Problem: SaaS teams drowning in support tickets adopt AI chat tools like Chatbase, but the general-purpose approach forces every customer, from ecommerce to fintech to dev tools, into the same generic onboarding and knowledge ingestion flow. That means longer time to first value and answers that miss segment-specific context. Named product: SupportWedge, an AI customer service assistant purpose-built for one SaaS vertical rather than everyone at once. Solution: pick a single underserved segment of SaaS teams, pre-load segment-specific answer patterns, integrations, and escalation logic, and cut onboarding from hours of doc wrangling to a guided sub-30-minute setup. MVP: a hosted chat widget that ingests a team's docs and help center, answers customer questions, and cleanly hands off to a human when confidence is low, with the Klarna lesson baked in from day one. Revenue: monthly SaaS subscription tiered by conversation volume and seat count, mirroring Chatbase's proven pricing surface. GTM: land in the community threads where teams are already debating AI support quality, publish honest before-and-after resolution comparisons for the target segment, and win on faster onboarding. Growth loops: a 'powered by' link on the chat widget plus shared public transcripts of resolved tickets that double as SEO landing pages and social proof.