Monte Carlo Launches Bayes to Detect, Troubleshoot, and Fix AI Agent Issues

Monte Carlo, the leader in agent trust, launched Bayes, an AI teammate that brings its platform capabilities into a single system to autonomously detect, troubleshoot, and fix issues across agents and the data they run on. Customers decide how much Bayes handles on its own, and agents improve with every fix.

Enterprises are deploying agents into production faster than they can keep them reliable. A typical AI engineer can keep only one to three agents and a handful of critical pipelines under real watch, as Monte Carlo has observed across its customer base. Every new deployment adds evaluation and debugging work existing teams can't absorb. Trust erodes, scaling stalls, and AI ambitions go unrealized.

Acting as the central platform brain, Bayes rapidly learns the unique landscape of a customer's data and AI environment and deploys appropriate monitoring strategies. Like any new teammate, it takes on as much as the customer is ready to hand over — from a single task, like troubleshooting an alert, to a standing mandate to set up monitoring and triage, to executing fixes in the background.

Capabilities include:

• Catching the agent failures real users hit in production, across traces and evals, without relying on golden datasets.
• Taking action and resolving issues as they emerge. Bayes triages alerts directly and delivers agent fixes as draft pull requests or tickets for engineers to merge, then confirms the fix worked – so agents improve with every cycle.
• Ensuring the data pipelines, tables, and products that agents depend on are reliable by autonomously configuring and tuning monitoring coverage based on what matters in each environment.
• Working inside the tools engineers already use. Through MCP, the AI teammate connects to AI coding assistants and agent-first tools across the CI/CD pipeline, so resolutions execute directly within existing development workflows.

Bayes also extends Monte Carlo's partnership with Snowflake, which named Monte Carlo its 2026 Data & AI Governance Partner of the Year. Together, the two companies help joint customers build and run reliable agents on Snowflake.

Bayes is available today to Monte Carlo customers directly in the platform, in Slack, Microsoft Teams, and through MCP, so teams can work with it in the tools they already use. To learn more, visit montecarlo.ai. Read the full press release here