Simplifier makes platform investments predictable: transparent licensing costs instead of usage-based service credits, with a return on investment (ROI) typically achieved within 12 months.
Simplifier combines transparent licensing costs with proven savings from reference projects. The TCO advantage over SAP BTP is up to 40%—and in the SAP Clean Core context, OPEX can be reduced by up to 70%. We’ll work with you to determine which comparison basis applies to you during our Discovery Call.
The ROI is not estimated but is calculated based on actual reference projects.
Where do manual tasks, media breaks, errors, or long processing times occur?
Evaluate current process costs, volume, error rates, processing times, and system resources.
Classify benefits, integration effort, governance requirements, and time to value.
Consider not only the build effort, but also operation, maintenance, monitoring, updates, and expansion.
First, quick wins; then, a scalable process and AI agent landscape.
Typical benefits include reduced manual processing, shorter turnaround times, fewer errors, better data quality, and less time spent on reconciliation.
Standalone solutions often seem cost-effective for the first use case. However, with each additional use case, maintenance, integration, documentation, and operational costs increase. A shared platform reduces these scaling risks.
For AI agents, it’s not just LLM or token costs that matter. Other relevant factors include process volume, integration effort, governance, monitoring, human-in-the-loop oversight, and the productive benefits during ongoing operations.
Source code ownership, deployment freedom, and a controlled runtime model reduce strategic dependencies and strengthen the customer’s long-term negotiating position.
Licensing Model: No licensing costs, but high personnel expenses.
Time-to-Value
It usually takes months to reach the first release.
Maintenance: To be borne entirely internally.
Exit Costs
Low platform dependency, but knowledge is often tied to specific individuals.
Licensing Model: Usage-Based Service Credits.
Time-to-Value
Depends on the BTP setup.
Maintenance: Partially handled by SAP, but tied to BTP.
Exit Costs
Potentially high if BTP exposure is low.
Licensing Model: Transparent licensing costs, depending on the selected plan.
Time-to-Value
First results after about 4 weeks.
Maintenance Reusable components reduce maintenance requirements.
‘s exit costs are low—thanks to source code ownership and the absence of a black box.
AI agents generate an ROI of over €1 million annually in real-world processes. The automation goes live in about 8 weeks—without an 18-month project and without CAPEX risk.
Digitized Load Control:
Centralized Master Data Management:
The payback period depends on the use case, integration effort, process volume, and operating model. In suitable projects, an investment in Simplifier can pay for itself within 12 months. However, reliable ROI estimates should always be validated based on specific processes, costs, and potential savings.
Simplifier relies on predictable licensing models rather than purely usage-based service credits. This increases cost transparency for production apps, workflows, and AI-powered processes. Specific licensing terms are based on usage scenarios, user groups, operating models, and project scope.
Running costs depend on agent usage, connected LLM or AI services, process volume, and the operating model. The key factor is not just token consumption, but the productive process value relative to operating expenses, governance, and the benefits of automation.
In-house developments often result in follow-up costs due to maintenance, staff turnover, lack of documentation, custom integrations, security audits, and monitoring. Simplifier reduces these risks through reusable components, standardized integration, centralized governance, and a production-ready runtime model.
The initial setup is only part of the total cost. The business case primarily involves operations, maintenance, security, monitoring, updates, integrations, and lifecycle management. Long-term operations become particularly critical when there are multiple apps, workflows, and AI use cases.
No. ROI figures, TCO benefits, and savings from reference projects are not automatically transferable. They depend on process complexity, the system landscape, the number of users, the operating model, and the existing workload. Reliable conclusions require a customized business case analysis.
Simplifier helps evaluate AI use cases based on their productive process value—not just on technical feasibility. Key factors include automation potential, process volume, integration needs, governance requirements, operational overhead, and measurable business impact.
Simplifier makes business cases easier to plan because apps, workflows, integrations, and AI-powered processes are operated within a common runtime and governance model. This reduces the need for custom development, increases reusability, and provides transparency regarding operation, maintenance, and expansion.
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