AI Consulting: Rapid Growth Through Tiered Solutions and Pent-Up Innovation - Episode Hero Image

AI Consulting: Rapid Growth Through Tiered Solutions and Pent-Up Innovation

Original Title:

TL;DR

  • AI consulting offers a significant opportunity for individuals with existing skill sets augmented by AI, enabling rapid business growth from zero to $80,000/month within five months, as demonstrated by Brandon Gadosi.
  • Successful AI consulting involves a three-tiered solution approach: leveraging existing AI features, integrating AI with existing tools via automation platforms, and building complex custom AI solutions.
  • The current AI landscape presents a unique market opportunity driven by leadership's fear and hope regarding AI adoption, creating demand across companies of all sizes for operationalization expertise.
  • Identifying and empowering "AI Operators" within organizations is crucial for successful AI adoption, fostering internal champions who can discover use cases and bridge the gap between business needs and AI capabilities.
  • AI consulting engagements often focus on unlocking "pent-up innovation" by enabling frontline workers to rapidly develop and deploy AI-powered solutions, democratizing innovation and increasing employee empowerment.
  • Demonstrating tangible ROI through quantifiable time savings, cost reductions, or revenue generation is key to securing larger AI consulting contracts and proving the value of AI investments to executive leadership.
  • The AI consulting industry is characterized by high demand and premium pricing due to its novelty and the significant implementation work required, allowing consultants to command substantial fees by delivering measurable value.

Deep Dive

An AI consulting business, launched just five months ago, has rapidly scaled to $80,000 per month by capitalizing on the immense market demand for AI implementation. This rapid growth, driven by a founder with broad existing skill sets augmented by AI proficiency, demonstrates a significant market opportunity for individuals and companies adept at translating AI capabilities into tangible business solutions. The core implication is that AI proficiency, combined with a consultative approach that focuses on solving specific business problems, offers a lucrative and high-demand service.

The primary driver of this success is the founder's ability to bridge the gap between AI's potential and enterprise needs through a tiered solutioning framework. This framework addresses problems at three levels: demonstrating existing AI features for immediate efficiency gains, integrating AI with existing tools for more complex workflows, and building custom solutions that combine deterministic and probabilistic AI for sophisticated tasks. This approach ensures that clients receive tailored solutions, from simple educational insights to complex custom applications, all while managing the inherent uncertainties of AI. The demand stems from a widespread executive mandate to "do something about AI," creating pressure to adopt the technology, often driven by fear or hope, necessitating expert guidance to navigate this landscape effectively.

This AI consulting model is proving highly adaptable, serving companies from startups to those with thousands of employees. The founder's approach emphasizes not just delivering technical solutions but also facilitating change management and cultural integration, fostering what he terms "pent-up innovation" by empowering employees to leverage AI. This consultative approach, which includes audits, workshops, and fractional executive roles, is priced at a premium, reflecting the high value and immediate ROI delivered. The critical takeaway is that AI consulting is not merely about technical implementation but also about strategic guidance, problem-solving, and driving quantifiable business value in a rapidly evolving technological landscape.

Action Items

  • Audit AI readiness: Survey 50 managers and employees to identify AI adoption barriers and opportunities.
  • Create AI solutions brief template: Define 5 required sections (problem, steps, stakeholders, impact, AI level) for consistent use cases.
  • Implement AI operator program: Identify and train 3-5 internal employees to champion AI discovery and initial solutioning.
  • Develop AI ROI dashboard: Track 5 key metrics (e.g., hours saved, cost reduction) for 2-3 pilot projects to demonstrate value.
  • Build AI solutions catalog: Document 10-15 identified use cases, categorized by AI level (1-3) and potential impact.

Key Quotes

"I firmly believe that being an ai consultant is one of the biggest opportunities that anyone in the world can take advantage of today and so i wanted to sit in dial in and say how are you doing this how are you finding customers how are you helping these customers what size companies are you working with how can we do what you do"

The speaker expresses a strong conviction about the current opportunity in AI consulting. This quote highlights the core motivation behind the discussion: to understand the practical strategies and customer engagement methods employed by a successful AI consultant. It sets the stage for a deep dive into the "how-to" of this burgeoning field.


