How to build and sell an AI automation agency
Straight answers to the questions AI agency builders actually ask. Two lines: Build it (the technical how-to) and Sell it (winning and pricing the work).
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Topic
Answers
Sell it
Project, retainer or hourly: how to price AI automation work
Sell it
Closing without a track record: using case studies and proof
Sell it
Warm outreach before cold: getting the order right
Sell it
Position yourself as 'AI and automation', not just 'AI'
Sell it
The words that win a proposal (investment, not cost)
Build it
How to build a knowledge base an AI can actually answer from
Sell it
Framing automation ROI: the cost-of-an-employee math
Build it
Airtable, Google Sheets or a real database: what to store data in
Sell it
Moving a client from a one-off build to a retainer
Sell it
Should you niche down your AI automation agency?
Build it
Make vs n8n: which automation platform should you start with?
Sell it
Should you pitch "automation" instead of "AI" to break into real estate and construction?
Sell it
Should you turn your automation into a SaaS product?
Sell it
What does a paid AI audit engagement actually look like, and how do you structure one for an enterprise client?
Sell it
Onboarding a client without a dozen back-and-forth emails
Sell it
How many outreach conversations does it actually take to land AI automation clients?
Sell it
Diagnose the client's problem before you pitch a solution
Sell it
Start with one high-impact automation to build trust
Build it
Building a voice AI agent: the speech-to-text, LLM and text-to-speech pipeline
Build it
OAuth2 vs service accounts: authenticating to an API cleanly
Build it
Email trigger vs database trigger: which should fire your workflow?
Build it
How to break a big automation into reliable, retryable steps
Build it
Scraping sites that fight back: Cloudflare, dynamic loading and empty HTML
Sell it