//01Service
AI Automation & AI Agents
//What it is
What are AI Automation & AI Agents?
End-to-end workflows and autonomous agents that move data between your tools, draft and send communication, process documents and make routine decisions. Built on n8n, custom code and the model that fits the job, with logging, fallbacks and a human hand-off so nothing fails silently.
//What you get
//Questions
AI Automation & AI Agents, answered
What is the difference between an AI automation and an AI agent?
An automation follows a fixed path: trigger, steps, result. An AI agent makes routine decisions inside that path, such as classifying a request, drafting a reply or choosing the next action, and hands off to a person when it is unsure.
Which tools do you build automations on?
n8n for orchestration, custom TypeScript or Python where the logic is complex, and whichever language model fits the task. Everything connects to the CRM, inbox, calendar and spreadsheets you already use.
What happens when an automation fails?
Every workflow ships with logging, retries, alerts and a human hand-off, so a failure is visible within minutes and never silent. You also get a short runbook your team can follow.
//Related
Workflows and resources for AI Automation & AI Agents
Inbound lead capture and follow-up
Every inbound lead from web, phone and email lands in one CRM record, gets enriched, scored, and receives a first reply within two minutes.
→ First reply in under two minutes, every lead in the CRM
Why AI automation fails in small businesses (and the fix)
Most AI automation projects in small businesses fail for three reasons: no process map, no owner, and no fallback. Here is how to avoid each one before you build.