![\"Enterprise](\"https:\/\/bluecallomaiacademy.com\/wp-content\/uploads\/2024\/12\/axelschultze_Light_and_bright_background._Create_an_abstract__47d94250-0fd7-4a00-80d2-c28910c4ecb3_1-1030x258.png\" "\\"Enterprise")
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Enterprise AI Business Solutions<\/strong> is the technology of injecting intelligent processes into an organization, networking all departments and business units in a way that silos get connected, friction, productivity leaks get identified and autonomously fixed, data will no longer need to be cleaned up as AI can do that on the fly and operations experience productivity gains of more than 15%. Enterprise AI Management is not replacing the old but orchestrating the new. Today’s Zurich is built on the Zurich from 2,000 years ago. The AI Layer is a grandiose way to build new technology on top of the old without ripping everything apart. We will talk more about the ‘Zurich Model<\/strong>‘ in another post.<\/p>\n Conventional business processes are manually created, suggest specific behaviors for the teams, and, at best, are guided by a computer requesting data entry and output to be visualized, measured, and managed.<\/p>\n Intelligent business processes have significant ‘Intelligence<\/strong>‘ in the processes. What does “Intelligent Processes” mean?<\/p>\n We are no longer dealing with conventional SOFTWARE instead we are dealing with INTELLIGENCE<\/p><\/blockquote>\n Our language is not advanced enough to articulate how AI works, the tangible benefits, and why it matters to you. It’s like our inability to explain how a piano sounds. However, now we have some good use cases:<\/p>\n Chatbots and co-pilots are great tools to start with, but they are far from ‘Mission-Critical<\/strong>‘. By now, over 100 medium\u2014to large enterprises on our platform have evolved with use cases that go far beyond bots and tools. None of the solutions below could be created with conventional software.<\/p>\n Enterprise AI Solutiuons must be Mission-Critical – And thee won’t come from conventionnal software providers.<\/p><\/blockquote>\n When building a new compliance management product for our internal AI product development, we build an agent checking our results against the new EU AI Act. In the beta process, we learned something new: The biggest problem with compliance is that it drags down performance across an entire enterprise because one cannot train and regularly retrain 100,000 employees. So they have to check with the compliance department about every new product, major product updates, new processes and more. So, we enhanced our internal compliance application to a full product so that any employee can ask the agent at any given point in time about their level of compliance.<\/p>\n Initially, they send the agent’s report to their compliance manager, who can quickly determine whether it needs more review or is simply acceptable. The gain is<\/p>\n The bigger the company, the more productivity leaks there are. Many are too small to reach any decision-maker, but they will be accepted. In a 5,000-person company, that may be 100 hours per person per year. In this case, we are talking about 5,000 x 100 x 30 \u20ac = \u20ac15 Million.<\/p>\n Remember that these are the minor issues that arise with every merger or acquisition: new product line, new ruling, new growth step, new market shift, and so on.<\/p>\n And even if some of the best consulting companies could fix it, 12 months late,r they start from scratch. “Change is the new normal”. Intelligent systems consider the change and run continuously, catching new leaks as they arise. This is not a technical solution with complex measurement systems. It is done with a bottom-up approach where the victims of those processes, the employees, can help report their experience, and the AI does the rest. No conventional software could do that.<\/p>\n The biggest advantages include<\/p>\n Many companies were told to stop innovating and fix their problems first. Although this may sound like the right thing to do, it often also influences a nation to deindustrialize.<\/p>\n With an Autonomous Innovation System, we have demonstrated that an end-to-end innovation process can be done in 8 hours. End-to-end means the following process:<\/p>\n Interestingly enough, ideation is just about 12% of the process. Execution is everything. Within 8 hours, the concept and large parts of the execution are done. Human interaction points in every agent delay the process and production development unless robots are directly connected to the solution, which will take another chunk of considerable time. Realistically, a breakthrough innovation still takes one or two months, not five or 10 years.<\/p>\n Ironic – yet so obvious. You have a challenge: use AI. In any situation. Like seeking use cases for AI within your organization. To do that, we created an entire agent set. That does it within 48 hours across your organization.<\/p>\n TRANSFORM is an AI application that lets your employees tell their stories of friction, waste of time, silly rules, uncoordinated processes, old mechanisms, and more. The AI assesses the team’s response in real-time and can help make their story clearer. Then, assess the entire stream of inputs, organize and structure it, and develop the best AI Use cases you could get<\/p>\n Another use case is an AI Agent System that considers all banking data, from annual reports to detailed internal reports and assessments. The agent system aims to reduce the current CIR (Cost-Income Ratio) to below 50% to make the bank healthier.<\/p>\n This solution is exclusively designed for private banks. However, the base architecture and intelligence design could soon be adjusted for retail and business banks.<\/p>\n The core benefits include<\/strong><\/p>\n We are developing Enterprise AI Solutions. These solutions include enterprise organization management, role and rule management, unlimited users, simultaneous processes, autonomous data consolidation in the backend, and countless other unique features.<\/p>\n The average development time of such solutions with conventional software is 3-4 years. We will release approximately one new solution every month. This incomprehensible speed is possible because we use Agentic AI to the max.<\/p>\n This example may be helpful to understand what you could do to make a quantum leap ahead of your competition.<\/p>\nInjecting intelligent processes into your business<\/h2>\n
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The biggest problem with AI<\/h2>\n
Enterprise AI Use Cases Today.<\/h2>\n
\n1) Using Compliance Assessment for Everybody<\/h2>\n
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\n2) Observing and closing Productivity Leaks<\/h2>\n
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\n3) Innovating at unparalleled speed<\/h2>\n
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\n4) Stop seeking your own best use cases. Use AI to do so.<\/h2>\n
\n5) Managing their banking processes like never before is possible.<\/h2>\n
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\n6) Our Own Use Case<\/h2>\n
\nMoving from Theory to Practice<\/h3>\n