How Agentic AI is enriching the future of Systems Engineering

When implementing AI in Systems Engineering, we look beyond standard chat assistants like ChatGPT or Copilot. At Basewise.ai, we have a strong belief in the power of Agentic AI, where various AI agents, each with their own defined role and expertise, collaborate to conduct in-depth and precise analyses.

Collaborate seamlessly with AI agents in Systems Engineering

By utilizing multiple specialized agents, a layered analytical capability is developed. This offers significant advantages, especially in complex processes such as verification and requirements management:

Verification Process: Specific agents can autonomously determine which verification methods are suitable for each requirement and then propose detailed verification plans. This significantly enhances the quality and efficiency of the verification process.

Requirements Management: Agents can automatically analyze documents, extract requirements, identify inconsistencies, and make suggestions for optimization. This results in consistent, clear, and effective requirements management.

By combining multiple specialized agents, we can distribute complex tasks, execute them in parallel, and monitor their interconnections. This not only leads to better analyses but also to deeper insights and a more reliable process. With this agent-based approach, Basewise.ai is taking concrete steps towards an innovative and powerful future for systems engineering.

Agents

Autogen Agents are advanced AI assistants that collaborate to perform complex tasks. They combine various AI models and specializations to achieve optimal results. Each agent has its own expertise and can work independently or in collaboration with other agents. They can communicate, divide tasks, and solve problems together—similar to a team of human experts.

The agents continuously learn from new interactions and adjust their approach based on feedback. This ensures they become increasingly effective in supporting your work.