Where are the concrete application areas for AI in controlling? Which goals should be formulated for the application? Under which conditions can AI be used sensibly? At the W&P Digital Event " Artificial Intelligence and its Application in Controlling", W&P gave the attending medium-sized managers recommendations for action for a decision-oriented controlling of the future.
"Artificial intelligence will take a permanent place in controlling and is already making a significant contribution to improving controlling tools," says host Dr. Günter Lubos, member of the management board of Dr. Wieselhuber & Partner (W&P).
As a result of AI, controlling will become faster, more efficient and more meaningful, making targeted and effective corporate management possible in the first place.
He also recommends a step-by-step optimization of controlling processes, starting with routine tasks. The first step is to integrate AI algorithms into software solutions: "Delegating routine tasks to AI algorithms frees up resources for value-adding tasks.
Automated AI forecasts are often surprisingly close to manually created ones - but cost much less time," says Heinrich Nordsieck, CEO of the software provider CoPlanner.
Focus of AI in the area of controlling: The use in the analytical area to improve the informative value of the controlling output. Here, AI offers tools that can be used to improve the accuracy of planning. Plan-actual deviations are analyzed more quickly for their cause, clusters and anomalies in large amounts of data are detected. From the ongoing project support at customers, W&P knows that more than 70 percent of a data-driven project takes place in the explorative data analysis, data cleansing and preprocessing.
Accordingly, "AI projects in controlling will never be a sure-fire success - you need high data quality for reliable information quality!" concludes Lubos.