AI Agents Finally Learn to Play Nice, But Still Can't Get Along Without Conductor-Like Solutions to Stop Them from Hallucinating

In a shocking turn of events, AI agents have finally learned to talk to each other, but it turns out they're just as dysfunctional as a startup's founding team. To prevent these agents from having a complete meltdown and hallucinating all over the place, companies are turning to conductor-like solutions that can orchestrate their actions and prevent misunderstandings. According to Tim Sanders, chief innovation officer at G2, agent-to-agent communications is becoming a major concern, and companies like Salesforce, UiPath, and IBM are already providing early solutions to help them play nice. These platforms are not just about data orchestration, but also about action, and they're being designed to increase the consistency of outcomes and provide greater quality control. As Sanders puts it, "You can't orchestrate what you can't see clearly," and these platforms are helping IT leaders get a better view of their automation stack, which is crucial for preventing "ticket exhaustion" and allowing organizations to experience "true velocity gains." With the rise of agent-first automation stacks, companies are expected to "dramatically outperform" hybrid automation stacks, and IT leaders should start taking inventory of their automation stack to optimize emerging orchestration platforms and prevent dis-synergies across organizations.