This week marked a turning point for AI agents working together in real business situations around the world. Instead of just talking about how great agents could be, major technology companies are now building the actual systems that let agents collaborate and work together. Two of the biggest announcements came from some of the world's largest tech companies, showing that agent collaboration is no longer just an idea for the future—it is happening right now.

IBM and Amazon Web Services Team Up

IBM and AWS announced they are joining forces to make it much easier for companies to build and manage agents that work together. The companies explained that many businesses have been testing AI agents but struggled to actually use them in their real operations. By combining IBM's AI knowledge with AWS's cloud services, they created new tools called watsonx Orchestrate and Amazon Bedrock AgentCore that work together. These tools let companies build agents that remember conversations and can work with other agents smoothly. IBM also introduced a new tool called Bob, which helps software developers write and test code using agents. There is even a special tool called ContextForge that helps companies discover, connect, and manage many different agents across their entire business.

Amazon Shows Off Super-Powered Agents

At a big technology conference called AWS re:Invent 2025, Amazon showed the world something impressive: frontier agents. These are the strongest agents ever made. Unlike regular agents that do one simple task, frontier agents can work for hours or even days without anyone telling them what to do next. Amazon introduced three frontier agents: Kiro (which can write computer code by itself), the AWS Security Agent (which finds problems in computer systems), and the AWS DevOps Agent (which manages computer systems). These agents can figure out complex problems and break them down into smaller steps.

Amazon also made important updates to Amazon Bedrock AgentCore, which is the main tool companies use to build agents. The new version lets companies set rules for what agents can and cannot do using simple sentences, not complicated computer instructions. It also has built-in tools to check if agents are working correctly by testing them against thirteen different things like accuracy and safety. Another feature called episodic memory helps agents learn from their past experiences.

Companies Everywhere Are Using Agents

Something big happened this week: companies in many different businesses announced they are using agent collaboration. IQVIA, a company in the United States that helps test new medicines, chose AWS as their main cloud provider for building systems with multiple agents working together. The FDA, the government agency in the United States that checks medicine safety, announced that workers can now use AI agents to help with work like checking medicine safety, managing meetings, and checking medicines in hospitals. This shows that even government agencies believe agents working together are important and safe enough to use.

Multi-Agent Working Systems Are Becoming Normal

One of the most important changes this week is that multi-agent orchestration (which means managing lots of agents working as a team) is becoming table stakes—meaning companies that do not do it will fall behind. Different companies like Salesforce (with Agentforce 360), Microsoft (with Agent 365), SAP (with Joule), ServiceNow (with AI Agents), and Adobe (with AI Foundry) are all building systems where multiple agents can be organized and controlled by one main system. When companies use five or more agents working together smoothly, amazing things happen. One company in the money business used five agents together to check if people could borrow money, and they got the job done 67 percent faster and made 41 percent fewer mistakes.

What Comes Next

Experts say that in 2026, AI agents will move from being special business tools to being used by regular people. Right now, 48 percent of companies around the world are using agents in real situations, but this number is expected to jump quickly. Companies are spending lots of money on agents, with about 43 percent of their AI money going to agent systems. However, there is still a gap between making agents that work in tests and making agents that work in real business situations. Experts predict that companies that figure out how to use agents safely and successfully will see huge improvements, like cutting costs in half and helping workers do their jobs much faster.