Hey everyone, If you want to operate a successful AI Agency, three questions matter more than anything else: What should you sell? Who should you sell it to? And what are businesses actually willing to pay for? Our September AI Agency Report is designed to help answer those questions. We analysed data from more than 800 active AI agency owners inside the Accelerator to see what is actually selling, where demand is coming from, and how agencies are structuring their offers right now. Use it to identify promising markets, sharpen your offer, and see where agencies are generating revenue from both one-off projects and ongoing work. We’ll be publishing this report every month going forward. Let’s get into what happened in September. 1. Project pricing We’ll start with what businesses paid for the projects reported. The average disclosed project price was $10,800 USD, with prices ranging from $3,000 to $20,000 USD. (refer to image 1) The priced work included paid diagnostics, assessments followed by custom builds, and a healthcare system for searching and drafting across regulatory documents. To understand those projects better, let’s look at the businesses buying them. 2. Client industries The reported clients came from several industries, with professional services making up the largest named group. Professional services accounted for 33.3% of entries with a stated industry. (refer to image 2) Professional-services work included legal case admin, accounting workflows and government-contract monitoring. Healthcare projects covered regulatory-document search and funnel diagnostics. Across these industries, the work addressed a range of business tasks. 3. Services being sold Here’s what agency owners built, assessed or delivered for those businesses. The reported work covered six main areas: - Document search and drafting: regulatory information, contracts and proposals. - Workflow automation: legal case admin and accounting processes. - Data assistants: production-data queries and meeting preparation. - Custom software: booking platforms, CRM systems and payments. - Diagnostics and training: business assessments and staff training. - Marketing systems: lead generation and customer testimonials.

You can know how to build AI systems and still struggle to sell them. Inside our paid community, I ran a live sales workshop where AI agency owners brought their real questions and we practised their sales conversations. Here are eight lessons you can use on your next call. Q: How do I get more people to book a meeting? Find a reason for the meeting before you offer it. “We should have a chat about AI” is vague. “You mentioned your team spends hours on manual admin. Would it be worth 30 minutes to look at where you could reduce that?” gives them a clear reason to say yes. Q: When should I pitch my solution? Only sell the next step. At an event, earn the first meeting. On that meeting, establish whether a diagnostic makes sense. Use the diagnostic findings to recommend the build. But pitching a custom CRM before you understand the business skips the work that makes your solution actually worth paying for. Q: How do I follow a structure without sounding scripted? Learn what each stage needs to achieve. Build rapport. Understand the need. Check whether it matters enough to act. Agree the next step. Practise that until you can listen to the person instead of trying to remember your next line. Q: Why do my conversations feel like interviews? You may be asking questions without responding to the answers. Use ARQ: acknowledge, relate, question. Acknowledge what they said. Relate where you can honestly. Then ask your next question. And ask one question at a time. Let them answer. Q: Should I always dig into pain? Listen to what they lead with. If they say, “I want to grow to £10 million,” explore that goal first. If they say, “My admin costs are getting out of hand,” explore that problem first. Their first answer gives you a starting point. Use it. Q: What if the client doesn’t understand the technology? Use their language. A dentist may care far more about missed appointments than the difference between a checklist and a workflow. Connect your work to the outcome they care about. Explain the technical details when those details help them make a decision.

Welcome! It's great to have you here. Before you introduce yourself, let me tell you why this community exists. 📍 Our mission The world is about to split between people who can use AI and people who cannot. We exist to stop that gap becoming permanent. This community exists to put you in that second group. My team and I run Morningside AI, a 7-figure AI business working with everyone from local companies through to Fortune 500s. Along the way, we created the AI Automation Agency (AAA) model: the framework thousands of people now use to start and scale their own AI businesses. Everything we teach comes straight from the frontlines. Not theory. Not guru talk. What's actually working right now, handed over. And we've watched complete beginners in here go from "I know nothing about AI" to landing their first paying clients. That's the whole point of this place. You're next. With that out of the way, start here 👇 1. Introduce yourself below. Drop a comment with: - Where in the world you're from - What you're building toward (first client? career change? scaling an agency?) - One thing you're stuck on right now 2. Then head to the Classroom → Start Here. It takes 10 minutes, and you'll know exactly what to do first. While you're in the comments, read a few intros. If someone's story sounds like yours, tell them. Some of the best client work in this community started with two members saying hi. See you inside, Liam 💪🏽