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.
Rishit Lakhani leads Solutions Engineering at Reap, working with enterprise network
teams on agentic AI for network operations. He has spent a decade selling and proving
complex network technology in large enterprises, first at VMware on SD-WAN and then
at Nile, which he joined in stealth as one of its first solutions engineers.
