Blog post: The Agentic AI way 

Even an AI journey always starts with a first step.

Agents are AI programs that can independently automate and execute tasks. Ranging from simple assistants to complex, self-organizing teams, they offer enormous potential to make workflows more efficient. The path to this future unfolds across several development stages, from simple chatbots (LLMs) and supportive copilots to fully autonomous agent teams.
Seize the opportunities offered by modern AI technologies and identify concrete use cases for your business. The right time to actively shape the future and sustainably optimize your processes is now!

What Are Agents?

Agents are software-based applications that use artificial intelligence to automate processes and execute tasks independently. Depending on the need, agents either work autonomously or in collaboration with humans. Their complexity ranges from basic text processing to the autonomous completion of more complex tasks — and eventually to highly developed agents that operate fully independently without human intervention.

TYPES OF AGENTS

The following illustration shows examples of agents across different levels of development:

EXAMPLES OF AGENTS

"All good in theory, but how do I get to the point where agents autonomously handle complex tasks for me — and where do I currently stand on the AI journey?"

Agent Maturity

The company Bessemer has developed an interesting scale for evaluating agent maturity:

LLM
Standard solutions like GPT answer user queries using AI-based language models.

LLM+

Through "reasoning," advanced LLMs such as GPT-01 logically connect knowledge and deliver context-relevant responses.

Copilot

Copilots assist users with simple, context-based tasks and increasingly take over independent activities.

Tasks

Simple agents automate basic tasks such as sending emails or querying data.

Perform Jobs

LLM agents manage dynamic workflows, triggering orders and responding automatically to changing conditions.

Team of Agents

Autonomous agents collaborate and coordinate follow-up processes like ordering and invoicing independently.

Manage Teams of Agents

At the highest level, agents manage themselves, integrating new agents or optimizing existing ones — a capability that will soon be supported by dedicated platforms.

Your Path Forward

Even for experienced specialists, keeping pace with the rapid developments in artificial intelligence is a challenge. For companies whose core business is not AI, navigating this dynamic environment and making the right strategic decisions can be even more demanding.

That’s why we have developed the AI Kickstart Workshop.
Informed decisions require a solid understanding of the possibilities and limitations of current AI technologies. In our workshop, we provide you with essential knowledge, an overview of current trends, and insights into the opportunities AI offers your business. Together, we identify relevant and realistic use cases, prioritized by expected value.Im zweiten Schritt setzen wir den höchstpriorisierten Anwendungsfall gemeinsam mit Ihnen praktisch um und validieren dabei die Ergebnisse in der Realität.

In the second phase, we practically implement the highest-priority use case with you and validate the results in real-world conditions.

Based on the insights gained, we then support you step-by-step on your path to successfully leveraging AI agents that automate processes and handle tasks independently.

 

We are ready — are you?

*The Articel is based on the following Post: https://www.bvp.com/atlas/bessemers-ai-agent-autonomy-scale