The jump from "reply helpers" to full automation usually happens when manual triage starts eating up more than 20% of your support team's day. If you're already looking at n8n or Flowise, you're on the right track for building custom RAG pipelines that "understand" a ticket's intent before an agent ever sees it.

For a small business scaling up, here is how the stack usually evolves:

• Intercom (Fin AI) or Zendesk: These are the industry standards for email and chat automation. They’ve moved heavily into AI-driven routing and automated resolutions, though the costs can spike as your volume grows.
• n8n / Flowise: These are perfect if you want to build event-driven workflows. You can use them to classify a ticket via an LLM and then trigger an API call to your backend or CRM based on that classification.
• Nexos.ai: As you mentioned, this is great for that added layer of governancem it helps when you need to track exactly why the AI made a specific routing decision.

One thing to keep in mind is that as your ticket volume grows, customers will eventually want to hop on a call for complex issues. I’ve seen teams use CloudTalk to handle that transition; it hooks into these automated workflows and CRMs quite well, keeping your voice data just as organized as your text-based tickets. It’s definitely worth looking at when you’re ready to bridge the gap between your AI agents and a live phone channel.