Freshworks launches AI Agent Studio in Freshservice with no-code deployment and MCP Gateway

Freshworks Expands Agentic Capabilities with Freddy AI Agent Studio

Freshworks announced a major expansion of its AI-powered capabilities at its annual Freshworks Refresh conference in New York, introducing Freddy AI Agent Studio in Freshservice 1

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. The no-code environment enables IT and business teams to build, customize or deploy domain-specific AI agents in weeks rather than quarters, marking a shift from AI strategy to practical deployment across service operations. Chief Product Officer Srini Raghavan emphasized that the unified ServiceOps foundation delivers immediate, controlled orchestration and architectural agility to deploy AI at business speed 3

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The announcement positions Freshworks to deliver service transformation through one agile platform connecting service, assets and incidents with trusted, domain-specific AI grounded in enterprise context . The AI Agent Studio allows teams to spin up custom agents or start from domain-specific templates, then deploy them into Microsoft Teams, Slack or employee portals, connecting to human resources information systems including Workday and Rippling to run workflows like onboarding and payroll requests 2

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Addressing the Ghost Shift Problem with Service Software

The urgency behind this release stems from compelling telemetry data that reveals a critical gap in modern workforce support. Analysis of millions of service interactions found that 47% of IT tickets are now submitted outside standard business hours, yet after-hours response times lag by an extra hour or more, with SLA rates falling as much as 5% 2

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. Freshworks frames this as a "ghost shift" problem for distributed workforces, where employees empowered with AI tools to work faster and from anywhere face an employee experience showdown when seeking support after hours .

This data gives Freshworks a clearer opening to position Freddy AI agents as a way to meet employees where they work, delivering always-on service that matches shifting work patterns 1

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. The company's IT service management platform is designed to be fast to deploy, intuitive to use and foster employee productivity for organizations such as Databricks, TaylorMade and Carrefour 1

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Model Context Protocol Gateway Eliminates Integration Friction

The MCP Gateway addresses a common enterprise frustration by enabling Freddy AI to instantly pull external context from third-party tools including Notion, ClickUp and Linear without custom code 2

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. This Model Context Protocol Gateway allows organizations to move beyond simple automation and solve complex, cross-departmental issues, bypassing the AI friction and implementation drag that can stall enterprise AI effectiveness .

The broader goal is to support more complex, cross-departmental service workflows while giving Freddy AI Agents the ability to leverage a company's entire tech stack in less time 1

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. This capability helps streamline IT and customer service operations without requiring bespoke integration work that has historically slowed enterprise agent rollouts 2

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AI Insights and Experience Level Agreements Drive Operational Efficiency

Freshworks introduced AI Insights with Experience Level Agreements to help service leaders move beyond legacy metrics toward meaningful outcomes 2

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. Where traditional service-level agreements track response and resolution times, Experience Level Agreements use weighted computation and AI analysis to connect service performance directly to employee sentiment, giving leaders a view of how IT performance shapes the broader employee experience 2

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With Executive Overview Insights and xLAs, the platform provides superior visibility needed to make faster, data-driven decisions that optimize both service delivery and operational efficiency . This analytics layer targets measurement as agents scale across the organization, helping leaders track performance against business outcomes rather than just technical metrics 1

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Competing in the Agentic AI Market with Unified Data Layer

The Freshservice expansion comes as enterprise software vendors race to move agentic AI from demos into production, with ServiceNow, Atlassian and Salesforce all rolling out competing agent platforms this year 2

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. Freshworks is positioning its unified data layer and no-code deployment as differentiators in a market where most enterprise buyers are still moving cautiously from pilot to production 2

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The release sits on top of Freshservice's ServiceOps foundation, which includes a reimagined IT asset management product with continuous discovery and dependency mapping, along with FireHydrant incident management from the startup Freshworks acquired earlier this year 1

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. As AI deployments continue to grow inside many organizations, automated discovery across the entire hybrid IT landscape is designed to eliminate hastily stitched together tools to keep data retrieval accurate 1

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Bob Laliberte, principal analyst for theCUBE Research, noted that the event underscores that AI is no longer a feature but an operating model shift requiring alignment across workflows, governance and architecture 1

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. The focus on execution helps organizations move from AI strategy to practical deployment, offering a pragmatic approach to delivering measurable outcomes without adding operational complexity and supporting compounding business growth over time 1

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