Artificial intelligence in Corporate Planner
How AI supports planning, analysis and decisions in controlling
How AI supports planning, analysis and decisions in controlling
Artificial intelligence helps companies to understand complex data faster, recognize developments earlier and make more informed decisions.
In Corporate Planner, AI functions are integrated directly into the platform and support users exactly where they work on a daily basis: in planning, analysis and reporting.
From automatic anomaly detection and daily trend forecasts to intelligent structure processing: AI helps to make better use of data and make processes more efficient.
Not as an experiment, but as an integrated function of the corporate planning platform.
Companies today are working with ever larger volumes of data and more complex planning structures. At the same time, the requirements for speed and accuracy of decisions are increasing.
Artificial intelligence can support controlling teams in this,
Corporate Planner uses AI specifically where it delivers real added value in controlling.
In Corporate Planner, AI is not a separate product, but part of the platform.
This means
AI thus becomes a practical tool in controlling, not an additional technical complexity.
In large amounts of data, unusual developments or incorrect values often remain undetected for a long time. Especially with complex planning and reporting structures, it is difficult to detect deviations at an early stage.
The integrated AI analyzes the available data and automatically identifies correlations and developments. This makes anomalies visible across large volumes of data, even where they remain hidden in manual analyses.
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Forecasts are often only updated at fixed intervals, as their preparation involves a great deal of manual effort and coordination processes. Between these points in time, there is no up-to-date view of the development, which is why deviations often only become visible at a late stage.
The AI automatically calculates a daily trend forecast based on current data without the need to initiate a manual forecasting process. Patterns, such as seasonalities, are recognized in the data and included in the calculation. This results in a continuously updated assessment of target achievement.
Reporting structures form the basis for planning and reporting.
These structures can be very complex and have a direct impact on reports and evaluations. Changes therefore often affect several levels simultaneously.
Adjustments and maintenance are therefore time-consuming, error-prone and require a good understanding of the existing structure.
AI supports the processing of structures in Corporate Planner by analysing report structures and automatically recognizing correlations.
On this basis, it suggests targeted adjustments and helps to implement changes consistently.
This makes even complex structural changes manageable.
Current functions already provide concrete support in day-to-day work by evaluating data, making correlations visible and enabling more informed decisions. The further expansion is specifically geared towards real requirements in planning and analysis and is gradually expanding the use of AI to include additional fields of application.
The AI functions in Corporate Planner support controlling teams, especially where large amounts of data need to be analyzed or developments need to be identified at an early stage. They help to understand correlations more quickly, identify anomalies and make well-founded decisions.
Typical areas of application are, for example
Early warning system for operational control
In dynamic business environments, key figures can change faster than traditional reporting cycles.
AI can automatically monitor developments in data and provide early indications when important key figures change unexpectedly.
This gives controllers quicker indications of possible risks or opportunities and allows them to carry out in-depth analyses in a targeted manner.
Prepare management more quickly for developments
Managers often need a quick assessment of how current developments could affect sales, costs or earnings.
AI-supported analyses help to classify current data more quickly and enable a well-founded assessment of future developments.
This enables controlling teams to prepare reliable statements for management decisions more quickly.
Keeping the complexity of growing data structures manageable
Data models, dimensions and structures also grow with increasing company size.
AI can help to recognize correlations within such structures more quickly and implement adjustments more efficiently.
This makes it easier to deal with complex planning and reporting models and reduces the amount of manual maintenance required.
Supporting data-driven decisions throughout the company
Controlling provides the basis for many operational and strategic decisions.
AI can help to analyze data faster and make relevant developments visible.
This enables specialist departments, management and controlling to react more quickly to changes and make more informed decisions.
In dynamic business environments, key figures can change faster than traditional reporting cycles.
AI can automatically monitor developments in data and provide early indications when important key figures change unexpectedly.
This gives controllers quicker indications of possible risks or opportunities and allows them to carry out in-depth analyses in a targeted manner.
Managers often need a quick assessment of how current developments could affect sales, costs or earnings.
AI-supported analyses help to classify current data more quickly and enable a well-founded assessment of future developments.
This enables controlling teams to prepare reliable statements for management decisions more quickly.
Data models, dimensions and structures also grow with increasing company size.
