The Change Succeeded. Did the Network? Building Confidence in Change Outcomes – REAP Triple-T
A successfully implemented change can still produce the wrong network outcome. Using one REAP example, this session shows how AI interprets a change ticket and proposes a validation plan for engineer review, covering the intended outcome, devices in scope, and conditions that must remain unchanged. Read-only checks capture configuration and operational state before and after implementation, giving objective evidence of whether the change worked and what remains unverified. Attendees leave with a practical validation checklist they can adapt to their own change processes.
Raja Tadimeti is co-founder and CEO of REAP, which builds agentic AI for network operations. He has spent more than 25 years building networking systems. Before REAP, he was a Distinguished Engineer at Juniper Networks, which he joined through Juniper’s acquisition of WiteSand, the company he co-founded and served as Chief Scientist. Earlier, he was at Pensando Systems and spent more than a decade at Cisco, including the Andiamo and Insieme teams behind its storage networking and data center switching platforms. He holds several networking patents and a master’s degree in computer science from the Indian Institute of Science.
