How to explore such a transformation

1. You agree on an AI Implementation strategy. This strategy is NOT YET an AI strategy. It defines how you will start and become familiar with a system that exceeds any human’s intellectual capacity. It performs many workflow activities 100 times faster than any employee ever could. HOWEVER: It will not, because it cannot, replace your employees, your management, your existing IT.
2. You make yourself familiar with Enterprise AI, as people did when machines and electricity at scale elevated our society in ways that were unimaginable before. For that, we provide an ‘Enterprise AI for Executives’ program, an ‘Enterprise AI Brain Camp’ for managers and IT leaders, and later on videos for employees.
   
3. You and your team will then learn by doing. Nobody can verbally explain how a Piano sounds (try it). Similarly, you cannot read a book about Enterprise AI and then execute it with a to-do list. Not because it’s too complex – because it allows you to turn your large organization into a unique business like a disruptive startup. You make it a highly agile business that performs more than twice as fast as your competition. It makes your workflow near-flawless, and yet it adapts to change tomorrow and in 2030.

How to actually start the transformation

1. You will start by using AI BEFORE looking for use cases. You start with AI WITHOUT preparing your data through data cleansing. You start with AI before exploring the best starting points, the most important issues to resolve, and the root causes of the biggest challenges. All of the above is done by an AI we call BlueCallom TRANSFORM.
2. You meet with your management team that will work with our team and TRANSFORM. AI will ask open questions: no forms, no checkboxes, no deterministic outcome.  The result is intelligent, compact, to the point, and goes deep into the organization. This is a trust question, because the system needs to know your organization before it can do any meaningful assessment. That is why our team will guide you.
3. Then the report will highlight areas for fast wins, big impact, biggest challenges, immediate productivity gains, rapid customer experience improvements, fast financial improvements, and/or other discoveries. The AI provides suggestions; you will decide.

Implementation with goals and objectives

1. The first implementation is a pilot in a selected area with a selected team and well-defined goals and objectives. Here, the team will develop a performance with twice as much output – whatever it is. It may be limited only by other departments that can’t collaborate fast enough.
2. The top performance in those cases can be achieved already in a few weeks, because the AI-driven workflow intelligence needs only 5 to 20 seconds, sometimes minutes, to complete any task. What the ‘Humans In The Loop’ do is become managers, managing the AI, supervising the output, reviewing the results, and managing the improvements.
3. At this point, a holistic approach is no longer a future vision but a necessity to turn a company into a highly scalable, intelligent, learning organism. The speed of AI will challenge employees to catch up. Everyone will be needed for a flawless, secure workflow.
4. At the end of this pilot project, the teams will explore the learnings, possible improvements, and how to scale.

Scaling the implementation

1. The next phase requires a smart decision about the next department or group where information, workflows, and outcomes are connected to the previous group. This is where software breaks and AI wins. The next group will not only interact team-wise, but also workflow intelligence, information flow, and AI instructions will communicate with each other.
2. The workflow speed and intelligence of one department will now carry over to the next department. Moreover, it may branch out into other departments. At this point, the other departments will turn administrative clerks into managers. Not managers with social responsibilities, but managers of AI agents.
3. Now is the time to pause. Most basic functionalities are learned, tested, and explored. This is the time to think of a corporate AI strategy. Not the strategy to use AI; now every executive, together with their board, is challenged to think highly strategically. The same strategic question every rich farmer had to make: Shall I build a factory and produce motors, electricity, cars, radios, cranes, fridges… or keep my farm? There was no right or wrong answer, and this is likely still true today. A small, specialized company may last a long time before a bigger one acquires it.

EAI is a Journey – not a project

1. Fast and furious is not exactly the perfect way to transform a larger organization. We expect the full transition to a cognitive enterprise to take about 3 to 10 years. Once this first major journey is complete, AI will run on quantum computers and produce even more output, and businesses will be able to create faster and more new products and services than we can even imagine.
2. One of the biggest efforts is already underway and will continue to be spent on energy generation. Once this is achieved, robots that create new and better robots will indeed do it without human effort. Basic human material needs such as food, water, shelter, health care, and human exchange will be guaranteed, so a basic income is not necessary.
3. At that point, around 2035, our human fulfillment effort will drive developments that are hard to predict today. So we leave it up to everybody’s creativity and phantasies – including the darkest doomsday visions or the brightest human growth and fulfillment dreams.