This week brought big news about multi-agent AI systems that work together like teams. The Digital Twin Consortium released a new periodic table framework to help people understand different types of AI agents, grouping them into five levels from simple helpers to advanced systems that make their own decisions.

Companies like Microsoft and IBM showed how these systems are being used in real businesses. Microsoft launched 11 security agents to protect companies from online threats, while IBM created tools to manage teams of AI agents safely. Google and Zapier introduced new tools that let people build custom AI agents without coding skills.

In customer service, Agentic AI is changing how companies help people. These systems can now solve problems before customers complain and give personalized help. Research predicts that by 2028, most customer service will use this technology.

For business planning, new multi-agent platforms help leaders test ideas by simulating customers, competitors, and markets. This approach makes predictions 75% more accurate than single-AI methods. Startups like Harvey (for legal work) and Shield AI (for defense) are creating specialized agents for different jobs.

Experts say managing these AI teams will require new skills. Leaders must learn to prompt agents effectively and build trust with their digital coworkers. Nvidia's CEO predicts companies will soon have millions of AI agents working alongside humans.