explains where Excel falls short and how specialist tools such as Can Do help mid-sized businesses regain control of their projects.
Excel's flexibility is appealing. A new project? Create a new spreadsheet. A change of employee? Copy and paste. Holiday planning? Adjust a formula.
This ad hoc approach makes Excel a favourite among project managers, particularly in mid-sized businesses. It is also where structural problems begin.
Every change, whether illness, shifting priorities or a new project, requires manual adjustments across several spreadsheets. In a typical mid-sized business with 70 concurrent projects and 200 employees, these corrections can quickly take several hours a week. Errors creep in: overlooked leave, an incorrectly copied formula or capacity counted twice. The result is unrealistic plans, overload and projects that miss their goals.
Can Do addresses this through automated capacity calculations. Working patterns, leave, recurring workload and day-to-day business are maintained centrally and automatically taken into account in every plan. This removes the need for repeated spreadsheet corrections.
Data consistency is crucial: there needs to be one reliable source of information. Capacity forecasts are dependable only when employee records, availability and project plans are synchronised. Integration with the existing IT environment, for example through a bidirectional interface to an ERP system such as SAP, is therefore essential.
Excel can be sufficient for small teams with three to five projects. Resource management remains manageable and an overview fits on one worksheet. But mid-sized businesses grow through new customers, international projects and hybrid teams.
Project planning becomes multi-project management, with more than 20 concurrent initiatives, different availability, teams across locations and constantly changing priorities.
Excel reaches structural limits. Pivot tables become difficult to navigate, complex formula chains are hard to follow, and dependencies across projects have to be mapped manually. Parallel editing creates different file versions that then need laborious consolidation.
As a result, the current utilisation of key people is not always clear, particularly when several projects change at once.
Can Do provides centralised resource management. Each employee has a digital profile containing skills, such as Java development or CAD expertise; roles, such as project manager or Scrum Master; availability; working patterns; and leave. The software plans across teams and simulates scenarios such as: “What happens if project X moves back by two weeks?” This creates visibility without a maze of spreadsheets.
For further reading, the English whitepaper Artificial Intelligence in Project Management discusses AI-supported project planning and its relationship with hybrid project management. Download the English whitepaper (PDF).
Lost time is only the beginning. PMI's Pulse of the Profession® reports have put the average share of project investment lost through poor project performance at around 10–11%, with insufficient visibility, prioritisation and resource management among the contributing issues.
In complex multi-project environments, Excel-based planning does not provide automatic capacity warnings, scenario-based forecasts or consistent skills-based resource planning. McKinsey's analysis of strategic resource allocation also highlights the value businesses can lose when investment and capacity are not consistently directed towards their most important initiatives. The World Economic Forum's Future of Jobs Report describes the growing influence of data analysis and AI on organisational decisions. Skills shortages make this particularly significant. Without planning at skill level, people may not be deployed effectively, affecting deadlines, budgets and planning reliability.
Can Do supports AI-based resource management. It continuously analyses risks, availability and project circumstances, suggests suitable alternatives when resources are overloaded and flags potential overload early:
“What happens if project X is delayed by two weeks?”
“Who can take on the work planned for an employee who becomes unexpectedly unavailable?”
These simulations make consequences visible and provide a reliable basis for decisions grounded in data.
Many mid-sized businesses lack an established PMO. There is no dedicated project office, and resource planning falls to already busy line managers. Excel can initially conceal this structural weakness: charts and utilisation reports suggest that plans are under control. Yet across multiple projects, bottlenecks often become visible only when deadlines slip or employees are overloaded.
Many Can Do customers previously relied on Excel. The important change is the ability to simulate projects before they create real conflicts. New initiatives can be assessed for their effects: where will bottlenecks arise, which resources will become critical, and which projects compete with one another?
Project managers can work by exception rather than micromanaging every detail. The system identifies where action is needed, such as impending overload or schedule risks. Attention shifts to critical issues instead of spreadsheet maintenance.
The Jira® integration connects agile teams to broader project and portfolio management. Scrum team progress can be aggregated and made visible at phase, project and portfolio level. Resources and capacity are included in the overall plan, connecting operational delivery with wider planning.
This creates hybrid project planning that connects traditional network planning with agile delivery. Mid-sized businesses gain visibility, control and the ability to manage projects proactively, supporting sustainable competitiveness.
Can Do provides a platform for integrated resource management. Distributed spreadsheets give way to a central database with digital employee profiles. Skills, capacity, working patterns, leave and recurring workload are maintained consistently throughout the system.
Planning takes place in real time. Work packages can be assigned by drag and drop, and utilisation is calculated automatically, including day-to-day work and concurrent projects. Changes take effect across the portfolio immediately.
AI-supported analysis identifies capacity patterns and emerging bottlenecks and suggests suitable alternatives. Project managers can act ahead of problems:
“One developer is overloaded? Consider a colleague with available capacity and the required skills.”
Demand management is integrated too. New sales enquiries or project ideas can be simulated before approval. Leaders can see how additional projects affect capacity, dates and budgets.
Dashboards provide a consolidated portfolio view of risks, resource utilisation and budget status. Integrations such as Jira®, together with advanced analysis in Can Do BI, connect operational planning to strategic management.
Can Do turns resource planning from manual administration into data-based strategic management.
Mid-sized businesses report faster project approvals, reduced overload and substantial time savings in resource planning.
Alongside greater planning reliability, project managers regularly report specific time savings. Customer discussions frequently identify several hours per week saved through reduced spreadsheet maintenance and fewer coordination meetings. In individual cases, depending on the complexity of the project environment, this can amount to one working day per week.
For business-case calculations with new customers, we use conservative estimates of reduced project administration to make the software's value transparent.
Instead of manually reconciling Excel versions, teams can obtain reliable information for decisions at the click of a button.
Businesses in sectors such as mechanical and plant engineering or IT benefit in similar ways: less manual coordination, better plans and more realistic utilisation management. The main value extends beyond time savings to greater transparency and strategic control across the project portfolio.
Excel has served businesses well for years. Modern resource management in mid-sized businesses now requires portfolio-wide visibility, scenario planning, integrated systems and AI-supported decisions. Can Do brings resource management, hybrid project management and management reporting together in a scalable platform.
It is time to move from spreadsheets to an enterprise solution.
In a free 60-minute live demo, discover how Can Do can replace Excel-based resource planning and help stabilise your portfolio. Our experts discuss your requirements and show how Can Do integrates into your existing systems, with practical examples relevant to your industry.
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