Moveworks’ global event in San Jose marked a major inflection point in enterprise AI with the announcement of Agent Studio, Plugin Workspace, and an AI Agent Marketplace — all part of its strategy to become the go-to platform for building business-ready AI agents.

Analysts Julie Mohr and Rowan Curran provide their insights on the announcements.

The Headline Updates

  • Agent Studio. Moveworks’ Agent Studio joins a dizzying number of vendors that are offering low- and no-code development environments to build agents. Moveworks claims a 95% success rate in getting these agents to production, which could drive significantly more agentic deployments in the next year if those numbers continue to play out.
  • Plugin Workspace. This is a unifying developer environment designed to fix the fragmentation and inefficiency of existing toolchains. It solves challenges such as broken integrations, disjointed authentication, and outdated system flows.
  • AI Agent Marketplace. Moveworks launched over 100 prebuilt AI agents across more than 20 business systems such as Salesforce, SAP, and Workday. These agents are positioned as being “production-ready,” and the marketplace includes features like tutorials and sandbox installations for instant deployment.

Beyond products, the event revealed critical partnerships:

  • Stack Overflow partnership. This enables developers and tech support teams to tap into verified knowledge via chat or enterprise search through Moveworks.
  • Palo Alto Networks integration. This integration tackles 99% of cyber incidents stemming from misconfiguration by delivering timely, actionable security alerts via AI assistants.
  • ServiceNow collaboration. With the announcement earlier this year of ServiceNow’s acquisition of Moveworks and the finalization of that deal still pending, it was surprising to see ServiceNow speaking at the event about what the merger will provide in the future. Basically, ServiceNow wants to continue to fuel the innovation of Moveworks and get out of its way.

From Systems Of Record To Systems Of Action: Moveworks As The New Front Door

Moveworks isn’t just rolling out another AI suite. It’s redefining the future of enterprise automation by operationalizing AI agents — not just chatbots but full-fledged, task-completing digital employees. With AI now able to book travel, resolve IT tickets, help HR teams with onboarding, or prep a sales pitch with data from Salesforce and Bing, businesses are poised to shift from people-driven to agent-driven workflows. AI agents are no longer reactive helpers; they are proactive workers integrated into daily operations.

In the words of Bill McDermont: “Moveworks owns the employee experience. Who wants to deal with a system of record when you can deal with Moveworks and get all the information, all the content that you can possibly need as an employee to do your job better and have a great experience? And if you think about it, Moveworks can do that for the employee experience and ServiceNow can help with the next best action along the lines of that business process.”

This encapsulates the essence of Moveworks’ positioning: an AI front end redefining how employees interact with business systems while platforms like ServiceNow remain as the orchestration layer.

Taking The Next Step: Can Moveworks Work For You?

If you’re a CTO, CIO, or enterprise leader:

  • Evaluate Moveworks if your organization is still reliant on outdated chatbot workflows or rule-based systems.
  • Start small with prebuilt agents in the AI Agent Marketplace for common use cases (e.g., task completion in Asana or approvals in Workday).
  • Train your dev team on Plugin Workspace to accelerate custom AI agent builds and integrations.
  • Pair with knowledge platforms to unlock internal expertise and reduce support tickets.

If you’re building AI-powered products:

  • Study how Plugin Workspace decouples AI agent building from prompt engineering and integrates securely with enterprise systems.
  • Monitor the emerging standards landscape. Moveworks and many others are supporting the Model Context Protocol (introduced by Anthropic), but there are others gaining steam, as well. Integrating with these emerging standards is essential.

Architecting Trust: The Governance And Integration Challenges Ahead

Despite the hype, there are potential cracks in the armor:

  • Complex setup for real-world environments. Moveworks makes the case for fast development, but real deployment still involves coordinating security, compliance, and existing workflows. This is especially tough for companies with legacy systems.
  • Reliance on ecosystem partners. The stack’s strength is also its risk. Heavy dependence on partner ecosystems such as Stack Overflow or ServiceNow could be limiting if priorities shift or partnerships dissolve.
  • Security and governance concerns. While the platform emphasizes security, any system that automates actions across critical systems (e.g., closing tickets, changing records) must address governance rigorously. A misconfigured AI agent could be more dangerous than a misconfigured human.
  • Evaluation challenges. As seen with Databricks’ experience highlighted at the conference, probabilistic models such as those powering Moveworks’ agents can lead to “hallucinated” workflows if not rigorously evaluated and tuned. Testing and evaluations for agentic AI flows are still largely human-driven and not automated.
  • Agent orchestration. With so many vendors making an agentic AI play, organizations need to be aware of building new levels of complexity into their current architecture. Careful planning is needed to understand the timing of AI agents while establishing trust between agents, platforms, and data.

Bottom Line

Moveworks is making a serious play to become the platform of AI agents. Its model marries agent intelligence with business process integration in a way that could genuinely transform how work gets done. With the backing of ServiceNow, this could be massively accelerated. But execution will require more than tech — it’ll demand deep cultural adoption and rock-solid trust in AI autonomy.

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