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AI agents and a thinner application layer

By Erik David Johnson

March 17, 2025
2:21 pm

Read Erik David Johnson's blog post about AI agents and how they have a big impact on the size of the application layer.

2025 marks the beginning of an era in which AI agents become a natural part of daily business operations—and with it, the traditional application layer becomes progressively thinner.

Today, many business systems are divided into multiple applications, such as CRM, accounting, reporting, and data analysis. With AI agents, it becomes possible to combine these functions. Instead of switching between Dynamics 365, Power Platform, SAP and other systems, an AI agent can:

Collect and analyze data from multiple sources simultaneously
Generate reports and action plans based on the insights gathered
Answer complex questions such as “Which customers should we focus on this month?” based on up-to-date data

This means that the need to learn the separate interfaces of multiple systems is gradually diminishing and agents are taking up more and more space.

From specialized programs to total solutions

With AI agents, the shift is towards more natural communication, where instead of navigating complex programs, you simply explain your needs in everyday Danish. For example, you can ask:

“Make an overview of sales for the last three months,” and get a detailed answer without having to familiarize yourself with an advanced dashboard.
“What tasks should be prioritized next week?” - where the AI agent draws on data from multiple systems and presents an overall prioritized list.

The natural language interaction reduces complexity and makes it easier for employees to focus on core tasks instead of spending time navigating multiple applications.

This development has already been underway for some time, but is accelerated by advances in reasoning models such as o-models from OpenAI. By 2030, we will have a completely different IT usage where agents will fill a larger part of the application layer:

Natural language understanding and contextual interaction

The transition to a thinner application layer requires companies to ensure a solid data foundation and integrated infrastructure:

Structured data: Companies need to collect and organize their data so that the AI agent can effectively use it.
Processes in balance: Identify which tasks are critical and require a traditional system and which can be handled by an AI agent.
Training and customization: Employees need to be introduced to the new way of working where they communicate their needs directly to an intelligent solution.

This approach can already be seen today, with pilot projects and smaller implementations showing that many tasks - from reporting to customer analytics - can be solved faster and more intuitively with AI.

Copilot Agents are a good example of this, and several Danish companies have started using them.

What does this mean for Danish companies?

The shift to a more integrated and natural way of working is not only a technological development, but also a change in the way we work. With AI agents taking over a wide range of complex functions, the overall application layer becomes significantly thinner and businesses can achieve a more efficient workday.

The question is: Have you structured your data and processes to harness the potential of the new agent era? Is your organization ready to simplify, integrate and streamline the workday with AI agents as a natural part of everyday life?

Is your business ready?

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