08:30 Networking

Coffee and gipfeli

09:00 Program Introduction

Introducing each other and possibly building a network of AI thought leaders, from an industry, economic, and societal point of view.

09:10 AI is an executive responsibility before it becomes an IT task.

1. You don’t need to be an engineer to make strategic decisions about AI.  You know a lot about financial controlling, what a motor does, the impact of energy, what a supply chain is, what to expect from a sales forecast, what a spreadsheet is, how to read a balance sheet, and how to use ChatGPT.
2. Now is the time to answer some of the most strategic Enterprise AI questions and make the right decision on how your leadership team will unlock a power that still feels very fuzzy:
   
   * What exactly is Enterprise AI?
   How can I explain it to my board or investors?
   * What about Clean Data
   You do not need any “Data Cleansing” to leverage AI.
   We go into details and what you need to consider.
   * Is ChatGPT, Co-Pilots, and Agents a flop?
   No, not at all. Like WORD, or EXCEL they are important office
   tools. But no mission-critical solution.
   * How can I use AI to compete in my market?
      What new methodology is behind it
   What are the methods in Sales, R&D, Innovation, Compliance…
   * What about the future of work in my company?    Will we need to let go of employees, and exactly why and how
   Or will the future be very different, and we keep creating jobs
   * How will I scale the utilization of AI?
     Every machine is sooner or later measured by its utilization
   What effect will it have on my business
   

09:30 Enterprise AI is far more than just technology.

1. Your IT team will be responsible for AI implementation, usage, security, assessments, management, and other related tasks. BUT:
   

   YOU CANNOT DELEGATE THE DECISION HOW YOU TAKE THE WHOLE COMPANY TO THE NEXT LEVEL BY LEVERAGING AI

   For delegating this responsibility, you will want to know what the IT team can do and how other departments will be involved. What shall be the long-term vision, the midterm engagement, and how to pull it off?

2. Empowering teams of all levels. While Enterprise AI is built on technology, it is foremost an added intelligence for your business.
   – How will this actually work in reality?
   – What does it mean to my existing IT infrastructure
   – What about data security?
   – What skills are needed? What education is available?
   – How will the team respond to it.
3. Imagine you run a company with 500 or 5,000 employees and, over the next 2 years, you will employ an additional 10 intelligent units for each employee. That would be between 5,000  and 50,000 intelligent beings in your company. They do intelligent work, they are absurdly fast, and you should know. What path will you take to get there?
   

   Artificial Intelligence is your most Mission Critical Engagement.

All of this is not future – it exists today and has a proven track record.

10:15 Use Cases

We show you existing Enterprise AI solutions, their workflows across different departments, and how they work today.

1. SALES – We show you how an AI-driven sales process works, so that sales teams spend 80% of their time with customers and max. 20% of their time with sales administration. Why don’t they produce sales reports, make sales forecasts, and manage funnels anymore? It would have been impossible with conventional software systems.
2. INNOVATION – We show you how AI-driven autonomous innovation can complete the innovation process from ideation to blueprint creation and Go-To-Market in 4 hours, while the innovation team of the past would hold an introductory meeting, preparing for a 6-month process. Also, this is only possible with Native-AI Solutions.
3. COMPETITION – We show you how an AI-driven Competition Management System helps executives observe their market, competitors, and technology evolution in real time, make recommendations, and prepare for execution of a market response before you enter the office in the morning. Also, this would have been impossible with conventional software systems.
4. COMPLIANCE – We show you how teams do their compliance check before they get an approval, and the Compliance Manager can focus on difficult cases only. And again, this would have been impossible with conventional software systems.
5. EXECUTIVE SEARCH – We show you how modern executives are searched, evaluated, rated, and recommended using high-performance AI and deep research. AI became not only a technology that an executive can have in their organization, but also an evaluation of how well they did it.
6. AI USE CASE HUNT – If you look for use cases to start with AI, consider this. Your team will look for ways to leverage AI based on their experience with ChatGPT or other tools. Their experience limits their thinking; the output is limited accordingly, and the progress is most likely unsuccessful. We will discuss a methodical approach for AI USE CASE IDENTIFICATION.

Those systems cost a fraction compared to conventional software. Mainly because they were built by AI as well, and the same advantage you will see in your business, we already realized in ours.

11:30 Enterprise AI Platform Technology

1. Clearly, you will not want to replace your entire IT, and you don’t need to. We show you what such a platform looks like, who you and your team will manage, and how you will use it. We share real plans, real data, real numbers.
   

   An Enterprise AI Platform is far more complex than today’s ERP system. Yet far easier to use and manage.

2. How can productivity gain, usage, and user acceptance be measured and managed?
   We show you how it’s done, where the data came from, and real reports.
3. What does it take to implement, manage, and scale your Enterprise AI engagement?
   We share prerequisites, planning, and realization.
4. Why are conventional software provider locked down with their 50 million lines of code?
   We share the struggle of an existing company that only adds Agents to their massive solution.

12:15 Lunch Break

13:30 Enterprise AI Managed Service Providers (EAI MSP)

1. What Enterprise AI specialized MSPs provide, how they are helpful, and what you would still do yourself?
2. Enterprise AI spans a new “Agentic IT Layer” on top of your conventional IT.
   We share how it’s done, what it really means.
   This is how you are even better protected, and EAI MSP partners can manage it for you.
3. From CAPEX to OPEX, from fixed cost to variable cost.

14:00 AI Implementation Strategy

This is not your AI Business Strategy – but how you get it done.

1. Enterprise AI will become more important than IT or Manufacturing, because it will amplify and accelerate both, as well as operational excellence across all silos.
   

   Whether you have an AI strategy or not, you will want to have a strategic path to implement and scale it.

2. Using an AI Implementation Framework to create an EAI strategy as a competitive advantage.
3. Understand what resources, skills, budgets, timelines, and execution support you can expect for your business and how you move from piloting to production and scaling.
4. Some important business model considerations for a pay-per-use model with no user subscription and no application licensing.
5. Don’t start – set it in motion. No big bang – rolling thunder.

14:40 Upcoming BlueCallom AI Academy

Programs, audiences, formats

14:45  Q+A

15:00 Finish

We will be available for extended Q+A