Freshworks launches Freddy AI Agent Studio for service

Freshworks has launched Freddy AI Agent Studio within Freshservice, expanding its artificial intelligence tools for service management.

The studio lets organisations build custom AI agents through a no-code interface or use pre-built agents for specific service tasks. Those agents can operate in Microsoft Teams, Slack and employee portals, and connect with systems such as Workday and Rippling to carry out workflows including onboarding and payroll-related requests.

The launch is part of a broader push to bring IT service management, asset management, operations and enterprise service management onto one platform. The goal is to give IT and business teams a single service operations foundation with shared data across incidents, assets and internal knowledge.

New company telemetry points to a widening gap between when employees seek support and when service teams respond. An analysis of millions of service interactions found that 47% of IT tickets are now submitted outside standard business hours, while after-hours response times are at least an hour slower and service-level agreement rates can fall by as much as 5%.

That reflects the demands of a workforce increasingly spread across locations and schedules. Freshworks argued that businesses risk leaving overnight and out-of-hours employees waiting longer for help, even as broader use of AI tools raises expectations for faster service.

"The true measure of AI's value isn't what it can do, it's what it gives back: time, focus, and the freedom for teams to stop fixing yesterday's problems and start building what's next," said Srini Raghavan, Chief Product Officer at Freshworks. "Our unified ServiceOps foundation, activated with Freddy AI Agent Studio, is the antidote. It delivers immediate, controlled orchestration and the architectural agility to deploy AI in weeks, not quarters, allowing our customers to transform service at the speed their business demands."

External context

Alongside the studio, Freshworks introduced what it calls an MCP Gateway, based on the Model Context Protocol, to let its AI tools pull context from third-party applications without custom code. Integrations include Notion, ClickUp and Linear, allowing service teams to use information from external systems when handling cross-department requests.

This matters because many companies applying AI to internal operations still face fragmented software estates and disconnected data sources. By linking service workflows with HR, IT and collaboration tools, vendors are trying to move beyond simple chatbot functions towards systems that can carry out tasks and resolve issues with less manual intervention.

Freshworks also added AI Insights and so-called xLAs, or Experience Level Agreements, to help service leaders measure outcomes beyond traditional operational metrics. These features are intended to connect service performance with employee sentiment and provide a broader view of how internal support is perceived across the organisation.

Market shift

The market for IT and enterprise service management has been moving towards automation and AI-driven assistance for several years, but deployment has often been slowed by data preparation and integration work. Freshworks is trying to differentiate itself from larger, older rivals by arguing that a unified data layer can reduce the mapping and clean-up normally required before AI tools can act on enterprise information.

Freddy AI is built on a service operations foundation that includes Freshservice IT asset management tools and the FireHydrant incident management product. That combination is designed to give AI agents access to information about assets, incidents and service history within the same environment.

For customers, the practical appeal is likely to depend on whether the product can ease pressure on service desks while maintaining governance. Businesses have shown growing interest in AI systems that can be deployed quickly, but they also want tighter controls over what those systems can access and do, particularly when employee records, payroll processes and business-critical incidents are involved.

A customer reference included with the launch focused on the value of analytics rather than autonomous action. "We used to spend an hour every morning looking at ticket trends. Now we spend three minutes with Freddy Insights-and get better data," said Daniel McMaster, IT Service Management Analyst at Amerisure.

Industry analysts are also watching whether AI agents can move from pilot projects into routine use inside large organisations. Keith Kirkpatrick of The Futurum Group said the emphasis on flexibility, pre-built domain agents and governance reflects a wider market trend.

"Freshworks is positioning platform unification as a key enabler of autonomous service execution," said Keith Kirkpatrick, Vice President and Research Director, Enterprise Software & Digital Workflows at The Futurum Group. "Freddy AI Agent Studio's combination of deployment flexibility, pre-built domain agents, and embedded governance reflects a broader market focus on moving agentic AI initiatives from pilot projects into production environments. For organizations managing multiple AI tools and workflows, these types of approaches that emphasize integration, governance, and operational readiness are likely to resonate with enterprise buyers."