1) Who is it for?
Whether it is BlueCallom or anyone else, Enterprise AI is interesting and strategically important for companies with more than 100 employees.
Who within those companies?
Typically, it’s the CEO or CIO who decides to implement Enterprise AI. It is the biggest shift since the invention of the steam machine, and a farm-owner needed to decide: Ox or Tractor. And that decision was equally far-reaching as the decision of an intelligent company or not.
Enterprise AI is industry-agnostic because every business is a provider of products and services, sells directly to customers (B2B or B2C), or sells indirectly through third-party sales channels. Every enterprise in our focus field has more than 100 employees and thousands of customers, and business is still done between people. Obviously, business models, workflows, and market interactions can vary widely.
Enterprise AI can give companies back what once differentiated them from the competition: highly personalized, culture-specific customer experiences, hyper-specialized products and services, and the speed to adjust them whenever needed or desired.
Enterprise AI Economics by size
Requirements, cost, and productivity gain correlate with size:
100 – 500 Employees
Let’s take a company with 300 employees; roughly 20% may not need AI right at the time you start. But roughly 240 will and may experience a 35% productivity gain. The savings could translate to CHF/€/$ 7 Million*. The energy of that saving can be transformed from routine jobs with less impact to intelligent tasks with higher impact. You will be at the very least 35% more productive, selling more, marketing more, developing more, and producing more with no additional salary expenses.
The annual AI cost for this scenario would be around 500,000*.
500 – 5,000 Employees
Let’s take a company with 2,500 employees; roughly 20% may not need AI right at the time you start. But roughly 2,000 will and may experience a 35% productivity gain. The savings could translate to CHF/€/$ 56 Million*. The energy of that saving can be transformed from routine jobs with less impact to intelligent tasks with higher impact. You will be at the very least 35% more productive, selling more, marketing more, developing more, and producing more with no additional salary expenses.
The annual AI cost for this scenario would be around 6 million*.
5,000 – 50,000 Employees
Let’s take a company with 15,000 employees; roughly 20% may not need AI right at the time you start. But roughly 12,000 will and may experience a 35% productivity gain. The savings could translate to CHF/€/$ 336 Million*. The energy of that saving can be transformed from routine jobs with less impact to intelligent tasks with higher impact. You will be at the very least 35% more productive, selling more, marketing more, developing more, and producing more with no additional salary expenses.
The annual AI cost for this scenario would be around 25 million*.
* = Both salary savings and AO cost are assuming optimal AI utilization.
2) What is Enterprise AI
The most powerful tool Home Sapiens ever built
From PLOW, 8,000 years ago, to the PRINTING PRESS, roughly 600 years ago, to the STEAM ENGINE, about 200 years ago. To the COMPUTER about 100 years ago. We built tools that made our lives easier and brought enormous progress.
Then, ARTIFICIAL INTELLIGENCE for the first time wasn’t about craftsmanship – it was about pure intelligence, capable of competing with the human brain on many aspects – and in ways that were thought to be impossible.
What is Enterprise AI?
It is about making everything we do, produce, sell, market, pack, buy, and so forth more intelligent. Faster and more accurate are the negligible side effects. Yet in today’s economy, speed remains a key value. But the real value is ADDED INTELLIGENCE. The fact that the AI can think, reason, abstract, create, and remember, and that its skills continue to grow.
Enterprise AI is a technology that runs on “normal” computers today but will soon operate on native AI computers or quantum computers. So it is TECHNOLOGY. But a technology that every executive needs to understand, like they understand what a car, airplane, satellite, or nuclear power plant can do. If they don’t, they cannot see the business opportunities that are hidden in AI.
3 things Executives must know
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Enterprise AI Platform
Unlike co-pilots, chatbots, and individual agents, which were built with conventional computer code, Enterprise AI is built with specialized prompts and agent that have no more code to run. They are true Native AI Agents. This gives them the INTELLIGENCE needed.
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Enterprise AI Applications
Unlike co-pilots, chatbots, and individual agents, which were built with conventional computer code, Enterprise AI is built with specialized prompts and agent that have no more code to run. They are true Native AI Agents. This gives them the INTELLIGENCE needed.
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Enterprise AI Economics
Enterprise AI Economics is all about measurable cost, measurable productivity gain, measurable usage, rating, and performance, and intelligent cost optimization.
The corresponding business model is equally important. Everything you do on the platform and its applications is only pay-per-use. So no subscription for users who need access to the system. No product licenses for products you may want to use, no matter how rarely.
Operational Analytics that give you an instant idea, in real-time, of how the system ROI is performing, and an alert as soon as any step no longer produces an ROI.
Some of the most burning Enterprise AI needs we address
Measurability
- Measurable productivity
- Measurable zero user adoption effort
- Multiple systems integration and holistic analytics
- Keeping AI activities under control bu measuring every step
Scalability
- Reliably scaling all aspects of Agentic IT
- Breaking down silos with cross-functional data exchange
- Enterprise AI safety concepts
- Lean compliance management.
Manageability
- Simplified IT management (users, organizations, products, workflows, and more)
- Legacy uncleansed data usage to start with AI right away.
- Cost and ROI management
- Transformative IT cleanup (Decentralized Agentic IT)