The progress of traditional enterprises is hindered by their decision-making abilities, causing them to become inefficient in the face of growing challenges. This requires a fundamental shift by which enabling technologies, led by Decision Intelligence, are used to achieve accelerated growth and transform enterprises into Cognitive Enterprises.

human-machine collaboration

Successful enterprises lead by their ability to make decisions with speed and accuracy. Although most enterprises still depend on humans to make decisions, machines could support and/or control decision-making for enterprise functions and processes. We are at a point in time in which a new synergy between humans and machines is being established to drive the enterprise to achieve accelerated growth.

Cognitive Enterprises use technologies that have the ability to explore, predict, make and execute the right decision at the right time to accelerate enterprise growth.


Cognitive enterprises
thrive on net impact

To achieve accelerated growth, enterprises need to make fast and accurate decisions across their functions. Cognitive enterprises are designed to recommend actions or actively take those actions to maximize impact. This creates a faster, more sustainable and more profitable way of working.

The phenomenon of
accelerated growth

It has been proven that accelerated growth is possible in Cognitive Enterprises. Ride-Hailing apps (e.g., Uber) are an instance of a partially cognitive enterprise in which their pricing, routing, and driver-rider mapping functions are done cognitively, in that the core decisions of these functions are made by the machine. These enterprises focused on making their core functions cognitive to penetrate a saturated and competitive market aggressively.

Accelerated Growth is a phenomenon that occurs when an enterprise competes aggressively in a market and grows at a faster rate than other similar companies.




Many leaders in recent years have considered transforming their enterprises to become more cognitive and deliver impact. In fact, investments in cognitive transformations have exceeded $240 Billion in 2022 alone. However, according to multiple sources, 85% of transformation solutions fail to create value. We examined the common properties of status quo methods and concluded two significant pitfalls.

Lack of

Cognitive transformation projects often lack strategic direction, clear objectives, and a successful roadmap.

  • 80% Of transformation projects do not have a strategic roadmap
  • 42% Of transformation projects do not tackle the right problems
  • 85% Of transformation projects do not have feasible targets


Cognitive transformation often leverages complex tools that overwhelm decision makers rather than provide clear actionable recommendations.

  • 47% Of enterprises say it is hard to integrate cognitive solutions with existing processes
  • 40% Of enterprises say transformations projects are too costly
  • 70% Of enterprise solutions indicate minimal to no impact on enterprise performance