Customer & Community Support
This use case is a work in progress. We're actively building and refining it with early partners.
Support agents deal with the same questions, escalation patterns, and edge cases over and over but traditional systems treat every ticket as if it's the first time. With Neocortex, your support bot builds a living memory of past resolutions, customer context, and community knowledge.
How It Works
Ticket history as memory: Past support interactions are ingested so the agent remembers what was tried, what worked, and what didn't across customers and over time.
Community knowledge: Forum posts, Discord threads, and FAQ updates are continuously indexed. The agent surfaces proven community answers before generating new ones.
Noise decay: Outdated workarounds and deprecated solutions naturally fade, so the agent doesn't suggest fixes for problems that no longer exist.
Per-customer context: The agent remembers a customer's product tier, past issues, and preferences without needing to re-read their entire history every time.
Example
A customer writes in about a billing issue. Instead of starting from scratch, the agent recalls that this customer had a similar issue two months ago that was resolved by adjusting their plan tier and suggests the same fix immediately.
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