New Switch capabilities build on its data sovereignty foundation and give companies a vendor-neutral way to measure and improve AI agents’ cost and ROI, while managing risk

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Enterprise AI has moved into a challenging phase. The issue is not just how many agents a company can deploy but whether those agents are secure, uselful and economically justified. As organizations begin to build larger agentic workforces, oversight is a big problem, particularly when agents are operating across different models, tools, and providers.

SandboxAQ’s latest expansion of its Switch AI aims to close that gap. The expansion gives companies choice and control as they adopt and scale AI agents. Built on an open-source Switch Rooms offering, it brings people and AI agents together with shared, company-controlled context. SandboxAQ is introducing Switch Trust and Switch ROI to help organizations evaluate agent risk, measure business value, and optimize performance across the agents, models, and providers they choose.

SandboxAQ launched Switch in August 2026 as a Commons Clause Apache 2.0 open-source offering built around the premise that companies should have the freedom to choose and change their AI agents, models, and providers without losing control of their context. Switch Rooms brings people and agents together across Slack, Microsoft Teams, Discord and other workplace tools, enabling teams to work with the agents they choose while retaining ownership of their shared context, history, and knowledge. As AI technology evolves, organizations can adopt new agents and models without starting over or becoming dependent on a single provider. Gartner predicts that more than 40 percent of agentic AI projects will be canceled by the end of 2027, while only 7 percent of leaders say they have established a return on their AI investments.

“More agents doesn’t automatically mean more value. We’ve seen this across many users: in cases where we thought agents could help avoid a net-new hire, the AI spend quickly became more expensive than hiring a full-time person,” said Mohammed Aboul-Magd, GM of Switch AI at SandboxAQ. “That’s why ROI can’t just mean ‘we adopted AI.’ You need to know what every agent costs, what it delivers and how to make it better over time. That’s the problem Switch ROI is built to solve.”

Managing AI agents has become the main focus for organizations. It doesn’t matter how quickly deployment happens. As agentic systems begin to make decisions, execute tasks, and consume real budgets, the same discipline must apply to AI as to the people employing it. The companies that will succeed are the ones that can understand which agents are safe, which are delivering value, and which should be replaced

“We're entering a world where companies will have hundreds, potentially thousands, of AI agents working alongside their employees. But you wouldn't hire a thousand people without knowing their qualifications, what they'll cost or whether they're delivering results,” said Jack Hidary, CEO of SandboxAQ. “The same discipline needs to apply to AI agents. And as the technology advances, companies must be able to switch to better agents and models without losing the knowledge they've built. The intelligence belongs inside the company, not the AI provider.”

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