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AI-enabled automated runbooks for IT operations
Cutover’s automated runbooks help enterprises simplify, scale and accelerate IT disaster recoveries, cloud migrations, software release and patching and large-scale technology implementations. Our automated runbooks provide integration, orchestration, and visibility while keeping people in the process for decision making to increase efficiency and reduce risk and cost. Leveraging tools such as Amazon Bedrock and Claude from Anthropic, Cutover is applying AI models to advance automated runbooks for IT operations and enterprise processes.
Cutover AI enhances your runbooks in the following ways:
Summarize
Cutover AI takes structured runbook data and generates an editable summary of the runbook’s purpose and what it contains, enabling users to understand what the goal of a runbook is at a glance.
Improve
Cutover AI will evaluate your runbook effectiveness and suggest intelligent improvements to help you uncover potential bottlenecks or inefficiencies during migrations, recoveries or releases. Cutover AI uses execution data to suggest improvements to runbooks as part of a continuous improvement cycle.
Create
Build runbooks in minutes, not hours with Cutover AI. Generate new runbooks with tasks, dependencies, and descriptions from third-party and unstructured data sources and then customize the new runbook by refining it with specific tasks. Use text prompts and source content from Cutover, Confluence and other data sources to auto-generate runbooks.
What are the benefits of using Cutover AI?
Cutover AI helps to simplify, scale and accelerate runbook creation and maintenance for IT disaster recoveries, cloud migrations, software release and patching and large-scale technology implementations. Use Cutover AI to:
- Enable teams to get up to speed and execute more quickly by being able to find runbooks and see their purpose at a glance
- Ensure lessons learned from previous runbook executions are actioned and incorporated into new runbooks going forward
- Save time creating, improving and summarizing runbooks - reducing runbook creation time to minutes
- Know you’re using the best data available to build your runbooks
- Ensure consistency across your runbooks and their metadata
