According to a recent LinkedIn post from Console, the company is highlighting a new feature called Snippets aimed at automating and improving customer support knowledge bases. The post describes how Snippets analyzes historical support tickets to detect recurring questions and then proposes knowledge base entries with cited ticket sources.
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The post suggests that human teams retain control over automation, with each suggested snippet requiring explicit approval, rejection, or editing before publication. This emphasis on transparency and oversight may appeal to enterprises wary of “black box” AI, potentially positioning Console’s product as a lower-risk automation option in the increasingly crowded AI support tools market.
By focusing on turning existing support interactions into structured, reusable content, the feature could help customers reduce repetitive workloads and improve self-service resolution rates. If effective, this may enhance Console’s value proposition in customer support and CX operations, supporting upsell opportunities and improving customer retention, which could strengthen the company’s revenue profile over time.
The post also underscores a nuanced approach to knowledge management, acknowledging that not all answers should be automated or added to a knowledge base. This framing may differentiate Console’s AI tools from more aggressive automation platforms, potentially broadening adoption among larger or more regulated customers who need granular control over customer-facing content.