Show Notes
Parker lays out how he’s using AI to build an AI services business to fund a SaaS, sharing a practical playbook, niching ideas, and a content strategy you can reuse.
Strategy and planning core
- Using EOS (Entrepreneurial Operating System) cadence to stay on track: vision, goals, scorecard, and a plan.
- Primary aim: reach the first 10k/month in AI services revenue now; focus is on high-leverage, repeatable work.
- Treat content, sales, and delivery as a combined system—AI should drive every step.
Blueprint mindset: learning from the big players
- Study Accenture’s AI services playbook as a blueprint for what’s possible at scale.
- Break down what they did, then map it to your offerings and capabilities.
- Translate insights into your EOS-driven plan (three-year, ten-year views, purpose, etc.).
From strategy to action: turning plans into projects
- Feed your strategy into project management tooling to keep execution tight.
- Use a proven system you know well to stay disciplined and accountable.
- Goal: move from low-leverage, cash-bleed contracts to high-leverage, scalable revenue.
High-leverage AI services and AI builds
- Emphasize "AI builds" with Make.com and n8n to chain automations with high reusability (roughly 95% reusability in some workflows).
- Start with a clear automation prompt that converts a real business process into JSON/automation steps.
- Validate and codify these workflows into repeatable offerings.
Market reality: hype vs execution
- Many business owners overestimate AI without a concrete strategy; avoid vaporware.
- The opportunity sits at the intersection of coding, marketing/sales, and network-building.
- AI can boost outreach, research, and sales—but needs a solid plan and repeatable processes.
Niches and ideal customers (ICP)
- Target high-income, low-tech niches for faster impact.
- Examples discussed: real estate (high ticket, templates for listings and updates), interior design, architecture, HVAC.
- Core idea: deliver a simple, high-value automation (e.g., a website with automated updates and notifications) and scale with templates and add-ons.
Product ladder and pricing thinking
- Start with a clearly defined first offering (e.g., a one-time automation/service setup) and a predictable delivery time.
- Second offering should be faster to deliver (higher margin, more automation, less manual work).
- Third offering and beyond: expand into ongoing improvements, add-ons (lead gen, cold outreach), and updates.
- Example mindset: price around 5K for the first delivery; subsequent iterations drop time/cost as reusability increases.
- Emphasize reusability: early work is manual, later work becomes a repeatable system.
Lead generation and outreach tooling
- Use AI-assisted tools to speed up outreach and personalization.
- Tools mentioned: Clay.com (AI cells, icebreakers, social signals), Apollo (lead search/outreach).
- Automate prospect research and initial contact where it makes sense to accelerate deal flow.
Content strategy to fuel the funnel
- YouTube funnel: mix mass-audience content with newbie/how-to content and occasional niche AI content for developers.
- Example pillar: “Master ChatGPT basics in seven minutes” to draw in broad audiences, then funnel them toward higher-value offerings.
- Daily updates on your process help build credibility and accountability, while feeding the sales machine.
Practical build: what Parker is working on today
- Build a repeatable AI services engine that can fund a SAS with high gross margins.
- Focus on landing pages and templates that can be reused; aim for quick turnarounds and measurable business value.
- Plan to automate more of the sales lifecycle: lead gen, proposals, payment, and fulfillment (with tools like Stripe and project management systems like ClickUp).
Quick takeaways and next steps
- Start with manual builds to prove the model, then codify into reusable systems.
- Nail a simple, high-value niche (high ticket, low tech) to reduce complexity and speed up delivery.
- Use EOS to keep the vision aligned with execution, and keep the plan adaptable as AI capabilities evolve.
- Build a clear content strategy that complements sales efforts—your main channel plus daily updates create a feedback loop.
JSON prompt example (illustrative)
Use a prompt to convert a business process into an automation JSON you can implement:
json
{
"step": "lead_automation",
"process": [
{"action":"capture_lead","source":"web_form"},
{"action":"get_contact_info","fields":["name","company","role","email"]},
{"action":"create_task","assignee":"dev","due":"24h"},
{"action":"send_email","template":"kickoff"}
]
}
This is a starting point for turning a process you know into actionable automation.
Links
- EOS (Entrepreneurial Operating System)
- Accenture AI services blueprint (reference for strategy and scale)
- Make.com – AI builds and automations
- n8n – automation workflows
- Clay.com – AI cells for outreach and research
- Apollo – outbound sales and lead generation
- Parker Rex School – free for the first 10 members (join before it shifts to paid)