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8 modules · 40 chapters
How to Build a Seven-Figure AI Sales Business
Build an AI sales business using positioning, delivery and measurable commercial systems.
The target outcome
A commercial plan, a repeatable acquisition system and a measurable operating model.
- ✓Define a market and differentiated offer
- ✓Build a credible sales and delivery process
- ✓Model unit economics and operating capacity
- ✓Develop a plan for sustainable growth
Prerequisites
- • Basic business literacy
- • A computer and internet access
- • Time for research, practice and execution
Public syllabus
Explore the 40-chapter curriculum
Explore eight focused modules covering the ideas, methods and decisions you will use to build your business.
Module 01 — Market selection
- 01The business model: outcomes versus software
- 02Identify a narrow, expensive operational problem
- 03Map ideal customer profiles and buying signals
- 04Evaluate market size without inflated assumptions
- 05Build a defensible positioning brief
Module 02 — Offer engineering
- 06Translate customer pain into a paid deliverable
- 07Define scope, exclusions and success metrics
- 08Design a minimal AI sales service package
- 09Estimate fulfilment costs and gross margin
- 10Write a clear commercial offer and guarantee policy
Module 03 — Prospect intelligence
- 11Recognize verified buying signals
- 12Find and qualify appropriate business accounts
- 13Build a compliant prospect research process
- 14Research operational workflows and existing tools
- 15Score accounts by fit, urgency and reachability
Module 04 — Outbound sales
- 16Write a personalized first-touch sequence
- 17Choose safe and compliant outreach channels
- 18Develop discovery questions that uncover real needs
- 19Handle objections without invented performance claims
- 20Record outcomes and plan evidence-based follow-ups
Module 05 — Demo and conversion
- 21Create a prospect-specific demo brief
- 22Demonstrate the customer outcome, not the stack
- 23Quantify operational value with transparent assumptions
- 24Structure proposals, pilots and acceptance criteria
- 25Turn a successful pilot into a signed agreement
Module 06 — Delivery operations
- 26Translate the contract into an implementation plan
- 27Map data sources, permissions and integration limits
- 28Test AI workflows with human escalation points
- 29Set up incident handling and customer support
- 30Document handover, ownership and change management
Module 07 — Business finance
- 31Model acquisition costs and payback period
- 32Forecast capacity, utilization and delivery margin
- 33Budget for tools, people and contingencies
- 34Build a revenue dashboard with verified inputs
- 35Set operational targets and review leading indicators
Module 08 — Scale responsibly
- 36Standardize repeatable components
- 37Create hiring and quality assurance thresholds
- 38Manage churn, renewals and customer success
- 39Build referral and partner distribution channels
- 40Draft a 90-day operating and growth roadmap
Turn learning into practical decisions
Follow a clear progression of topics and exercises designed to help you connect learning with real business decisions.
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