Generative AI
Generative AI is software that produces new content, text, images, code, audio, rather than classifying or scoring existing data.
Generative AI is the broad category of AI systems that produce new content, text, images, code, audio, video, rather than classifying or scoring existing data. It is the umbrella term covering LLMs, image generators, and multimodal systems.
In context
The shift to generative AI is the dominant 2023-2026 technology transition in customer software. Earlier AI systems primarily scored, classified, or routed; generative AI writes the reply, drafts the article, summarizes the conversation.
In customer service, generative AI underpins auto-resolve agents, agent copilots, automated KB-article drafting, conversation summarization, and sentiment-aware reply suggestion. Zendesk's published research puts AI summarization at 35-45% reduction in escalation handle time.
The category also concentrates the most-publicized failure mode of the era: MIT's August 2025 research found 95% of GenAI pilots at companies fail to deliver measurable P&L impact. The failure pattern is consistent, pilot scope mismatched to production, customer-owned optimization labor, no outcome metric in the contract.
How Auralis uses Generative AI
Every Auralis module uses generative AI: Autopilot generates ticket resolutions, Assist generates agent reply drafts, Audit generates quality scores, Knowledge Center generates new KB-article drafts. The Auralis team tunes each weekly.