We are a community of 50k revenue creators, rewriting the playbook and shaping the future.
How Freshworks Built an AI Ops Team
Three people at Freshworks run AI Ops for a company of 9,000. None of them came from an AI background. They joined from business development, and built the function as they went. Join Relevance AI, in partnership with RevGenius for a candid fireside chat on how they prioritize a flood of use case requests, turn pilots into real business impact, and decide what to build vs. buy, and the lessons they learned along the way.
We'll cover:
Discover, pilot, deploy. How they partner with business leaders across regions to scope a use case, prove it on something small, and only then put it in front of a team.
Choosing from a wish list that never gets shorter. Every team wants an agent. How they rank the requests, and how they say no to the ones that are not an agent problem.
What sales reps actually adopt. Freshworks started in inbound business development and scaled into outbound and mid-market. What landed with reps, what they quietly stopped using, and the principles the team now applies before a build starts.
Build versus buy, from people who ran the evaluation. Freshworks looked at around thirty AI tools before picking a platform. Why a platform with every data source connected beat a set of point solutions.
A look under the hood. After the fireside, a live walkthrough of a Relevance multi-agent system: the agents, the processes, the data flows, the visual canvas. Then open Q&A.
We are a community of 50k revenue creators, rewriting the playbook and shaping the future.