The AI Hub
AI automation, integration, and implementation — in one place
Start with the question you're trying to answer. Each pillar collects the blueprints, guides, and updates that answer it.
AI Automation
Which work should AI take off your team's plate?
Workflows where AI does the volume — inbound triage, document intake, follow-up, reporting — and people handle the exceptions.
5 blueprints · 2 guides · 3 updates
AI Integration
How does AI connect to the tools you already run?
Wiring AI into your CRM, accounting, inbox, and knowledge base with Make, n8n, and APIs — so it works inside your stack, not beside it.
5 blueprints · 1 guides · 2 updates
AI Implementation
How do you launch AI so it stays safe, measured, and owned?
Readiness, governance, evaluation, and rollout. The operating discipline that separates AI that sticks from pilots that stall.
3 blueprints · 2 guides · 2 updates
Guides
Start here
Guide · 1 min read
The AI approval matrix: what AI can do alone, and what needs sign-off
A one-page control that decides, for every AI action, whether it runs on its own, needs a human's approval, or stays with a human entirely.
Guide · 1 min read
Earned Autonomy: taking an AI workflow from drafts to autonomous
A step-by-step way to let AI take on more work only as it proves itself — the same logic managed care uses to loosen review for trusted providers.
Guide · 1 min read
Workflow, agent, or both? Choosing the right build for an SMB
How to decide between Make or n8n workflows, AI agents, and off-the-shelf tools — and why most good systems combine them.
SMB AI Daily
Latest updates
OpenAI's "dots" put always-on AI agents inside ChatGPT
OpenAI launched dots, AI agents that keep working on a goal in the background and connect to thousands of apps. They come with ChatGPT's Business Premium plan, so the real decision for owners is which task to hand over first and what the agent may do without asking.
Agent or workflow? A simple rule for deciding
Autonomous agents and workflow tools like n8n are converging, and it's getting harder to know which to use. One rule of thumb cuts through it.
The automation market has split into three layers
Workflow automators, AI agent builders, and vertical engines each solve a different problem. Buying the wrong layer is a common and expensive mistake.
Find the three workflows worth automating first.
A 20-minute operations call. No pitch deck — we look at where your team's hours go and whether AI is the right fix.