"I've told people for a long time that if it's the way that you're supposed to be going it won't be it'll be hard but it won't be complicated and that's what i feel like happened with this and so it's been it's been challenging but it hasn't been complicated"

The speaker reflects on a personal philosophy regarding entrepreneurial endeavors. This quote suggests that when a path is aligned with one's purpose, the challenges encountered, while significant, will not be overly complex or confusing. It implies that the AI consulting business, despite its difficulty, possesses a clarity of direction.


"So my skill set was i learned all the chat gpts all that stuff that was out there and went deep in their features but also used my development coding skill set to like create custom solutions and learn how to interact with the apis of these companies and um you know what is agentic ai what does that really mean and how does that work and what's hype and what's real"

The speaker details the specific technical skills that contributed to their success in AI consulting. This quote illustrates a blend of readily available AI tools and foundational coding abilities, emphasizing the importance of understanding not just the tools themselves but also their underlying mechanisms and market perception. It points to a comprehensive approach to AI problem-solving.


"I think about solutioning for ai in three levels so the first level is it'd sound like this you would say i i have this problem or i want to do this thing i would say did you know that this feature in chat gpt can do that and you say no i don't let me show you now you know save 30 of your time you're happy you get to stock a practice on time all the things that's a level one solution a level two solution would be that's not enough we need to now cobble together some different systems and move information around we want ai to be involved somehow but they're existing tools zapier um all the different ones that we just mentioned that's a level two solution and a level three solution would be we have a complex task that needs orchestration we need some combination of deterministic and probabilistic interactions with technology and we need to build that and deploy it ourselves"

The speaker outlines a tiered framework for approaching AI solutions. This quote breaks down the consulting process into three distinct levels, ranging from leveraging existing AI features to building complex, custom integrations. It provides a structured methodology for understanding and addressing client needs with AI.


"AI is a probabilistic technology ask it the same question and you're going to get different answers each time directionally accurate but it's not a if this then that yeah it's not one plus one is always going to equal two it's you're going to ask it like what is the best suitcase for my trip to india yeah right and it's going to well what do you you're going to kind of get the same result but different words different structures etc so probabilistic in that it's it's giving you the highest probable outcome based on the patterns and the math that ai exists deterministic is more that if this then that type of thing and that's what traditionally our code has been right"

The speaker clarifies the fundamental nature of AI technology. This quote differentiates between probabilistic AI, which generates varied but contextually relevant outputs, and deterministic systems, which follow rigid "if-then" logic. It highlights a key characteristic of AI that consultants must understand to manage client expectations and build effective solutions.


"Pent up innovation you know and if you can unlock that you kind of get this micro innovation at scale you know if you've got a front line worker who has an idea in the past they never would have got it off the ground because they're not going to get development time or resources but they have the best ideas because they're the most relevant to what the company's doing they're the subject matter expert now that person i'm finding this out there all the time they used cloud code to to code up an application for them and two other people that's become integral to their process the ceo doesn't even know about it but it works amazingly and then our job is to say that's great let's get it off local host and in somewhere where we can manage it but you want to see that you want to release that pen up innovation that's been locked away in these you know corners and silos and ai is allowing us to do that both through the tooling and the features that it offers but also just because of our ability to spin up custom software for you know small groups fast"

The speaker introduces the concept of "pent-up innovation" and its connection to AI. This quote emphasizes how AI empowers individuals within an organization, particularly frontline workers, to develop and implement their ideas rapidly. It suggests that AI's ability to facilitate custom software development unlocks latent creativity and efficiency that was previously inaccessible.

Resources

External Resources

People

  • Brandon Gadosi - Owner of an AI consulting and services company.
  • Rachel Woods - Coined the term "AI operations" and is a respected figure in the AI operations space.

Other Resources

  • AI operations - A concept for experimenting with and bringing AI into businesses for meaningful results.
  • Agentic AI - A concept related to AI that is currently alluring but the technology is not fully developed.
  • Pent up innovation - The idea that employees have valuable ideas that are locked away due to a lack of resources or development time.
  • AI operator - An employee identified and empowered to discover and help implement AI use cases within an organization.
  • Solutions brief - A templated way of understanding a problem, including steps, involved parties, and context.
  • Vendor economy/SAS economy/vendor mindset - A traditional approach to problem-solving by purchasing existing products.
  • Intern exercise - A thought experiment for problem-solving by imagining the capabilities of five hypothetical interns.
  • Blue sky thinking - A problem-solving approach without constraints of budget, people, or time.

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