Five AI Solutions That Agencies Are Actually Selling for $20,000 Right Now
Real AI agency owners share the exact solutions they are selling to clients for $20K each, from internal knowledge retrieval to full process automation.
The Strategy
The AI agency space is flooded with theory and hype but short on real examples of what is actually being sold and at what price point. This breakdown features five AI entrepreneurs who share the specific solutions they have built and sold to clients, each commanding around $20,000 in deal value. The first solution highlighted is an AI powered internal knowledge retrieval system designed specifically for manufacturers. Built by Patrick Byrne, it runs on Azure and integrates with Microsoft Teams so factory workers and engineers can instantly find answers buried across company documents, SOPs, and training materials. The system is priced at $19,600 per year as a recurring license, which means each client generates ongoing revenue rather than a one time payment. Liam Ottley showcases additional solutions spanning chatbot development, voice AI agents, and business process automation. Each entrepreneur featured explains their specific niche, the technical platform they built on, how they found their first clients, and what pricing structure they use. The common thread across all five is that they solve narrow, high value problems for specific industries rather than offering generic AI consulting. The video serves as a practical blueprint for choosing which type of AI solution to build and sell. Rather than guessing what businesses want, agency builders can study what is already generating $20K deals and model their offering accordingly.
How It Works
Choose a specific industry vertical where you have expertise or access to potential clients. Manufacturing, professional services, and healthcare are proven markets.
Identify a high value internal problem that companies solve poorly with manual processes. Knowledge retrieval, document search, and employee onboarding are strong starting points.
Build the solution on enterprise grade platforms like Azure or AWS that the client's IT team will trust and approve.
Integrate with tools the client already uses daily. Microsoft Teams, Slack, or existing CRM systems reduce adoption friction.
Structure pricing as an annual recurring license rather than a one time project fee. Target $15,000 to $20,000 per year per client for maximum lifetime value.
Package the solution as a productized service with clear deliverables, timelines, and outcomes rather than selling hours of AI consulting.
Build case studies from your first two to three clients and use those to sell the next ten. Proof of results in the same industry is the strongest sales tool.
Use AI agent frameworks and no code platforms to reduce build time while maintaining quality.
Focus on solutions that require ongoing maintenance, updates, or data refreshes so the client needs you month after month.
Target mid market companies with 50 to 500 employees. They have enough budget to pay $20K and enough operational complexity to need AI solutions.
Results
Multiple AI agency owners independently selling solutions at $15,000 to $20,000 per deal. Knowledge retrieval system priced at $19,600 per year recurring. Solutions span manufacturing, professional services, and general business operations. Each agency owner featured is generating consistent deal flow in their chosen niche.
Our Take
We think the value of this breakdown is in the pricing validation. Most new AI agency owners underprice because they have no reference point for what the market will bear. Seeing five independent operators consistently closing $20K deals provides the confidence to price accordingly. The manufacturing knowledge retrieval system is particularly interesting because it targets an industry where AI adoption is low but the pain of lost institutional knowledge is enormous. Best suited for AI agency builders who want to see what real deals look like before choosing their niche and pricing model.
Related Strategies
More AI agent strategies you might find useful
SaaStr Replaced a 10 Person Sales Team With 20 AI Agents and 1.2 Humans
A sales team of 10 SDRs and AEs was replaced by 20 AI agents managed by 1.2 huma…
Learning to Code With AI and Building a $28K Per Month SaaS Portfolio
A non developer learned to code using AI tools and built a portfolio of SaaS pro…
How a $40K MRR SaaS Growth Playbook Uses Claude Code and Google Search
A SaaS playbook combining Claude Code for development and Google Search for dist…
Want more strategies like this?
Get weekly AI agent case studies in your inbox.