Jia Yong Lim@jiayong100855291

In B2B SaaS, customer support gets bottlenecked by complex technical inquiries like, "Why did my payment fail yesterday?" or "Why was my payment charged incorrectly?" Resolving these require software engineers to stop coding, dig through codebase rules, query production replicas, and trace server log files. This process is slow, expensive, and takes engineers away from building features. As a developer managing multiple client SaaS projects over long periods of time, I faced a recurring bottleneck: clients would constantly ask technical queries like, "Why can't my user see this button today?" Answering is exhausting. First, no developer remembers the exact conditional rules of a codebase they wrote months ago. Second, they have to query the replica database to verify that specific user's database role state. Most customer service bots only read static FAQs, Notion pages, and manuals. But they are completely blind to your codebase logic, or live database records. ZeroTicket was built to delegate this tedious technical archaeology directly to AI. ZeroTicket shifts this paradigm from manual escalations to Support-as-Code: Old Flow: End User ➔ Ask technical question ➔ Support agent escalates ➔ IT/Developer stops building features ➔ Developer digs through server logs, codebase routing, and production replica DBs ➔ Developer writes explanation. New Flow: End User ➔ Ask technical question ➔ ZeroTicket checks the code rules, live logs, and database replica securely ➔ Explains instantly ➔ IT/Developers focus strictly on coding new features and resolving real system bugs. ZeroTicket is a self-contained support-as-code engine. It ingests your codebase, connects to a read-only database replica, and parses live logs. When a user asks a complex technical question, the AI reasons over actual code rules and live data to resolve the ticket in seconds.

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