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AI-assisted ops: triage, summaries & routing

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AI-assisted Ops
AI-assisted ops: triage, summaries & routing

Replace the boring middle layer of your business — inbox triage, ticket routing, daily summaries, internal reports. AI handles the noise so your team handles the signal.

What you get

  • Inbox & ticket triage with LLM classification
  • Daily / weekly AI summaries from many sources
  • Smart routing to the right person or tool
  • Internal AI assistants on your own data

How I build it

  1. 1Identify the 3 biggest manual time-sinks
  2. 2Build n8n / Make flows with LLM nodes
  3. 3Add guardrails, fallbacks & human review
  4. 4Roll out, measure time saved, expand

The boring middle layer

Every business has it: tickets that need to be classified and routed, leads that need to be enriched, status updates that need to be summarized, reports nobody wants to write. It's not glamorous, it doesn't sell — but it eats 30–50% of operational hours.

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How AI replaces it

n8n or Make hooks into your tools (inbox, CRM, calendar, Slack, docs). LLM nodes read the content, classify it, summarize it, route it or draft a reply. Guardrails catch the edge cases; humans only see what actually needs a human.

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Real numbers

A typical client saves 10–20 hours per week within the first month — support response times drop from hours to minutes, sales response speeds double, and daily standups turn into a 2-minute auto-briefing instead of a 30-minute meeting.

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Tools & stack

n8nMakeOpenAIAnthropicSlackNotionHubSpot

Typical use cases

  • Support inbox triage & auto-replies
  • Sales lead enrichment & routing
  • Internal daily briefings from CRM, calendar, docs

More workflow topics

Interested in exactly this setup?

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