Until now, we have been accustomed to interacting with AI in a "query-response" format. You write a prompt, and the model generates text or code for you. However, this is just the tip of the iceberg. The real transformation, currently led by giants like Microsoft, AWS, and Salesforce, lies in the transition from passive models to active agents. These agents are not just "smarter chatbots"; they are systems that have the ability to act.

What exactly is Agentic AI and what's the difference?

To understand the significance of this shift, we must distinguish between large language models (LLMs) and agentic platforms. While a model (e.g., GPT-4o or Claude 3.5 Sonnet) is the "brain" that processes information, an agentic platform is the "body" that has the ability to utilize external tools – email, calendar, CRM systems, or banking interfaces.

Agentic AI operates in a cycle: perception → reasoning → action. For example, if you ask an agent to organize a business meeting, it won't just suggest invitation text. It will look into your calendar, find an available slot, send an email to the client, book a meeting room upon confirmation, and add a reminder to your system. This process occurs with minimal human intervention.

In terms of performance, these systems are directly dependent on the reasoning capabilities of the underlying model. For example, Anthropic's Claude 3.5 Sonnet model often shows better results than standard GPT-4 versions in benchmarks focused on coding and logical reasoning, which are crucial for agents, making it a preferred "brain" for developers of agentic workflows.

Three Pillars of Future Automation: Microsoft, AWS, and Salesforce

The market is now facing not random growth, but the systematic building of infrastructure by the three largest players in the cloud world. Each offers a different approach to how companies will operate their agents.

1. Microsoft and Copilot Studio

Microsoft leverages its dominance in office applications. Through the Copilot Studio platform, it enables companies to create their own agents that are deeply integrated into the Microsoft 365 ecosystem. For a Czech company working in Excel, Teams, and Outlook, this is the simplest path to implementation. Price: Microsoft Copilot for Microsoft 365 costs approximately 22 USD (approx. 510 CZK) per user per month, with advanced agent features in Copilot Studio potentially requiring higher licensing tiers.

2. AWS and Amazon Bedrock Agents

Amazon focuses on developers and large corporations that want to build their own unique applications. Their service Amazon Bedrock allows easy connection of various models (including those from Anthropic or Meta) with corporate data. AWS is ideal for companies that want full control over how their agent "thinks." Price: A pay-as-you-go model (payment for utilized performance/tokens), which is very efficient for scalable projects.

3. Salesforce and Agentforce

Salesforce focuses on the "Agentic Commerce" segment – i.e., automation of sales and customer processes. Their new platform Agentforce allows the creation of agents that can autonomously resolve customer queries in CRM, perform sales trend analyses, and even propose business strategies themselves.

Price: Salesforce typically works with enterprise pricing (custom pricing), which is designed for medium and large businesses.

Security, Trust, and Regulation in the EU

However, once we delegate decision-making to machines, the question arises: What if the agent makes a mistake? As agentic AI moves from 5% to 40% of the market, Risk Governance will become a key topic. If an agent, as part of automation, orders 10,000 units of material instead of 100, who bears the responsibility?

For Czech and European companies, the EU AI Act is a crucial factor. This regulation requires systems with a high degree of autonomy to be transparent, secure, and under constant human oversight. Companies in the Czech Republic must now consider not only GDPR but also specific requirements for the explainability of AI decisions when implementing agentic platforms. Trust becomes the new currency – the winners will not be those with the fastest agents, but those who have the safest and most controllable agents.

Practical Impact: What does this mean for you?

For small and medium-sized enterprises in the Czech Republic: Don't wait for AI to replace your employees. Expect AI to take over routine administration. An agent can monitor email inboxes, sort invoices, check their compliance with orders, and alert the accountant in case of discrepancies. This frees up human capacity for more complex work.

Availability and Language: Most of these platforms (especially Microsoft and AWS) already support Czech within their basic models. However, for complex agentic workflows, it is still recommended to use English as the "operational language" for instructions (prompting) to minimize reasoning errors. For final customer interaction in the Czech Republic, however, agents can be easily configured to communicate in perfect Czech.