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We support companies in the digitalization of processes, customer relationships, and organization—with a clear focus on measurable results.
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Artificial intelligence offers enormous potential—but it is crucial to identify the right use cases and implement them in a way that allows them to be integrated into existing processes and systems.
A medium-sized B2B company optimized its sales processes with ICB by implementing a modern CRM system with AI-supported lead scoring and automated next-best actions.
An industrial company introduced a modern cloud ERP system with ICB and expanded its planning capabilities with AI-supported forecasting models for material requirements and production.
In a compact workshop, we work with you to identify the most important AI use cases for your company—including a roadmap, costs, and business case.
Artificial intelligence (AI) describes technologies that can analyze data, recognize patterns, and automatically support processes. In a business context, AI is primarily used to improve data-based decisions, make operational processes more efficient, and personalize customer interactions. ICB supports companies in using AI not as a trend, but as a concrete lever for measurable business value.
ICB integrates AI specifically into modern ERP and CRM system landscapes. Typical use cases include predictive forecasting in the supply chain, automated lead scoring in sales, and intelligent service classification in customer management. The focus is always on the question: Where does AI create real added value for processes, productivity, and customer experience?
AI solutions that can be implemented quickly and are cost-effective are particularly suitable for small and medium-sized businesses.
These include, among others:
- Automated document processing in finance
- Forecasting for purchasing and production
- Next best action recommendations in sales
- AI-based process optimization and workflow automation
ICB helps companies pragmatically identify and implement suitable AI use cases.
Yes. Many modern AI applications do not require large amounts of big data, but can already deliver valuable results using existing ERP or CRM data. The key is to have a clean database and clearly defined processes. ICB provides support for data quality, system integration, and the gradual introduction of AI functions.
Many companies achieve initial AI-based efficiency gains within just a few weeks—particularly through automation and intelligent analytics. ICB often relies on MVP approaches, in which initial AI use cases quickly become productive and are then expanded in a scalable manner.
Automation and AI go hand in hand: automation ensures efficient processes, while AI enhances them with intelligent decision-making logic. Together, they enable self-optimizing workflows, forecasts, and assistance systems, for example. ICB combines process consulting, digitalization, and AI technology to create an integrated transformation solution.
For ICB, AI is not an end in itself, but a strategic lever for measurable business impact. Our focus is not on buzzwords, but on concrete improvements: higher productivity, better decisions, optimized processes, and competitive advantages through intelligent systems.
