Learn how to build and sell AI automation services with Nate Herk’s AIS Live. Explore AI projects, no-code tools, pricing, outreach, delivery, and retainers.

Discover Which AI Projects Businesses Actually Pay For

Have you spent months watching AI tutorials but still don’t know what to build, who to sell it to, or how much to charge?

Learning another tool will not automatically create an AI automation business. You also need to understand which problems companies will pay to solve, how to package the solution, how to reach buyers, and how to deliver a professional system.

AIS Live by Nate Herk and the AI Automation Society is a two-day virtual workshop built around real AI projects, active practitioners, client-acquisition systems, pricing, and service delivery.

Day One focuses on identifying and building billable AI solutions. Day Two connects those skills to niche selection, positioning, outreach, discovery calls, pricing, fulfillment, and recurring retainers.

The July 11–12, 2026 live event has ended and official registration is closed.

Benefits & Outcomes

✅ Identify AI projects businesses are purchasing in 2026

✅ Choose suitable services without becoming an expert programmer

✅ Understand the difference between demos and production systems

✅ Compare n8n, Claude Code, Make, and GoHighLevel

✅ Build an AI automation tied to a business use case

✅ Study a working AI content engine

✅ Explore voice AI systems that qualify or book prospects

✅ Select industries with active demand for AI services

✅ Build a portfolio project to demonstrate your abilities

✅ Position an AI service around business value

✅ Find and approach potential clients

✅ Conduct more effective discovery calls

✅ Price AI projects with clearer commercial logic

✅ Deliver systems professionally

✅ Convert suitable projects into ongoing retainers

Day One: Build

Session 1: What Businesses Are Paying For in 2026

• Examine current AI automation opportunities
• Understand which projects have clear commercial value
• Separate useful business systems from novelty demos
• Identify problems suitable for automation
• Evaluate projects using complexity, impact, and buyer demand

Session 2: Your First 30 Days in AI Automation

• Move from content consumption to implementation
• Choose a practical niche and initial service
• Select one portfolio project
• Build a clear learning and execution sequence
• Avoid trying to master every AI platform at once

Session 3: From AI Wrappers to Production Systems

• Understand what makes an AI solution client-ready
• Connect AI models with business data and workflows
• Add human review where appropriate
• Plan for reliability and error handling
• Document how the system operates
• Prepare a project for real organizational use

Session 4: The AI Automation Tool War

Compare popular platforms based on the work they can perform and the services they can support.

• n8n for visual automation and AI workflows
• Claude Code for agentic development and custom systems
• Make for connecting apps and automating processes
• GoHighLevel for marketing and client-management workflows
• Select tools based on the project instead of online hype

Session 5: Live AI Content Engine Build

• Map a complete content workflow
• Collect and organize source information
• Generate ideas and drafts with AI
• Add approval and quality-control stages
• Connect creation with publishing or delivery
• Adapt the engine to a client’s niche

Session 6: Live Voice AI Build

• Understand common voice-agent use cases
• Design a conversational call flow
• Qualify prospects through voice interactions
• Connect calls with calendars and business systems
• Build appropriate escalation and human-handoff rules
• Explore voice as an emerging user interface

Session 7: Building With Claude in 2026

• Explore practical Claude-based business workflows
• Understand agents, skills, and contextual instructions
• Use Claude to support research and operations
• Examine where Claude Cowork and agentic tools may fit
• Build with the needs of the business in mind

Session 8: Community Project Spotlights

• Study projects created by AIS members
• Understand how beginners moved into implementation
• Review the decisions behind working builds
• Learn from challenges and early client experiences
• Identify ideas that can be adapted to your own market

Day Two: Earn

Session 1: Selecting a Profitable AI Service

• Match business problems with appropriate AI solutions
• Choose services that can be explained clearly
• Evaluate whether buyers have sufficient urgency and budget
• Avoid vague “AI transformation” offers
• Focus on a measurable result or operational improvement

Session 2: Niche and Market Selection

• Identify industries with repetitive, expensive processes
• Look for problems affecting revenue, cost, or speed
• Research how companies currently handle the task
• Select a market you can understand and reach
• Build a niche-specific service proposition

Session 3: Positioning Your AI Offer

• Explain the outcome instead of leading with technical jargon
• Connect the automation to business value
• Define project scope and deliverables
• Differentiate your service from generic automation work
• Make the offer easier for a prospect to understand

Session 4: Client Outreach

• Identify suitable businesses and decision-makers
• Build a focused prospect list
• Personalize outreach around relevant business problems
• Use project examples to establish credibility
• Move interested prospects toward a discovery call
• Create a repeatable follow-up process

Session 5: The AI Discovery Call

• Understand the company’s current workflow
• Identify time, cost, quality, and capacity problems
• Determine whether automation is appropriate
• Clarify required tools, data, and access
• Establish decision criteria and next steps
• Avoid proposing a solution before diagnosing the problem

Session 6: AI Project Pricing

• Price according to scope, complexity, and business impact
• Estimate build, testing, and support requirements
• Distinguish setup fees from ongoing charges
• Present pricing with clear deliverables
• Protect projects from uncontrolled scope expansion

Session 7: Proposal and Closing

• Summarize the diagnosed business problem
• Present the recommended system clearly
• Define responsibilities and implementation stages
• Address security, access, and reliability concerns
• Agree on payment, timeline, and next steps

Session 8: Client Delivery

• Gather requirements and business documentation
• Build and test the automation
• Create review and approval checkpoints
• Train the client on the completed system
• Document workflows and troubleshooting
• Establish a clear handover process

Session 9: Retainers and Recurring Revenue

• Identify systems requiring ongoing monitoring
• Offer maintenance, optimization, or support
• Track performance after implementation
• Expand working solutions into related workflows
• Build longer-term client relationships where appropriate

What’s Included in the Workshop?

Two-Day Virtual Training

A focused Build Day and Earn Day connecting AI implementation with the business system required to sell it.

Real AI Project Demonstrations

Study practical builds such as an AI content engine and a voice AI system designed around client applications.

AI Agency Frameworks

Learn the connected process from niche and project selection through outreach, pricing, delivery, and retainers.

Tool Comparisons

Understand where platforms such as n8n, Claude Code, Make, and GoHighLevel may fit into a service business.

Practitioner Case Studies

Examine projects, pricing decisions, client engagements, and lessons from people delivering AI solutions.

Session Recordings

The original event offered recordings, although the exact access duration depended on the purchased ticket level.

Who Is AIS Live For?

• Beginners learning how to monetize AI skills
• Automation freelancers seeking their first clients
• Developers moving into AI consulting
• Agency owners adding AI services
• Corporate professionals planning a career transition
• Business owners investigating automation opportunities
• Consultants seeking productized AI offers
• No-code builders ready to work on real projects

Move From Watching AI Tutorials to Delivering Paid Solutions

Successful AI service providers do not need to be the world’s best programmers. They need to identify valuable problems, select appropriate tools, communicate business outcomes, and deliver systems clients can rely on.

AIS Live connects the technical and commercial sides of that process—what to build, who may buy it, how to position it, how to price it, and how to deliver it.

Any project values, client results, or revenue examples presented during the event are educational case studies, not guaranteed outcomes. Results depend on your skills, market, offer, outreach, pricing, and execution.