Launching an agentic SRE for root cause analysis

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Today, we’re excited to announce the launch of Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for root cause analysis (RCA)—a transformative leap forward for engineering and operations teams facing the relentless complexity of modern cloud-native systems.

Why an Agentic SRE for root cause analysis? Addressing the root of modern incidents

We're entering an era where incidents resolve themselves before engineers even know they exist. The old playbook—engineers drowning in logs, jumping between tools, and manually piecing together what went wrong—is over. Modern engineering teams don't have time for that. They're shipping faster, running more complex distributed systems, and dealing with telemetry volumes that double every quarter. The gap between how fast systems break and how fast teams can respond is widening. Instead of engineers hunting through noise, intelligent systems should surface root causes instantly, correlate across your entire stack automatically, and turn resolution from hours into seconds. The future isn't about better dashboards—it's about making the entire incident response workflow feel like magic.

Mezmo’s AI SRE for RCA is engineered to break this cycle. By leveraging agentic AI workflows, our solution rapidly analyzes telemetry data to pinpoint root causes, eliminate noise, and recommend actionable remediation steps. This happens within your existing developer ecosystem (your tools, IDEs, and environments), meaning there’s zero context switching. Whether you’re a platform engineer, SRE, or developer, Mezmo delivers the clarity and confidence you need to move from incident to insight in record time.

What makes Mezmo’s approach different?

Active Telemetry, Not Passive Storage: Mezmo enables teams to filter out and refine telemetry data, delivering only the highest-value signals to both humans and AI agents. This proactive approach reduces costs and accelerates insight.

Context Engineering: Our platform ensures AI agents are fed with clean, trusted, and context-rich data—solving the core problem of “hallucinated” or flaky RCA results that plague generic LLM-based solutions.

Agentic Enablement:  Mezmo is built for the new wave of AI SRE agents, providing real-time, stateful context so automations act fast, smart, and reliably.

How it works: intelligent, context-driven root cause analysis

At the heart of Mezmo’s AI SRE is our MCP (Model Context Protocol) Server—a purpose-built, intelligent interface between your observability data and modern AI models. Unlike competitors who flood LLMs with raw data (driving up costs and confusion), Mezmo’s MCP Server deduplicates, clusters, and enriches telemetry before analysis. This means:

Prioritized context over prompts allows for accurate root cause analysis with a single, simple prompt: 

  • 90%+ cost reduction compared to prompt engineering. From $1-$6 per incident down to $0.06 
  • 95% improvement in Token efficiency (27K tokens instead of 500K+)
  • 90% time reduction via agentic diagnosis  (50 min to 5 min)

See our recent benchmarking data here.

Key features and capabilities

  • Agentic RCA Workflows: Automated, multi-step analysis plans that traverse your infrastructure, validate findings, and converge on a defensible root cause.
  • Noise-free, high-fidelity signals: Only the most relevant data is analyzed, reducing token usage and improving MTTR by up to 80%.
  • Smart Data Processing: Deduplication and clustering of log data before AI analysis, cutting costs and improving speed.
  • Structured Recommendations: Receive clear RCA summaries with technical details and step-by-step remediation guidance.
  • IDE MCP Integration: Access root cause insights directly from your development environment, eliminating context switching and accelerating incident response.
  • Third-party Integrations: Out-of-the-box support for PagerDuty, Slack, and more, with expanded ecosystem integrations coming soon.
  • Scalability and Security: Designed to handle petabytes of data, with enterprise-grade security, multi-region deployment, and robust failover mechanisms

Launch timeline and availability

Mezmo’s AI SRE for root cause analysis is now available.  Schedule a demo to learn more.

Ready to accelerate root cause analysis? 

If you’re ready to experience faster, smarter, and more cost-effective root cause analysis, book a demo with us to learn more. Join the teams already transforming their incident response, reducing costs, and empowering both humans and AI agents to deliver reliability at scale.

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    Mezmo + Catchpoint deliver observability SREs can rely on
    Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)
    What is Active Telemetry
    Launching an agentic SRE for root cause analysis
    Paving the way for a new era: Mezmo's Active Telemetry
    The Answer to SRE Agent Failures: Context Engineering
    Empowering an MCP server with a telemetry pipeline
    The Debugging Bottleneck: A Manual Log-Sifting Expedition
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