A holistic approach and technology for enterprises
Far more than technology
Enterprise AI is the biggest shift in business management since the invention of the computer. It isn’t just a technology; it is intelligence to a degree that has already exceeded human capabilities, like cranes exceeded human muscle power. In both cases, those who leverage the new inventions to their advantage are in a lead position.
Enterprise AI is a holistic approach to a profound elevation of operational efficiency, data usability without data cleansing, a way where the system adopts to humans and not the other way around.
It’s a model that determines how your organization can scale and evolve in the near and far future. And yes, it is also a technology.
BlueCallom·AI’s intelligent and adaptive workflows drive operational excellence and lead to Exponential Productivity. There are key social aspects to consider:
1) The application’s intelligence makes it easy to work with on the user side, and no change management is needed.
1) The application’s intelligence makes it easy to work with on the user side, and no change management is needed.
2) Skilled labor shortage finds an end as employees can learn by doing, guided by the AI.
3) Employee satisfaction grows because the AI is taking boring jobs off and helps with complex tasks.
3) Employee satisfaction grows because the AI is taking boring jobs off and helps with complex tasks.
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.
Typically, it’s the C-Level who decides to implement Enterprise AI. It is the biggest shift since the invention of the steam machine. Now, a company not only gets technology but also thousands of additional intelligent beings.
Enterprise AI Economics by size
Requirements, cost, and productivity gain correlate with size:
100 – 500 Employees – A Midmarket Service Business Example
Let’s take a Service Business company with 300 employees; roughly 20% may not benefit from AI. But roughly 240 will and may experience a 35% productivity gain. The savings could translate into 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 leverage the productivity gains to sell more, market more, develop more, and produce more with no additional salary expenses.
500 – 5,000 Employees – A Freight and Logistics Business
Another case is a logistics company with 2,500 employees; roughly 20% may not need AI right away when you start. But roughly 2,000 will and may experience a 35% productivity gain. The savings could translate into CHF/€/$49 million*. The energy of that saving can be transformed from routine jobs with less impact to intelligent tasks with higher impact. You will be selling more, marketing more, developing more, and producing more with no additional salary expenses.
5,000 – 50,000 Employees – A Technology Company
A Technology company with 15,000 employees; roughly 5% may not need AI at the start. But little over 14,000 will and may experience a 40% productivity gain. The savings could translate to about CHF/€/$ ½ Billion*. The energy of that saving can be transformed from routine jobs with less impact to intelligent tasks with higher impact. Also, here, selling more, marketing more, innovating more, developing more, and producing more, with no additional salary expenses.
2) Enterprise AI Technologies & Business Model
A technology that has two layers, an intelligence layer and a computational layer.
Three things Executives should know
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Enterprise AI Applications
Unlike co-pilots, chatbots, and individual agents, which are still built with conventional computer code, Enterprise AI requires a Native AI Architecture to make every step, every move, and every task within the application intelligent. This is also the Intelligence Layer. The biggest problem with conventional software is its hard-coded core with millions of lines of code. Moving from unintelligent code to intelligent workflows makes the difference one expects from AI. Agents and other tools glued to that conventional core are neither gaining much productivity nor providing the new functionalities AI can offer, such as reasoning, learning, and intelligent assessment.
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Enterprise AI Platform
The enterprise AI Platform “AgenticBlue” has four unique functionalities:
1) Manages all AI Assets (Agents, Applications, Models, and Functions to ensure measurability, manageability, and scalability. The Neuro-AI-Fusion technology keeps workflows active for months and years.
2) Manages data so selected data can be used across silos without compromising data protection, privacy, or compliance rules. This is how data cleansing is no longer needed, and your corporate knowledge base is finally possible.
3) Operates a unique AI Network Management so that business partners, alliances, and other external organizations can be included into an intelligent workflow.
4) It provides connections to existing systems, including APIs, databases, data lakes, specialized functions, AI models, and algorithmic AI services for complex math or calculations that require repeatable, exact results. The platform also offers Analytics Chart engines, AI Network Management, User and Organization management, and more. -
Enterprise AI Economics
Enterprise AI Economics is all about measurable costs, measurable productivity gains, measurable usage, ratings, performance, and intelligent cost optimization.
The corresponding BlueCallom business model is structured so businesses can see productivity and consumption in real time and achieve instant ROI.
No subscriptions for users and no licenses for products. Customers only pay per use. Since we know the approximate cost for any operation, we can also offer fix fees.
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
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)
Scalability
- Reliably scaling all aspects of Agentic IT
- Breaking down silos with cross-functional data exchange
- No change management necessary
- Enterprise AI safety concepts
- Lean compliance management.