Everyone is talking about AI agents, but few people truly understand them. Businesses are in a race to use agents for a competitive edge, but the real question is: How do you separate the hype from reality?
This serious blog post cuts through the noise. It answers basic questions about what agents are, what they can realistically do, and how they might fit into your business by deploying them responsibly and securely to achieve a tangible return on AI investments.
- What Are AI Agents?
- How Do Agents Work?
- What Makes Agents Different From Traditional Automation?
- What Does Agent Autonomy Mean?
- What Is Agentic Transformation?
- What’s the Difference Between Generative AI and Agentic AI
- How Did AI Agents Come About?
- What Do I Need to Get Started With Agents
- Why Is Trustworthy Data Essential for Agents?
- Why Is Integration Important for Agents?
- Why Are APIs Important for Agents?
- How Are Agents Built?
- What Are the Risks and Limitations of Agents?
- What Are Agent Guardrails?
- How Are Agents Governed and Secured?
- What Is An Agentic Workflow?
- What Is Agentic Orchestration?
- What Are Agent Tools?
- What Is MCP?
- What Are Tokens and Context Windows?
- What Are Prompts?
- What Processes Are Right for Agents?
- How Can Agents Drive Business Value?
- What are AI Agent platforms?
Learn more in the English version of this post here, or contact us here.
See our Whitepaper „Agentic AI: The Next Level of Automation“ here for free download.
The “Agentic AI” white paper is available via wp@bimpress.de in German and English.
The management summary is available here free of charge. For a limited time only.
See also our blog post „How Automative SW Testing and Agentic AI Testing Differentiate„.
Source: (c) boomi.com