Sales teams and revenue leaders

Generative AI for B2B sales

Apply generative AI to account research, outreach, discovery, and follow-up without losing judgment or trust.

PT1H30M · Beginner

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What you will learn

  • Research accounts with traceable sources.
  • Draft relevant outreach without fabricated personalization.
  • Prepare discovery questions and useful follow-up faster.

Course outline

01

Research with evidence

Separate verified account facts from assumptions.

02

Create useful outreach

Write focused messages anchored to a credible business trigger.

03

Support the sales conversation

Prepare discovery, objections, and next steps with human review.

OPEN LESSON

Open lesson: Research with evidence

Before automating a task, define the result you need and the evidence that would make it trustworthy. In this course, the goal is: Build a repeatable, reviewable AI-assisted sales workflow for one real account. AI can accelerate a draft, comparison, or exploration, but it does not know your policies, full context, or the cost of being wrong. Begin with a low-risk case and keep the earlier version so you can compare, explain, and reverse the decision.

  1. Define the deliverable and an observable quality criterion: Research accounts with traceable sources.
  2. Set context, allowed data, and human review before generating: Draft relevant outreach without fabricated personalization.
  3. Check the output and document the final decision: Prepare discovery questions and useful follow-up faster.
Responsible authorVidAcademia Editorial Team
ReviewVidAcademia Learning Quality
MethodOutcome-first design, primary-source review, guided practice, and a human-verified final decision.

SOURCES AND EVIDENCE

Learn with references you can verify.

We select official sources and explain what each supports.

NIST · 2023

AI Risk Management Framework 1.0

The voluntary framework treats valid, reliable, transparent, and privacy-enhanced behavior as connected trustworthiness characteristics.

Content reviewed: