Cutover
Cutover provides an orchestration and automation platform that helps enterprise IT teams coordinate complex incident response, disaster recovery, and migrations through intelligent, executable runbooks. The platform leverages AI agents to generate runbooks from static sources, suggest improvements from execution data, and enable natural-language interaction via an MCP Server. Cutover reports a 313% ROI and sub-six-month payback for customers according to a Forrester TEI study.
- Enterprise Software
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Enterprises coordinating large-scale IT incident response and disaster recovery often rely on manual runbooks, fragmented communication tools, and ad-hoc coordination across hundreds or thousands of resolvers. This results in slower recovery times, increased human error, poor stakeholder visibility, and significant operational and financial costs during outages or planned migrations.
Solution
Cutover provides an orchestration and automation platform that centralizes complex IT operations into intelligent, executable runbooks. The platform uses AI agents and automation to guide teams through incidents, migrate workloads, and execute releases with clear task ownership and dependencies. Cutover AI enables natural-language interaction for runbook creation, refinement, and summary, while execution data feeds continuous improvement suggestions. The platform provides real-time command and control visibility, automated stakeholder communications, and audit-ready reporting, reducing manual toil and accelerating resolution.
Target Audience
Primary customers are enterprise IT operations, resilience, and disaster recovery teams, as well as IT leaders managing complex migrations, incidents, and multi-team operational workflows.
Features
- AI-powered runbook creation using retrieval augmented generation (RAG) to convert static sources like flowcharts, spreadsheets, and Confluence pages into complete runbooks with tasks and dependencies
- AI Agent access via Model Context Protocol (MCP) Server, allowing LLMs and agents to query operational and resilience data and take direct action on runbooks using natural language
- AI-powered runbook improvements that analyze execution data to suggest structural optimizations, dependency fixes, and bottleneck removals as part of a continuous improvement cycle
- AI-generated runbook summaries built on Claude 3 Sonnet via AWS Bedrock, enabling users to quickly understand runbook purpose and contents
- Automated orchestration for incident response, disaster recovery, migrations, and releases with role-based task assignment and dependency tracking
- Automated stakeholder communications across one system to reduce customer impact and increase business confidence