Udemy
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI Sales Enablement and Operations Masterclass
New
67 students

AI Sales Enablement and Operations Masterclass

Use AI for buyer intelligence, qualification, account planning, pipeline discipline, forecasting, and coaching
Created byDr. Law Payne
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Map an AI-assisted revenue workflow across buyer research, qualification, outreach, and follow-up.
  • Build account plans and relevant sales messages using evidence and human review.
  • Inspect pipeline health, forecast assumptions, and seller coaching opportunities.
  • Measure revenue impact and establish governance for responsible sales automation.

Explore related topics

Course content

2 sections • 15 lectures • 1h 47m total length

  • The AI-Assisted Revenue Operating System10:22

    This lecture explains revenue outcomes, funnel architecture, data quality, aI work allocation, human accountability. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Buyer Intelligence Qualification and Account Planning10:20

    This lecture explains ideal customer profile, buying committee, research brief, qualification evidence, account strategy. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Messaging Outreach and Seller Enablement10:20

    This lecture explains value hypothesis, message relevance, objection intelligence, content support, seller workflow. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Pipeline Inspection Forecasting and Coaching10:12

    This lecture explains stage evidence, deal risk, forecast scenarios, coaching signals, decision cadence. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Revenue Measurement Governance and Scale10:03

    This lecture explains conversion economics, activity quality, privacy, tool governance, implementation roadmap. Students apply the ideas to a realistic business decision, examine common failure modes, and complete a practical exercise they can use immediately.

  • Audit a Buyer Brief Against Source Evidence6:03

    Audit a buyer brief against its sources and distinguish observed events from commercial interpretations. Examine why more meetings with unchanged qualified opportunities does not isolate the research assistant’s effect, and why hiring does not establish budget or buying readiness. Complete the accompanying worked case and application exercise.

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.


AI Sales Enablement and Revenue Operations Masterclass gives professionals a structured system to build an AI-assisted revenue system that improves seller preparation, pipeline quality, coaching, and forecast decisions.


The course is designed for sales leaders, account executives, revenue operations teams, consultants, founders, and B2B marketers. 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 a B2B company generating plenty of activity but missing targets because qualification is inconsistent, account research is shallow, and pipeline data cannot support confident decisions. 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:

  • Sales leaders, account executives, operations teams, consultants, founders, and B2B marketers.
  • 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.

Report abuse