November 2026 Freshworks product update
Welcoming Torii and Robusta to Freshworks, and more product updates
At What’s New in Freshservice, our Chief Product & Technology Officer Ryan Manning outlined an expanding opportunity for IT: transform its own operations with AI, then use that experience to help the wider business do the same. That next chapter for Freshworks is taking shape through continued investment in Freshservice.
Welcoming Torii and Robusta to Freshworks this month builds on the capabilities behind that ambition. Torii complements Freshservice ITAM with deeper software and AI management intelligence. Robusta adds AI-powered investigation to our incident management strategy across Freshservice and FireHydrant. Together, they reinforce our commitment to aligning IT environment visibility with seamless service management and operational execution.
That expanding mandate also calls for deeper capabilities within IT’s own operations. This month, we’re giving teams more precise control over access as their organizations grow. We’re also bringing a more conversational, proactive Copilot experience into broader availability and helping teams coordinate and improve Freddy AI Agent support. Together, these updates give IT teams more control over their operations and more capable AI to help reduce everyday service effort.*
Connecting software intelligence to service operations
IT needs to understand what the business runs and what it costs, alongside how it performs and what to do when something goes wrong. Those questions often depend on information scattered across systems, leaving teams to reconstruct the picture before they can make a decision or resolve a disruption.
Torii brings software and AI discovery together with usage, access, and spending information. That intelligence complements Freshservice ITAM’s understanding of assets and service dependencies, helping build a broader view of the environment IT manages. It creates opportunities to connect software management decisions more closely to employee needs and business value.
Robusta brings a complementary form of intelligence: investigating disruptions to understand their causes and help responders determine how to recover. Connecting that diagnostic evidence with Freshservice’s service context and FireHydrant’s incident response orchestration can help teams carry their understanding from investigation into coordinated recovery, with lessons informing future prevention.
Together, these acquisitions advance our ServiceOps vision of shared context informing decisions and governed action. Over time, employees can get the tools and reliable services they need with less friction, while IT gains a clearer understanding of the operational and financial impact of its decisions. That is part of equipping IT to enable AI adoption and manage its growing role across the enterprise.
Stronger governance as responsibilities grow
As IT takes on a broader mandate, its own service operations need clear boundaries. As more teams work with critical service information, protecting its integrity means being deliberate about who can access it and make changes. Someone responsible for resolving tickets may need different permissions from a colleague managing administrative settings. Broad access bundles can make those distinctions difficult to enforce.
Granular role-based access control (GRBAC) gives all Freshservice ITSM plan admins fine-grained control over what each role can do. By breaking broad permission bundles into individual privileges, IT teams can enforce least-privilege access, separate administrative duties, and support audit readiness, while keeping permissions right-sized as service operations grow.
For growing organizations, this is an important safeguard to reduce excess permissions while keeping work distributed across specialized teams. It strengthens governance within IT’s own operations, supporting the accountability Ryan described as essential to IT’s evolving role.
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A more impactful Freddy AI Copilot experience
For the IT member resolving a ticket, useful context often sits across previous interactions, knowledge articles, and the work other teams have already completed. Finding and interpreting that information takes time. Helping teams spend less time on that routine investigation with AI gives them more capacity to take on higher-value work across the business.
This is the direction we described in Copilot’s next chapter: a service partner that understands more of the situation and brings relevant assistance into the flow of work. November brings recent innovations into general availability (in certain plans), giving teams a conversational way to investigate issues, retrieve knowledge, and find similar tickets. Proactive reply drafts and requester sentiment insights help agents respond with a clearer understanding of the conversation.
For this assistance to become dependable, it also needs to reflect the team’s processes. Admins can shape summaries and resolution documentation around their requirements, while knowledge enrichment helps identify gaps revealed by resolved tickets.
Together, these capabilities give service teams more consistent support throughout resolution. As AI seamlessly brings relevant knowledge into the fold, teams spend less time reconstructing the situation and more time moving the request forward.
Help AI support improve as it grows
As teams put Freddy AI Agents to work across service functions, coordinating their support becomes increasingly important. Employees need an easy way to get help, even when a request involves more than one department. Multi-agent orchestration connects specialized AI agents through one conversation. New support for Google Chat gives employees another familiar channel to access AI-powered service. More flexible workflow logic and authentication controls help teams shape the processes behind that support around operational needs and existing access boundaries.
Managing a growing set of Freddy AI Agents also means understanding how well they serve employees after deployment. The new Analyze and Improve experiences inside Freddy AI Agent Studio connect agent performance insights with knowledge recommendations grounded in service conversations. Teams can act on those recommendations and track subsequent outcomes, making improvement an ongoing part of managing AI inside their environment.
Writing IT’s next chapter
Ryan’s vision places IT in a position to shape how the wider business adopts AI. Building toward that role starts with connecting a clearer understanding of the technology environment to the decisions and service experiences IT manages every day.
November’s investments deepen those connections. As Freshservice evolves, our ambition is to equip IT to drive AI transformation and take on the ongoing responsibility of managing and governing AI across the enterprise.
*Certain features and innovations may vary by plan and availability. For timing and additional details, refer to the Freshservice November 2026 release notes.
