7 Steps to Automate Any Business With AI

By n8n

Categories: Tools, Product

Summary

An AI automation expert reveals why most companies fail at automation: they skip discovery and pick projects that are too ambitious. Start with low-risk, high-value backend processes at 70-80% automation instead of chasing 100% customer-facing solutions that can damage reputation.

Key Takeaways

  1. Start automation projects at 70-80% completion, not 100%. Perfectionism kills momentum and increases risk of failure. Begin with backend processes where errors have minimal customer impact.
  2. Discovery phase is critical: interview stakeholders, create a prioritized backlog of automatable tasks, and score each by impact and risk before building anything. Most agencies skip this and fail.
  3. Avoid customer-facing automation first. Deploy chatbots and AI internally before exposing to end users. High-error-impact processes should only be automated after proving the system works safely.
  4. Shadow employees for a day to identify repetitive manual tasks. Most people perform surprising amounts of daily work that's ripe for automation but invisible in standard process documentation.
  5. Rank automation opportunities on a scorecard measuring impact vs. risk. Prioritize low-risk, high-value wins first to build momentum and stakeholder confidence before tackling complex processes.

Topics

Transcript Excerpt

Even though we market ourselves as an AI agency, we usually like to use as little AI as possible, the things that we're trying to automate are simply too big of a process to start with, too big of a scope. We kind of like shadowed people for a day, just walking around asking people like, "Hey, what are you doing?" Just like looking at their computer and you'll be surprised how many people are like still doing that on a daily basis. We don't get to 100% immediately. Usually, you start at 70 80. W...