The future of enterprise IT operations with Agentic AI is autonomous, orchestrated, and human-led
In a world where technology operations are becoming increasingly complex and dynamic, enterprises need more than just visibility - they need intelligent, coordinated execution. Enter Cutover, a Collaborative Automation platform that bridges the gap between human decision makers, automated tasks, and autonomous AI agents.
As enterprises embrace Agentic AI architecture to shift toward autonomous operations, AI agents are becoming the “digital workforce” - executing decisions, automating workflows, and adapting to real-time input. But autonomy doesn’t mean isolation. Cutover provides the central orchestration layer that coordinates human expertise, automated tasks, and AI agent execution across platforms such as ServiceNow, Dynatrace, and beyond to handle complex operations.
In this article, we will examine the power of Agentic AI - intelligent agents from platforms like ServiceNow, Dynatrace, and other third-party systems - working in concert with Cutover to transform how technology operations work gets done.
The story: From AI silos to centralization and collaboration
Let’s consider a scenario where you are an IT Operations Director at a global financial institution. Your team juggles responding to complex incidents, system upgrades, application recovery events, and regulatory reporting. Every hour of downtime or miscommunication costs your firm millions. You are already using best-in-class tools, such as ServiceNow for ITSM, Dynatrace for incident alerting, and a host of others. But they all live in silos, creating operational friction and fragmented workflows.
This is where Cutover’s automated runbooks integrated with third-party AI agents change the game. By connecting these tools through Cutover integrations and embedding AI-powered runbooks into your technology operations, you eliminate silos and establish a unified system of action.
Cutover’s Agentic AI architecture in action
At the heart of the Cutover + Agentic AI integration lies a simple yet powerful three-step architecture flow:
- Cutover → AI Agent API: A task in a Cutover runbook triggers an agent.
- AI Agent → Logic execution: The AI agent processes the payload using contextual data to perform an action or generate a decision point.
- Agent callback → Cutover: The agent sends a structured response back to Cutover, mapping outputs to custom fields in the task that can be reviewed by a person before executing.
This three-step pattern enables synchronous, auditable interactions between human workflows and AI-powered automation.
Cutover + Agentic AI operational workflow example
Below, we dig into a real-world example of Cutover integrating with third-party AI agents, showcasing Agentic AI, automated runbooks, and intelligent operations.
- Triggering an event from Agentic AI: A critical application outage is detected by an AI agent in Dynatrace. As part of a predefined Agentic AI workflow, that AI agent triggers a templated Cutover runbook for recovering that application which is configured to automatically run when triggered.
- Intelligent task-led orchestration: Cutover seamlessly activates the runbook, assigning tasks to people, automations, and AI agents. In this case, Cutover sends context and parameters to a ServiceNow AI agent to auto-triage the incident. Because ServiceNow is integrated with Cutover, the ServiceNow AI agent suggests a series of automated health checks as recommended actions to Cutover. Cutover maps the response into a task’s comments and custom fields, then automatically executes an externally hosted function, such as AWS Lambda, to check the health of a downstream service or another availability zone before executing the failover. Cutover users are notified for oversight and escalation with full context to review and act - all within one unified timeline.
- Context-rich collaboration: Every action, task, and communication required to resolve the incident is logged in real time within Cutover. Decision makers have a place to observe progress, make manual interventions, or approve critical steps. Furthermore, Cutover's integration debugging panel allows people working the incident to inspect the results such as: request payloads, API responses, and execution status. This ensures transparency, accountability, and easy troubleshooting across Agentic AI integrations.
- Audit and learn: After the event, Cutover captures all logs and performance metrics. Feedback loops improve the logic of AI agents and refine runbooks over time, enabling continuous improvement.
Why should you and your Technology Operations Team care about Cutover AI?
With Cutover AI and Agentic AI, enterprises don’t just automate - they intelligently orchestrate. They enable people and machines to work together with clarity, speed, and control. It’s not just about doing more - it’s about doing it right, every time.
Key benefits of Cutover’s Agentic AI integration:
- Accuracy: Minimize human error by leveraging intelligent automation.
- Speed: Reduce response times from hours to minutes.
- Scalable orchestration: Coordinate thousands of tasks and decisions across AI and human actors.
- Accountability and transparency: Every interaction is logged, traceable, and replayable for full operation oversight.
- Flexible integration: Supports any REST-enabled AI service - whether stateful or stateless - for maximum adaptability.
Cutover's Advanced AI capabilities enhance IT operations by integrating intelligent automation with human oversight, focusing on transparency, explainability, and operational safety. Key benefits of Cutover AI include:
Transparent data visibility
Cutover provides real-time visualization of data flows to AI models, ensuring clear oversight. Audit logs detail every data point accessed and processed, with customizable visibility controls for different user roles and compliance needs.
Insightful AI comments
AI-generated explanations accompany suggested actions, offering context-aware annotations that highlight factors influencing recommendations. Natural language processing translates complex technical insights into accessible terms, fostering better collaboration and trust.
Next best actions
Leveraging historical performance data, Cutover AI can predict optimal steps to enhance operational efficiency. It adapts task prioritization based on changing conditions and identifies potential issues before they impact operations.
Human oversight
Users maintain control over critical operations through configurable approval workflows. Interactive interfaces allow for reviewing, editing, and approving AI-suggested actions, with comprehensive logs ensuring accountability and compliance.
Explainable outcomes
The platform offers detailed process tracing from input to output, with visual decision trees illustrating AI evaluations. Export-ready documentation supports regulatory compliance and auditing requirements.
Execution guardrails
Cutover enforces safe operations through configurable boundary conditions and real-time monitoring systems that detect anomalies. Automatic fallback mechanisms ensure continuity even in exceptional situations.
These capabilities are designed to enhance IT disaster recovery, cloud migrations, and incident response, enabling organizations to achieve greater efficiency, reliability, and innovation in their operations.
Intelligent orchestration with Agentic AI
With Cutover’s Agentic AI integrations, you’re not just automating, you’re intelligently orchestrating your operations. From real-time incident response to strategic change implementation, Cutover enables machine-speed execution with human oversight.
To learn more about how Cutover AI can help with your technology operations, book a demo or visit cutover.ai