Cloud and application observability company New Relic Inc. today announced a new integration between its artificial intelligence capabilities and Amazon Web Service Inc.’s enterprise AI assistant Amazon Q Business.

The company said the new collaboration will provide business and information technology workers a new way to quickly deal with operational issues in a way they never could before. By helping them understand the underlying problem by presenting it in a conversational language interface where they work instead of just viewing data on a dashboard.

New Relic provides a real-time monitoring system that helps enterprises detect and resolve problems such as application performance slowdowns, server malfunctions and network bottlenecks. This data can be scattered across numerous different systems and difficult to gather, which is what New Relic’s AI agents excel at combining.

“The next level for our industry is to move past showing people things that they know they’ve asked for and into a system of intelligence that can dig into that information and actually help them understand,” Nic Benders, chief technical strategist at New Relic, told SiliconANGLE in an interview. “The problem people are coming to us with is that people need to understand how their software works in reality.”

When a user encounters a problem in their business system, they might be looking at a dashboard because an alert brought them there, but that’s just data. It’s useful and important data but it might take time to digest and interpret. That’s where Amazon Q comes in to help contextualize it into natural language based on the goals of the person looking at it.

For example, if an issue has occurred after a recent update and the user is a developer. Behind the scenes, New Relic’s AI agents would provide Amazon Q with all the data and information needed to understand the previous code, the code changes, the previous performance and the current performance. Amazon Q would then summarize the nature of the issue and how the code update could have affected it.

That allows the user to ask for recommendations on how to fix the code or how to complete a rollback. Since Amazon Q now has access to the historical performance and the entire context of the company’s technical systems and documents, it can act like an adviser that can help guide the process.

“This is like having that experienced old timer sitting right next to you and having them say, ‘Oh yeah, let me show you how this works,’” said Benders. “You’re still going to it like you’re in charge, but you’ve got this voice of experience by distilling out what is in the Amazon Q for Business and New Relic intelligence agents’ expertise.”

New Relic’s AI agent and Amazon Q can now work together to help business users understand complex workflows and issues to maintain and improve digital services, explained Benders. The people who would benefit most from the integration are those who have some technical expertise but don’t have a full grasp of the system because they spend most of their time doing other work. With Amazon Q’s conversational capabilities on their side answering questions, summarizing and filling in the gaps, they gain the benefit of that expert knowledge.

Importantly, all the information from New Relic can be viewed, summarized and queried from within Amazon Q, the company said. This eliminates the need to switch between applications when diagnosing or addressing a problem. All information and insights are presented within Amazon Q’s interface, which eliminates the need to switch tools. Providing a unified interface saves time and energy.

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