Resolve AI Strengthens Platform with Always-on Agents

Resolve AI is making a major expansion to its AI for prod platform, introducing always-on background agents that continuously perform operational work in production, a new investigation architecture that improves incident investigation quality, and collaborative spaces where engineers and AI agents work from the same evidence in real-time.

According to the company, Resolve AI's new always-on background agent layer is designed to handle ongoing operational demands. Instead of starting investigations from scratch, teams begin with verified findings and recommended next steps. Agents can run continuously on schedules or wake automatically in response to events such as deploys and alerts, while accumulating knowledge from every investigation and interaction over time.

"Engineers are not limited just by skill; they are limited by time and context," said Mayank Agarwal, founder and CTO of Resolve AI. "Running production well requires understanding your systems more deeply than any on-call rotation allows, and that is what we built Resolve AI to change. With always-on agents handling daily production work, and improved investigation quality, engineers can finally focus on the problems that actually move the product forward."

Alongside the continuous operational work, incident investigation is materially stronger. Resolve AI agents now act as first responders for every on-call alert, typically triaging within five minutes before an engineer is involved, the company said.

For more complex issues, the company introduced a new investigative architecture developed by its AI Lab that delivers more improvements in root cause accuracy on internal evaluation sets compared to earlier versions of the platform. The architecture uses a coordinated team of specialized agents to investigate multiple hypotheses and evidence sources in parallel, independently verifying conclusions along the way.

When engineers engage in an active incident, they work alongside agents and peers within a shared investigation surface built around the same live evidence and context.

Reports update dynamically as investigations evolve, every finding is inspectable, and engineers can explore side investigations without interrupting the primary workflow. Evidence is embedded directly into the workspace, source queries are pullable and modifiable in place, and remediation can be triggered from the same interface without context switching.

Resolve AI is now also accessible as a REST API and an MCP server, allowing engineering teams to integrate the platform into broader agentic workflows and infrastructure.

For more information about this news, visit https://resolve.ai.