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 Plan the future as precisely as reality 

Our artificial intelligence ensures that planning errors, unpredictable risks and project schedule overruns belong to the past.

Seizing opportunities instead of succumbing to the pressure of change

Business models are subject to increasing competitive pressure on the market. The demands of customers are changing, especially with regard to speed and quality in meeting their needs. This development is also being passed on to the companies themselves. An organization should and must be able to act flexibly and networked in order to plan and implement projects in the best possible way. As a result, people are increasingly working on various tasks across disciplines and locations. But how exactly do decision-makers move from vertical to overall planning? How do you deal with the increasing complexity of information?


Managing complexity


The ever more complex organizational processes and the associated interest in certain planning skills require new, holistic planning strategies and the greatest possible transparency. AI-supported systems offer valuable support for this. Software-based on algorithms compresses a multitude of data into valuable information. These provide a reliable basis for decisions. This is a procedure that has a positive effect in two aspects: In addition to the considerable time and cost savings, the company also achieves a significant increase in efficiency, as the analysis of complex interrelationships is considerably simplified.


Increase quality with skills


The management gets insight into the actual state of planning and the future needs of different skills within the organization in the form of clear dashboards. Planning is becoming increasingly important, taking into account the skills available in the company. Decision-makers know in good time which qualifications are needed at which location and for what period of time. In this way, they can ensure global capacity utilization for all parts of the company through optimal employee deployment. Planning on the basis of skills thus becomes the decisive success criterion in order to be able to implement digitization projects faster and with increased quality.


Gain scope


In addition, an AI manages simple routine activities. For example, it can make recommendations for action in order to force intervention in risky planning situations. Especially when implementing different projects, an AI-based software captures and analyzes the manifold planning dependencies and interrelations faster and more comprehensively than any human could ever do. It offers an overview at the push of a button, creates flexibility and expands decision-makers' scope for action. With a pre-selection of task and problem areas in which management should intervene, it makes a significant contribution to risk avoidance.

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