Most businesses want to automate but few know where to start.

In this episode, AI engineer and agency owner Dave Ebbelaar walks us through the exact 7-step framework his agency uses to take clients from idea to launch.

Whether you're a freelancer, agency owner, or business looking to integrate AI, this episode breaks down a repeatable process that reduces risk, sets the right expectations, and actually delivers ROI.

🔑 What you'll learn:
→ Why you should use as little AI as possible (even at an AI agency)
→ How to identify high-value, low-risk automation opportunities
→ Why mapping your current process before building anything is critical
→ The difference between deterministic software and AI systems — and why it matters
→ How to build safeguards so AI failures don't reach your customers
→ What success metrics to track after launch

⏱️ Timestamps:
0:38 - Overview: 7 Steps to Implementing AI in Business
3:01 - Step 1: Discovery
8:48 - Step 2: Prioritization & Building the Business Case
14:20 - Step 3: Map the As-Is Process
19:23 - Step 4: Map the To-Be Process
23:57 - Step 5: Prototyping & Proof of Concept
28:42 - Step 6: Adding Safeguards & Controls
32:37 - Step 7: Launching & Success Metrics
37:10 - Managing Client Expectations with AI

One tool Dave recommends for mapping workflows: Business Process Model and Notation (BPMN). If you've never used it, it's worth checking out: https://en.wikipedia.org/wiki/Business_Process_Model_and_Notation

#n8n #AIAutomation #WorkflowAutomation #AI #NoCode

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