In-person meetup at Resolve AI SF HQ | Duration: 30 minutes | Originally delivered: January 29, 2026
Inefficient engineering workflows impact revenue and costs every day.
To name just a few: It takes 3 - 6 months for new engineers to onboard, changes take too long to deploy and trigger incidents, and customers report issues before engineering teams discover them. Workflow speed bumps like these also negatively impact developer velocity, wellbeing, collaboration, and effectiveness.
As a result, incident resolution takes a lot of time, people, and effort.
Zscaler wanted to change this, so they evaluated AI SREs and AI for prod solutions and then selected, implemented, and trained Resolve AI.
In this tech talk, Duncan Winn, VP of Engineering and SRE Lead at Zscaler, highlights Zscaler's use case, evaluation and implementation strategy, and outcomes using Resolve AI, including reducing investigation time by 75%.
Stay current on how the best engineering teams are using AI in production. Customer spotlights, product updates, how-tos, and more delivered monthly.
Varun Krovvidi
Product Marketing Manager
Varun is a product marketer at Resolve AI. As an engineer turned marketer, he is passionate about making complex technology accessible by blending his technical fluency and storytelling. Most recently, he was at Google, bringing the story of multi-agent systems and products like Agent2Agent protocol to market
Discover why most AI approaches like LLMs or individual AI agents fail in complex production environments and how multi-agent systems enable truly AI-native engineering. Learn the architectural patterns from our Stanford presentation that help engineering teams shift from AI-assisted to AI-native workflows.
Hear AI strategies and approaches from engineering leaders at FinServ companies including Affirm, MSCI, and SoFi.
Resolve AI has launched with a $35M Seed round to automate software operations for engineers using agentic AI, reducing mean time to resolve incidents by 5x, and allowing engineers to focus on innovation by handling operational tasks autonomously.