AI can help to recognize correlations within such structures more quickly and implement adjustments more efficiently.
This makes it easier to deal with complex planning and reporting models and reduces the amount of manual maintenance required.
Controlling provides the basis for many operational and strategic decisions.
AI can help to analyze data faster and make relevant developments visible.
This enables specialist departments, management and controlling to react more quickly to changes and make more informed decisions.
Artificial intelligence is particularly useful in controlling environments with large amounts of data, complex structures or high requirements for timeliness and transparency.
The use of AI is particularly helpful in the following situations, for example:
The AI in Corporate Planner is based on the powerful Proalpha AI Platform and combines controlling expertise with specialized AI technologies. This results in solutions that have not been developed in isolation, but are based on proven methods for structured and unstructured data.
Modern methods are used for forecasts based on structured data, while information can be extracted from unstructured data at the same time. This combination enables a well-founded evaluation of a wide variety of data sources - directly in the controlling context and without additional system breaks.
This results in reliable findings that provide finance teams with targeted support in planning, analysis and decision-making:
In this way, Corporate Planning combines specialist depth in controlling with powerful AI technology for solutions that work in day-to-day operations and deliver real added value.
Let's analyze together how AI can transform your planning.
Here you will find the product sheet in PDF format for Corporate Planning. You can view or download the data sheet directly on screen. Would you like to find out more about how you can exploit the full potential of financial controlling? Arrange a consultation or demonstration with one of our consultants.
What do the software solutions from Corporate Planning achieve in practice? - No one can tell you better than the companies that use them every day. An overview of some of our customers' impressions.
The flexible and powerful solution of the Corporate Planning software enables us to map all processes and scenarios holistically and more easily. We were also impressed by the fact that no programming knowledge is required to create new reports.
The corporate planning software bundles all data sources and provides a good overview thanks to its tree structure. Navigation through the data volumes is clear and simple, and key figures for reporting can be set up quickly and comprehensibly.
We have been using Corporate Planner for over 20 years. The solution allows us to optimally map new and increasing requirements time and time again. We greatly appreciate this flexibility and the continuous further development of the Corporate Planning software.
The Corporate Planning software is intuitive and has an appealing user interface. The business logic included in Corporate Planner Finance enables a quick rollout and immediate use of the software.
The AI in Corporate Planner is not a separate analysis tool, but is integrated directly into the existing planning, analysis and consolidation processes. As a result, it works with the same data, structures and logics that are also used in controlling.
In contrast to many classic AI solutions, which are used in isolation and require additional integration work, the added value here is created directly in the work context. Results are directly traceable and can be further processed without changing systems.
At the same time, the AI is based on the Proalpha AI Platform and combines specialized technologies for structured and unstructured data. This results in well-founded forecasts, early indications of anomalies and a context-related basis for decision-making, tailored to the requirements of controlling.
Artificial intelligence can help controlling teams to analyze large amounts of data more quickly, identify anomalies at an early stage and better assess developments.
In Corporate Planner, for example, AI functions help to identify unusual deviations in financial data, forecast trends based on current data or process complex structures more efficiently.
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The use of AI is particularly worthwhile in companies with large amounts of data, complex planning structures or high demands on the timeliness and transparency of analyses. AI can help to identify developments more quickly, speed up analyses and better support decision-making processes.
The reliability of AI forecasts depends largely on the quality and structure of the underlying data. In Corporate Planner, the AI accesses consistent, integrated data from planning, analysis and consolidation, taking into account patterns such as trends and seasonalities.
This results in reliable forecasts that serve as a sound basis for decision-making. At the same time, the results remain verifiable at all times and can be placed in a business context.
No. The AI functions are directly integrated into the Corporate Planning platform.
They support various areas of controlling within Corporate Planner, for example when analyzing data, forecasting trends or processing planning structures.
The AI results in Corporate Planner are prepared in such a way that they remain understandable and comprehensible in a controlling context. They are based on the existing data structures and are embedded directly in the usual evaluations and reports.
This allows correlations to be recognized transparently and results to be checked in detail. AI supports analysis and classification, but does not replace the controller's professional evaluation.
No. AI does not replace controllers, but supports them in their work.
It helps to analyze large amounts of data more quickly and make anomalies visible. Interpreting the results and deriving measures remains the task of the controller.