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Build an AI Consulting Business: Offers and Delivery
New
40 students

Build an AI Consulting Business: Offers and Delivery

Choose a niche, diagnose AI opportunities, create valuable offers, price engagements, deliver results, and earn trust
Created byDr. Law Payne
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Choose a consulting niche and define an AI service offer around a specific client problem.
  • Run an AI opportunity audit covering process value, data readiness, risks, and priorities.
  • Scope and price engagements with clear deliverables, success criteria, and client safeguards.
  • Manage discovery, proposals, implementation, proof of value, and repeatable client delivery.

Course content

3 sections • 16 lectures • 1h 48m total length

  • Position the AI Consulting Practice10:39

    This lecture explains market focus, client problem, credibility assets, ethical claims, service boundary. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Run an AI Opportunity and Risk Audit10:32

    This lecture explains process discovery, value potential, data readiness, risk assessment, priority matrix. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Design Offers Scope and Pricing10:33

    This lecture explains deliverable design, engagement stages, scope control, pricing logic, success criteria. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Sell and Deliver the Client Engagement10:21

    This lecture explains discovery conversation, proposal, stakeholder alignment, implementation cadence, proof of value. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Build Authority Retention and Responsible Scale10:14

    This lecture explains case evidence, thought leadership, renewals, delivery systems, growth roadmap. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

Requirements

  • No coding experience is required.
  • A willingness to apply the frameworks to a real or realistic business situation.
  • Access to common productivity software is helpful but not required.

Description

This course contains the use of artificial intelligence.


Build an AI Consulting Business: Offers and Delivery gives professionals a structured system to turn AI knowledge into a credible consulting offer with disciplined diagnosis, delivery, evidence, and client safeguards.


The course is designed for consultants, coaches, agency owners, executives, analysts, educators, and professionals launching an AI advisory practice. It moves beyond disconnected tips and tool demonstrations. Students learn how to define the business decision, organize evidence, design a practical workflow, evaluate quality, preserve human accountability, and connect activity to measurable results.


The continuing case follows an experienced business professional who understands AI tools but lacks a focused market, diagnostic method, clear offer, delivery process, and proof of value. Every lecture includes a management framework, application guidance, quality controls, and an assignment learners can use in an organization, client engagement, career, or business.


Dr. Law Payne combines doctoral-level leadership education with substantial entrepreneurial, marketing, and teaching experience. He holds a Doctor of Business Administration specializing in Organizational Leadership and Development, a master’s degree in Educational Psychology, a master’s degree in Business, and a bachelor’s degree in Business Administration and Marketing. His professional experience includes nine-figure entrepreneurship, published work reaching more than one million copies, and growth leadership involving more than one billion dollars in managed sales.

Who this course is for:

  • Consultants, coaches, agency owners, executives, analysts, educators, and professionals launching an AI advisory practice.
  • Professionals who want business value and responsible implementation rather than surface-level hype.
  • Professionals who want a structured, evidence-based approach instead of disconnected tips or tool demonstrations.
  • Leaders and learners who want to preserve human accountability while using artificial intelligence.

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