This CISO Team Cut L1 Ticket Load by 45% with a Single Knowledge Bot
See how a knowledge bot reduced CISO team L1 ticket volume by 45% through AI-powered self-service and automated support.
Security policies, standards, and procedures were scattered and hard to reach, so every routine question became a ticket. ConforgeLabs built a policy-aware knowledge bot on a retrieval-augmented architecture that pulls the right answer straight from the enterprise knowledge base, cutting L1 tickets by more than 45% and resolving issues over a third faster.
Lack of a Single Source of Truth for Security Policy.
Ask the CISO team where a given security policy, standard, or procedure lived, and the honest answer was "somewhere." Critical documentation wasn't held in one secure, access-controlled place. Finding it meant knowing who to ask or where to dig, and that friction turned even simple policy questions into support requests. The knock-on effect showed up everywhere downstream. End users waited on answers to fetch a policy before they could proceed, productivity slipped while they waited, and satisfaction slipped with it. Meanwhile, the team's L1 queue was filled with repetitive questions that only existed because the underlying documentation was hard to reach in the first place. A governance function whose whole purpose is clarity was being slowed by the search for its own rules.
“Half the tickets weren't really problems. They were people who just couldn't find the policy that already had their answer.”
