The AI Partner Blueprint goes live tonight at 7pm EDT. That's 12 hours from now. We’ll explore how professionals are turning the industry experience they already have into AI consulting work. Including three people who went from employment to running their own thing, and exactly how each of them landed their first client. If you've been wondering what that work actually involves, and whether your background fits, this is the session to be in. It's live, it's online, and there's time for questions. That last part is the reason to show up rather than catch it later: you can ask about your situation, not somebody else's. 12 hours. Then the doors close. [Save My Seat →]

Hey everyone, If an AI consultant walked into your workplace tomorrow, they’d have some questions. How does the work get done? Which systems do people use? Where do things get stuck? And which problems are actually worth fixing? You might already know the answers. You’ve spent years seeing what works, what doesn’t, and why that “simple process improvement” never quite happened. That context matters. Before anyone can implement AI properly, they need to understand the business it’s going into. And helping companies work through those decisions is a service you can build a business around. The interesting part is how you get started. Who do you approach? What do you offer? What do you charge and how do you deliver? In 48 hours, the Morningside team are running The AI Partner Blueprint, a free live workshop covering exactly that. They’ll break down how to turn your industry experience into an AI consulting offer, find businesses willing to pay for it, and deliver results even without a technical background. You’ll also hear how three professionals went from 9–5 jobs to running their own AI businesses, including how they found their first clients and made the transition. WHAT: The AI Partner Blueprint ​WHEN: Wednesday, October 21 · 7pm EDT ​WHERE: Online, with live Q&A ​COST: Free ​→ Save My Seat Here

Hey everyone, Building AI solutions is dumb. Strange thing for an AI development company to say. Here's what I mean. MIT put numbers on it: 80%+ of organisations have piloted AI tools like ChatGPT or Copilot. 95% of those pilots returned nothing measurable. The tools work. The licences are paid for. Almost nothing is coming back. Why? Nobody inside those businesses knows where to point it, which problems to solve first, or how to get a team to actually change how they work. That's not a building problem. That's an adoption problem, and almost nobody is competing for it, because everyone's busy learning to build. If you've spent years inside an industry, you already know where the work gets stuck. We'll show you how to turn that into a business. Next Wednesday we're breaking it all down live in The AI Partner Blueprint workshop. You'll leave knowing: - What businesses are actually paying for - The business model that needs no technical experience - How to find your first clients - What to offer and what to charge - How to deliver the work - How your industry experience converts Be there. Wednesday, October 21 · 7pm EDT (Thursday, October 22 · 12pm NZDT) Register here → live.news.morningside.ai Josh.

Over the past two years we've sold tens of thousands of dollars' worth of AI workshops at Morningside. They're the easiest way we've found to get in the door with a larger company. You're not pitching. You're in the room, teaching their exec team, building trust before anyone talks about a project. 75%+ of the organisations we run these with end up bringing us in on AI adoption work afterwards. Last Friday I ran a session inside the Accelerator breaking the whole thing down: why companies buy workshops, how we deliver them, and what's on every one of our 60+ slides. The agencies in there loved it, so I filmed a version for you too. I walk through the deck slide by slide. At the end you can grab the full Executive Workshop template, yours to keep. Same deck we use to run workshops companies pay thousands for. If you're working with larger organisations, or you want to see how we get executive teams to actually move on AI, this one's for you. → Watch the video and get the template Talk soon. Josh.

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.