Leverage AI To Boost Decision Intelligence

Decision Intelligence For Everyone.

For Transport & Logistics

Reduce costs

For Project Leaders

Guidance on duration and team configuration impact

For Executives

Get execution in line with the business goals

For Sales & Marketing

Get back to growth

For Human Resources

Hire resources who stay longer

For IT

Discover the platform and the best way to adopt AI

33% of large organizations will have analysts practicing decision intelligence by 2023 

'The future of Decisions' - April 2021

Why Decision Intelligence Matters

Aligns objectives & stakeholders

To achieve optimal results, the future effects of decisions need to be taken into account. As a result at the moment of decision, multiple – often competing – objectives need to be optimized at the same time.

Best of human & AI decision-taking

Both humans, data analytics and artificial intelligence have their strengths and weaknesses in decision-taking and processing feedback. Execute with the right balance and your business results will flourish.

Consistent decisions

The capability to capture and apply data driven learnings within the right context across the organization will help you to take the best personalized and consistent decisions.

Agile decision-taking

Because the platform is composable from nature, the decision processes and algorithms can be changed, making you super agile.

Easy AI adoption

To put AI to work we embed it between the data and the business processes via a structured process so adoption becomes easy. This is a major advantage to keep up and rollout the latest and maintain them at low cost. 

Trustworthy AI & Governance

You'll be able to reap the benefits as people will trust and understand the guidance they receive. As a company you can benefit from the embedded governance and risk management framework.

Decision intelligence is the new business intelligence

Decision intelligence (DI) goes one step further than business intelligence, by not just providing decision augmentation - giving the information people need to make better decisions - but it will also deliver decision automation - fully automated decisions within seconds, seven by seven.

If it cannot or is not allowed to make the decision itself, the decision is rerouted to the right person who will also receive the created

insight whereby the key inputs are highlighted. As such, your staff can focus on taking the right decision as opposed to information gathering.

Maybe this sounds to you like Artificial Intelligence (AI) and it's certainly plays a role. However, AI alone has historically failed to achieve the level of automation in all but a few cases and those projects have a sad track record of failing in 80% of the cases.

To optimize decision-taking within real business processes in production, we need something new. This secret sauce is called 'context'.


People will rarely take decisions without context, but so far we expected computers to do so.

Imagine buying a house. You wouldn’t simply look through the window and say, “This will be my new home”. You would open the door and walk in, look at all the rooms and assess the condition, the roof, plumbing, electrics, windows, and heating – this is the 'internal data'. You would then walk and drive around the neighborhood, the local schools, shops, sport facilities, public transport, the value of properties in the area, and you probably even will have a chat with the neighbors – this is the 'external data'.

The combination of 'internal' and 'external data' and the insights from it against certain decision criteria, is key in making optimal decisions and is what we call 'context'.

We need to do the same for our business decisions, bringing data together from different sources, extract insights from it against certain business goals and use this context for making decisions that result in optimal outcomes.

For example when you're looking to grow your business, you can look at 'internal data' like order data, from which you can learn who are your best customers, what did they and didn't buy, what are they clicking on on your website, customer surveys, etc.

You could then have a look at external data like financials, size, location, location of the competition, , etc.

From this internal and external data you can learn what is defining your best customers, which you then can use to find more of them. You can learn which product or service would be the best to start a marketing campaign for to achieve your goals the fastest. Or pro-actively detect which customers will leave and get the best recommendations to keep them.

Learn More About The Cnext Decision Intelligence Platform

  • Cnext Decision intelligence (DI) provides a framework for new best practices in organisational decision-making and processes for deploying enterprise AI. 
  • It acts as a coach and empowers people to make the best decisions with the growing expertise and experience from within the company.
  • Gartner has tipped it as the near future of corporate decision-making.

Ready For Your Success Story?

Let's introduce ourselves and show you the possibilities

Download this E-book now, don't worry, it's completely free!

Why the Business World Needs Decision Intelligence?

  • What are the differences between Business Intelligence, Artificial Intelligence, and Decision Intelligence?
  • The role of intelligent systems in business
  • What are the biggest hurdles for Business Intelligence?
  • Shortcomings of Artificial Intelligence
  • Benefits of decision modeling
  • Why Decision Intelligence is so powerful