How to Run a $60,000 AI Audit as an AI Agency

TL;DR

AI agencies can escape commoditized development work by pivoting into AI consulting, running paid audits that position them as a client's AI transformation partner. Morningside AI built this over 6 to 8 months, moving from a free 8-week audit that lost $30,000 to a current $60,000 four-week audit, with proposals out for $80,000 and more.

Transcript

how to perform a $60,000 AI audit as an AI agency. This is a follow-up video to the one that I've done previously on is AI replacing us as agencies. And the answer is in the development side, yes. And the solution to this that we've had at my agency, Morningside AI, is to pivot more into offering the consultancy services and education as the sort o... Read More

Key Insights

• AI is commoditizing agency development work, as tools like Claude, n8n, Microsoft Copilot, Cursor, Bolt, and Lovable let businesses self-serve automation, pushing agencies to sell strategy and consulting instead of just building workflows and agents.
• Morningside AI's consulting journey went from a free 8-week audit that cost them $30,000, to a paid $30,000 six-week audit, to a current $60,000 four-week audit, with proposals out for $80,000 and above.
• Consulting lets agencies land much larger clients than development can, because a consulting project does not require getting into the technical weeds, making it easier to work with big companies and build stronger case studies.
• A four to six week audit functions as an extended sales cycle: by learning the business, tech stack, and processes deeply, agencies build trust so development deals close almost automatically afterward.
• Consulting historically emerges from technological upheaval, with McKinsey founded in 1926 amid industrial revolution complexity, followed by web and digital agencies during the dotcom boom, and now AI consulting today.
• AI creates more complexity than any prior technology because it can change everything, including the business model itself, not just marketing or online presence, so consulting means helping businesses navigate change they do not understand.
• The AI consulting market is expected to grow to $73 billion by 2033, making it one of the fastest growing industries, while roughly $50 billion of a consulting gap remains largely unaddressed for small to medium businesses.
• AI projects fail at an 80 to 85 percent rate, roughly twice the failure rate of usual IT projects like a custom CRM at around 40 percent, which is why businesses need guidance on where to apply AI rather than just how to build it.

Questions & Answers

Q: Why are AI agencies pivoting from development to consulting?

Development work is being commoditized as tools like Claude, n8n, Microsoft Copilot, Cursor, Bolt, and Lovable make it easier for businesses to self-serve the AI automation, workflows, and agents they need. As building becomes accessible, the value shifts to knowing where to apply AI. Agencies like Morningside AI pivot into consulting and education, offering strategy as a primer that leads into development services, positioning themselves as AI transformation partners rather than just implementers competing on build work.

Q: How much does Morningside AI charge for an AI audit?

Morningside AI's current offer is a $60,000 four-week AI audit. Their journey to that price started with a free 8-week audit that cost them $30,000 in losses, followed by their first paid audit at $30,000 over six weeks. They now also have proposals out to larger companies for $80,000 and more. Each step let them attack bigger clients and build stronger case studies, since consulting projects are easier to sell to large companies than full development projects.

Q: What is the AI transformation partner model?

The AI transformation partner model is Morningside AI's approach of transforming businesses and partnering with them through the full cycle of AI transformation, rather than just building isolated tools. It combines strategic consulting with development, so the agency both makes recommendations and stays on the hook to deliver them. This ties consulting tightly to development, breaks the stereotype of consultants who only waffle and give recommendations, and aims to claim part of the roughly $50 billion consulting gap that is largely unaddressed.

Q: How big is the AI consulting market opportunity?

The AI consulting market is expected to grow to $73 billion in 2033, making it one of the fastest growing industries on the planet. The speaker notes there is also roughly $50 billion in a consulting gap that has not really been addressed, especially for small to medium businesses where there is basically no one offering a full-service AI strategy and development combination. Getting into a fast growing industry, even just doing okay, can be very profitable.

Q: Why do AI projects fail so often?

AI projects show an 80 to 85 percent failure rate, roughly twice the failure rate of a usual IT project. For comparison, a custom internal CRM project might have around a 40 percent failure rate. The high failure rate reflects that even when businesses can build AI themselves, they struggle to know where to put it. This gap between building AI and applying it effectively is exactly where consulting agencies provide value, guiding businesses on strategy rather than just implementation.

Q: How does an AI audit lead to development deals?

A consulting audit acts like a four to six week sales cycle where the agency discovers the business, learns its processes and tech stack, and builds trust. By the end, the agency understands the whole business more deeply than the client has in years, so recommendations carry serious weight and development deals make obvious sense. The agency can then pick off development projects one by one, often starting fresh rather than building on top of failed prior AI attempts, making the transition into development much smoother.

Q: Where did the consulting industry originally come from?

Consulting emerged from technological revolutions that created complexity businesses could not navigate alone. McKinsey was founded in 1926 amid manufacturing and logistics chaos from the industrial revolution. The dotcom boom brought the internet disrupting how businesses interacted with customers, spawning web and digital agencies to help plan adaptation. AI is the current wave, creating more complexity than any prior technology because it can change everything including the business model itself. The pattern: technological revolution creates complexity, complexity creates confusion, and confusion creates consultants.

Q: What beginner-friendly AI audit does the video recommend?

For those new to AI consulting, the speaker recommends starting with a simplified two-week assessment rather than the more advanced four, six, or eight week audits Morningside has run. It is an entry-level AI audit and consulting package distilled from their experience with small and larger businesses, representing exactly what he would do to pivot an agency into these services. The video promises a full step-by-step guide for running that first audit, along with a downloadable resource that accompanies the video.

Summary & Key Takeaways

• Morningside AI, an agency, is pivoting from pure AI development into strategic consulting because tools like Claude, Cursor, Bolt, and Lovable let businesses self-serve automation. The solution is offering consultancy and education as a primer for development services, becoming an AI transformation partner across the full transformation cycle.

• The agency's consulting track record progressed from a free 8-week audit for a New Zealand steel company that cost them $30,000, to a paid $30,000 six-week audit, to a current $60,000 four-week audit, with proposals out for $80,000 and more. Bigger consulting clients lead into development work.

• Consulting is framed as helping businesses navigate change they do not understand, a pattern seen since McKinsey's 1926 founding and the dotcom-era web agencies. AI consulting is projected to reach $73 billion by 2033, and Morningside plans to share a beginner-friendly simplified two-week assessment.