Key Takeaways
- AI Studio will be designed to bridge the gap between experimentation and scaled, production-grade AI automation.
- The Agent Library will offer enterprises visibility of every default and custom agent in one place, with clear descriptions, categories, and enabled status.
- The Agent Builder will make customization accessible. Natural-language inputs will be able to generate structured, reviewable workflows – no coding required, no black-box behavior.
- All agent logic will be visible and explicitly saved before deployment, helping meet enterprise requirements for transparency and explainability.
- AI Studio will be part of an end-to-end platform. Combined with Data Activate and AI Protect, it will be built to support the AI resilience lifecycle.
AI automation promises enormous operational value. But for most enterprises, moving from pilot to production can be harder than expected – especially when it comes to operational workflows like backup, recovery, and incident response. Governance concerns, lack of visibility, and the complexity of stitching together tools can often prevent AI from being used in real, day-to-day resilience operations.
What organizations need is a way to apply AI directly to these workflows – safely, with control, and in a way that fits how resilience teams actually operate. That’s what Commvault AI Studio will be designed for.
Why AI Automation Stalls at the Pilot Stage
McKinsey’s State of AI in 2025 report reveals that 88% of organizations use AI in at least one business function – yet only about one-third have reached scaled adoption beyond early pilots. The barriers are consistent across industries:
- Limited visibility and control over which agents exist, what they do, and where they’re active – making it difficult for IT and data security teams to oversee operational workflows.
- High friction to customize automation – teams can be forced to rely on manual scripting or external services to adapt built-in capabilities to real workflows, slowing adoption and limiting ROI.
- Concerns about trust and governance – without transparency, explainability, and auditability, enterprises can’t confidently move agents from experimentation into production.
As a result, organizations either underutilize AI capabilities or rely on manual processes for tasks that could be automated safely – leaving real efficiency and resilience gains on the table.
Introducing Commvault AI Studio
AI Studio is slated to be Commvault’s answer to the governance-adoption gap. It aims to provide a centralized interface where enterprises can view and manage all agents, deploy ready-made agents, and build custom agents using a workflow-based approach that helps keep behavior visible, auditable, and under control.
Agent Library: A Clear View of Every Agent in Your Environment
The Agent Library will be the entry point to AI Studio. It will present a structured inventory of every agent available in the environment – both default agents built by Commvault and custom agents created by the customer – grouped by type and showing each agent’s name, category, description, and enabled status at a glance.
Default agents include Commvault’s foundational cyber resilience agents, such as Arlie Advisor, Arlie Data Sense, Arlie Recover, among others. The Agent Library will offer teams a single, authoritative view of their resilience agent ecosystem before taking any action.
Agent Management: Operational Control for Every Agent
Selecting any agent from the library will open a dedicated detail view that can help provide transparency into how that agent operates – its purpose, how it’s triggered, what data it uses as inputs, execution limits, and basic usage telemetry.
This view will also include records of agent activity and events. Following this, administrators can enable or disable the agent with a single action. This will apply consistently to both default and custom agents, so every agent in the environment can be subject to the same governance standard.
Agent Builder: From Plain-Language Intent to Governed Workflow
AI Studio’s Agent Builder will enable administrators to create custom agents by leveraging Commvault’s workflows and MCP server – without writing code.
The experience will start with natural language. An administrator will be able to describe what they want to automate – for example: “I need an agent that detects when storage or infrastructure issues are starting to impact backups and helps resolve them before they affect SLAs.”
The system will be designed to translate that intent into a structured agent configuration, including triggers, conditions, and actions, with optional AI-enabled steps from Arlie – such as Summarize, Generate Recommendation, or Draft Notification – available as explicit workflow steps.
The administrator will be able to review the proposed workflow, adjust it as needed – changing trigger frequency, specifying a distribution list, or reordering steps – and save it. The result will be an auditable custom agent that appears in the Agent Library and can be managed through Agent Management like any other agent.
Part of a Larger AI Resilience Vision
AI Studio will be one of three capabilities Commvault announced as part of a broader AI resilience platform.
Data Activate enables organizations to classify and curate data from protected backup copies and prepare governed datasets for use with LLMs and AI pipelines – publishing updates on a recurring schedule aligned with backup policies, in formats like Apache Iceberg and Parquet, with sensitive data filtered out before activation.
AI Protect will offer centralized visibility, protection context, risk evaluation, and guided recovery for AI agents operating across enterprise, SaaS, and cloud environments – helping teams operate agents confidently and recover quickly when something goes wrong.
Together, the three capabilities will cover the arc of AI resilience: helping safely activate trusted data, govern and recover agents in production, and build the agentic workflows operations actually require.
FAQs
Q: What is Commvault AI Studio?
A: AI Studio will be Commvault’s centralized platform for deploying, building, and managing AI agents. It will include an Agent Library for viewing all agents in the environment, Agent Management for operational control, and an Agent Builder for creating custom agents using workflow-based automation – all without writing code.
Q: Who will AI Studio be designed for?
A: AI Studio will be built for Commvault administrators and IT operators who want to automate operational tasks – like monitoring backup job failures or notifying stakeholders – without relying on manual scripting or external development resources.
Q: How will the Agent Builder work?
A: Administrators will be able to describe their automation intent in plain language. AI Studio will then be able to propose a structured workflow with explicit triggers, conditions, and actions. The administrator can then review, edit if needed, and save the workflow as a custom agent. The resulting agent will be visible, auditable, and managed through the same interface as all other agents.
Q: Can AI be incorporated into custom agents?
A: Yes – but intentionally. AI will be invoked deliberately, not invisibly embedded in agent behavior.
Q: What default agents are available out of the box?
A: AI Studio will launch with a library of default agents across foundational AI and cyber resilience categories, including Arlie Data Sense, Arlie Advisor, and Arlie Recover.
Q: How will AI Studio relate to AI Protect and Data Activate?
A: All three will be part of Commvault’s next-generation AI capabilities. Data Activate helps govern how data is prepared and activated for AI use. AI Protect will help govern agents operating in production. AI Studio will help teams deploy and build custom agentic workflows. Together they will form an end-to-end AI resilience lifecycle.
Teja Medasani is Principal Product Manager at Commvault and Vir Choksi is Principal Product Marketing Manager at Commvault.
