hM© - AI as the key to transformation
In a world where the rate of change is increasing exponentially, the ability to transform is critical to the success of companies. While the concept of Collective Intelligence Design (CID) promoted collaboration and collective intelligence in the past, HM© goes one step further. The integration of artificial intelligence (AI) drastically increases the ability of organizations to transform by optimizing decision-making processes and accelerating innovation cycles.
This article describes how HM© helps companies become more efficient and adaptable by combining human intelligence and AI and thus drive their transformation forward.
1. From Collective Intelligence Design (CID) to HM©: An evolution of transformation
Traditional Collective Intelligence Design is based on the structured use of teams' collective intelligence to develop creative and efficient solutions. But in times of digital disruption, it is not enough to rely solely on human collaboration. Companies must be able to react faster and more precisely to changes — and this is where HM© on.
The targeted integration of AI into the CID process creates a hybrid model that enhances the collective intelligence of people and at the same time supplements it with data-driven analyses and automation. HM© is specifically designed to transformational ability by enabling organizations to adapt more quickly to market changes, make better decisions and accelerate innovation processes.
2. The revised CID process as HM©: Artificial intelligence to strengthen transformation capabilities
HM© transforms the classic CID process by integrating AI at key points to improve the agility and efficiency of transformation processes. The revised process is presented below:
Step 1: Problem definition and goal setting
As the human team defines the problem, the AI analyzes historical data and recognizes patterns that provide clues to potential challenges or opportunities. This synergy helps the company gain deeper insights and define strategic goals more clearly.
Step 2: Idea generation and knowledge aggregation
HM© extends this step with **AI-supported creativity tools**, which recognize new patterns from existing data and make innovative suggestions. This addition speeds up the innovation process and increases the hit rate of promising ideas.
Step 3: Validation and Prototyping
In the HM© process, ideas are validated by **AI-based simulations and predictive models**, which run through various scenarios and predict what effects certain decisions could have on the company. This allows transformation ideas to be validated faster and more precisely.
Step 4: Iterate and optimize
HM© optimizes this step through **machine learning algorithms**, which learn on the basis of every iteration and make continuous automated adjustments. This enables companies to react more quickly to changes and drive transformation projects forward more efficiently.
Step 5: Deploy and Scale
HM© integrates **AI-powered decision systems** that provide real-time data to implement and scale transformation projects. This enables companies to make faster and more informed decisions and measure the success of the transformation.
3rd success story: Unilever uses AI to transform innovation
An outstanding example of using AI to promote transformational capacity is Unilever. The company has revolutionized and accelerated its innovation processes through the use of AI and digital tools. In collaboration with partners, Unilever uses AI to develop new products and improve existing formulas. One example is the development of stronger, sustainable enzymes for cleaning and laundry products, which reduce the use of ingredients by almost 50% and increase performance. Thanks to intelligent protein design technology and AI, this process was completed in just 18 months — five times faster than originally planned.
Unilever also uses in its global innovation centers In silico technologies, which virtually simulate millions of recipe combinations. This technology is used, for example, to develop new, healthier foods such as Knorr products or when switching to plant-based alternatives in Hellmann's Vegan Mayonnaise. AI helps Unilever bring innovative products to market faster, significantly improving the company's agility.
These initiatives illustrate how AI is helping to shorten Unilever's innovation cycles and increase efficiency in product development — a prime example of the transformative power of HM©.
conclusion
HM© is the answer to the increasing demands on companies' ability to transform in a rapidly changing world. By integrating artificial intelligence into the CID process, companies like Unilever can accelerate their innovation cycles, react faster to market changes and make more informed decisions. The synergy of human creativity and data-driven efficiency makes HM© an indispensable tool for companies that want to actively shape their future.