Productivity instead of austerity program: How SMEs will truly be relieved in 2026
9 Min. Reading Time
The German mid-market is heading into a discussion in 2026 that could strategically cost them dearly. In almost every second management retreat, a classic austerity program plan is on the table: cutting travel costs, freezing personnel budgets, and postponing investments. This looks like discipline, but it’s often the wrong lever. The cost side of a mid-market company in 2026 is not the real problem. The problem is that productivity per employee in most DACH industries has stagnated for three years, while labor costs and energy prices continue to rise. Those who save first and only then think about productivity are cutting off their future reserves.
Key Takeaways
- Saving without productivity gains is a marginalization path in 2026: Freezing personnel budgets without changing the way of working reduces costs in the short term and market position in the medium term. The mid-market often loses out to more agile competitors.
- Productivity arises from three levers simultaneously: process clarity, targeted digitalization of routines, and AI support at the three to five most important value stream positions. Individual levers without interplay fizzle out.
- Management is a bottleneck factor: Most productivity programs fail not due to technology, but due to prioritization in top management. Those who delegate the topic lose effectiveness.
RelatedCloud Costs are a Management Matter / S/4HANA Migration
Why Pure Austerity Programs are Not Enough in 2026
In the DACH mid-market, the classic cost drivers in 2026 are largely exhausted. Travel costs have structurally decreased by 30 to 40 percent since 2020. IT budgets have been streamlined by many mid-market companies over the past three years. Personnel budgets are capped due to a lack of skilled workers, and wage increases will have to be passed on if employees are to be retained. The remaining savings potential lies in the low single-digit percentage range, often with operational risks.
What has systematically improved since 2024, however, is the toolset for productivity gains. AI assistants are productively usable in many office and knowledge work tasks in 2026, process automation via RPA and workflow tools is standard, and data pipelines can be set up faster than in 2022 thanks to standard platforms. Those who pull the wrong lever are not only leaving cost potential untapped but also forgoing a historic productivity window.
The difference between saving and increasing productivity is substantial. Saving reduces output and input to a comparable extent. Productivity increases output with stable input. Mid-market companies that discuss both without clearly separating the difference often end up with the wrong measure at the right time.
The Three Levers That Really Deliver
Scale 2026
For mid-sized companies in the DACH region with 200 to 1,500 employees, a realistic productivity gain of 8 to 14 percent over 18 months is documented for 2026 if process clarity, routine digitalization, and targeted AI use are implemented together. Pure AI projects without process prerequisites only yield 2 to 4 percent on average.
Lever 1: Process Clarity Before Technology. In many mid-sized companies, important processes exist undocumented, as experiential knowledge of individual employees. As soon as these employees retire or leave the company, throughput times measurably deteriorate. Before every tool project in 2026, a compact process map should be in place: Which five processes generate 70 percent of the value, where are the bottlenecks today, and which interfaces are manual? This takes four to six weeks of effort but provides more clarity than three tool pilot projects.
Lever 2: Routine Digitalization Across the Board. Order processing, invoice receipt, travel booking, simple personnel processes, standard reports: These topics can be made productive within weeks in 2026 using established tools. The effect adds up. Consistent routine digitalization across administration typically saves 12 to 18 percent of back-office capacity in mid-sized setups. This capacity is not allocated to savings programs but to the tasks for which back-office employees were originally hired.
Lever 3: AI at the Three to Five Most Important Value Stream Locations. A lot of money is being wasted here in 2026 because many mid-sized companies are setting up AI as a cross-sectional topic in a corporate style. More effective is a targeted selection: sales lead qualification, offer preparation, technical documentation, customer service triage, product development research. Three to five concrete use cases with measurable KPIs, then scale. A broad AI strategy without a use case focus produces activity, not impact.
A Realistic 18-Month Rhythm
Productivity Program for Mid-Sized Companies 2026/27
Months 1 to 3. Create a process map, identify the top five value streams, and quantify bottlenecks. The management provides a clear mandate for the next months without making immediate tool decisions.
Months 4 to 9. Implement routine digitalization in administration. Replace three to five standard processes, standardize interfaces, and consolidate reporting. Success is measured in released capacity, not in the number of tools.
