Resolve AI
Agentic AI platform automating incident detection, root cause analysis, and resolution in production environments to reduce downtime and on-call stress.
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Product Overview
What is Resolve AI?
Resolve AI is a cutting-edge AI production engineer designed to autonomously handle alerts, perform root cause analysis, and resolve incidents across complex cloud and software infrastructures. It builds and continuously updates a comprehensive knowledge graph of the production environment, integrating seamlessly with tools like AWS, Kubernetes, GitHub, and Slack. By mimicking human engineers’ reasoning and operational workflows, Resolve AI drastically reduces Mean Time to Resolution (MTTR) and prevents outages, enabling engineering teams to focus on innovation instead of firefighting.
Key Features
Autonomous Incident Management
Automatically detects, investigates, and resolves alerts and incidents without human intervention, cutting MTTR by up to 80%.
Dynamic Knowledge Graph
Continuously maps and updates a detailed model of infrastructure, code, deployments, and dependencies to maintain real-time situational awareness.
Deep Integration with DevOps Tools
Operates directly with cloud platforms, observability tools, source code repositories, and communication channels to perform complex operational tasks.
Agentic AI with Multi-Step Reasoning
Employs multiple specialized AI agents that collaborate to triage issues, hypothesize root causes, and execute remediation steps using human-like logic.
Proactive Incident Prevention
Adjusts monitoring thresholds and runbooks dynamically based on incident learnings to reduce alert noise and prevent future issues.
Enterprise-Grade Security and Compliance
Built to meet high security standards such as SOC2 Type 2, ensuring customer data privacy and integrity.
Use Cases
- On-Call Incident Response : Reduces on-call engineer workload by autonomously managing alerts and incident remediation, preventing burnout.
- Production System Reliability : Improves uptime by rapidly diagnosing and resolving production issues across cloud infrastructure and applications.
- Root Cause Analysis : Delivers fast, evidence-based identification of incident causes with actionable remediation plans.
- Operational Efficiency : Standardizes and automates complex operational workflows, enabling teams to ship features faster with confidence.
- Collaboration and Knowledge Sharing : Acts as a collaborative AI teammate, integrating with Slack and other tools to assist engineers and document incident reviews.
FAQs
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