ICB supports companies in ERP implementation, process digitization, and the integration of artificial intelligence into ERP systems—strategically, independently of manufacturers, and with a strong focus on implementation.
20+ years of experience
Modern companies are increasingly relying on ERP systems with artificial intelligence to not only map processes, but also actively optimize them— always with people at the center.
An AI-supported ERP system recognizes patterns, automates processes, and provides data-based recommendations for action that specifically support employees and facilitate informed decisions.
ICB combines classic ERP implementation with innovative ERP automation and AI consulting to effectively connect technology, processes, and employees.
The right time to introduce an ERP system is when existing IT systems no longer support processes consistently, data has to be maintained multiple times, or there is a lack of transparency regarding costs, delivery capabilities, and inventories. Growth, increasing complexity, and regulatory requirements are typical triggers, especially in medium-sized businesses. A modern ERP system creates an integrated database and forms the basis for scaling, automation, and the subsequent use of artificial intelligence.
ERP systems that combine standardized processes, flexible expandability, and cloud capability are suitable for medium-sized companies. The name of the system is less important than its suitability for the business model, processes, and organizational structure. Cloud ERP solutions offer additional advantages such as lower operating costs, faster updates, and the easy use of AI functions such as forecasts, automation, or assistance systems.
Artificial intelligence in ERP systems goes beyond traditional automation. AI recognizes patterns in data, makes forecasts, supports decision-making, and reduces the workload for employees in their day-to-day business. Typical use cases in medium-sized businesses include predictive forecasting in planning, automated document processing in accounting, intelligent approval workflows, and ERP chatbots to support users.
The effort involved in implementing an ERP system depends heavily on project preparation, the defined scope, and the degree of standardization. Medium-sized companies benefit particularly from a structured approach with clear phases—from analysis and design to implementation. Realistic planning, early involvement of the specialist departments, and a standard-based approach significantly reduce risks, costs, and project duration.
Employees are a key success factor in any ERP implementation. Modern ERP systems with AI are not intended to replace employees, but rather to provide them with targeted support. Early involvement, transparent communication, and practical training ensure acceptance and sustainable use. Only when processes, systems, and employees are considered together can an ERP system unfold its full potential.
An ERP system optimizes processes in medium-sized businesses through end-to-end processes, a uniform database, and the use of automation and AI. Standardized processes reduce errors, increase transparency, and create space for value-adding activities. AI-supported functions also enable forward-looking planning, faster decisions, and continuous process improvement.