Months 10 to 15. AI pilot projects at the selected value stream locations. Each pilot has a clear outcome KPI, a steering group consisting of management and department heads, and a maximum of six months of testing per use case.
Months 16 to 18. Scale successful use cases, stop failed ones. Incorporate lessons learned into the process map, prioritize the next wave. The executive board and management review and decide on the next investment wave.
It is crucial that the program is not managed as an IT project but as an operational steering topic. Management and department heads are responsible on a monthly basis, with IT acting as an enabler. Where mid-sized companies confuse these roles, the program typically fails between months six and nine because steering drifts into technical detail questions, and the economic effect is lost from view.
What the Management Must Deliver Specifically
There are three tasks that cannot be delegated in 2026. If you don’t take them on yourself, you shouldn’t start the productivity program.
Firstly: Prioritization. A mid-sized company can’t optimize all value streams at the same time. Management must define the top three to five topics and defend them against other initiatives. If every department gets its own wish, a collection of initiatives without cumulative effect will emerge.
Secondly: Bottleneck management. Productivity usually doesn’t arise where activity is visible, but where it causes wait times today. Management must be willing to look into the value stream and specifically identify bottlenecks. Examples: sales bottleneck due to offer preparation, production release due to manually signed piece lists, order processing due to ERP workarounds. These are unspectacular but balance-relevant topics.
Thirdly: Change management with pace. The workforce quickly recognizes whether a program is serious. If you announce it in month one and don’t deliver noticeable change by month four, you’ll lose momentum. Management must make pace, show quick wins, and openly address uncomfortable topics.
„We had two years of AI initiatives without a clear focus. Only when we reduced it to three value streams and management personally attended the steering committee every month did the effect kick in. In the first year, we achieved an 11 percent productivity gain without cutting a single position.”
— Managing Director of a DACH industrial supplier, 850 employees, annual meeting Q1 2026
Where Mid-sized Companies Still Fall Short of Their Potential in 2026
Three patterns regularly emerge in my consulting practice in 2026. Firstly: Tool enthusiasm instead of value stream logic. Often, the next Copilot or Einstein package is introduced because it’s available, not because it solves a specific bottleneck problem. The licenses remain unused, administration bears the costs, and the effect is absent.
Secondly: Training without application. Many mid-sized companies invest in AI training in 2026 without giving employees concrete workflow changes. The knowledge evaporates within six weeks because daily business doesn’t build upon it. Therefore, training should always be linked to a specific use case, not run generically.
Thirdly: Reporting without impact measurement. There are many programs in 2026 that measure activities: number of pilot projects, number of trained employees, number of tools in use. What’s rarely measured: productivity-effective outcome KPIs like processing time per case, offer-to-closure rate, or number of re-submissions per order. Without an outcome perspective, the program tips into occupational therapy.
Frequently Asked Questions
When is a savings program still the right answer in 2026?
In clearly defined liquidity crises with short-term cash flow pressure. In this case, six months is no room for a productivity program; here, the balance sheet must be stabilized in the short term. In all other situations, the combination of selective saving and targeted productivity investment is the economically superior answer.
Who in the mid-market should operationally lead the productivity program?
Ideally, a person from top management with a mandate and access to all areas. In smaller companies, this is the management itself; in larger companies, it is often the COO or a dedicated transformation manager. The IT management does not lead but provides enablement.
How much budget should be planned for a realistic program?
In DACH mid-market companies, investments over 18 months typically range between 0.8 and 1.4 percent of turnover, depending on the digitalization maturity level. Half of this goes to tools and licenses, the other half to internal capacity, consulting, and training. Amortization usually occurs in the twelfth to eighteenth month.
What is the most common beginner’s mistake in 2026?
Starting with technology, not with the value stream. If someone buys a KI tool in 2026 before quantifying the three most important bottlenecks, they are buying activity without direction. The second common mistake: pilot projects without clear stop criteria. If there is no measurable effect after six months, it should be terminated, not dragged on for another quarter.
How does a productivity program fit with the skilled worker shortage?
Very well, because it precisely relieves where the shortage bites. If someone releases 15 percent capacity in 2026 in back-office processing, they can either no longer advertise the vacant positions or specifically occupy them with higher-value tasks. The program thus becomes a lever for the personnel strategy, not a competitor to it.
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Source of title image: KI-generated via nano