The reality of selling AI automations to businesses
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What you'll learn
Debunk AI Sales Myths: Understand why many agencies fail to close deals.
Outcome-Based Selling: Sell results, not tools, with criteria for ideal clients.
End-to-End Pipeline: Lead capture → discovery call → real-case demo → proposal/pricing → implementation with logs → ROI reporting.
Guardrails: Define scope, success criteria, maintenance/fixes, and data ownership.
本课程涵盖的技能
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Course description
This course explores the reality of selling AI automation solutions to businesses: clients pay for measurable results—leads, revenue, or time saved—not flashy “agents” or workflows. You’ll learn to avoid common pitfalls, such as targeting the wrong clients, giving vague demos, or neglecting KPIs. The course provides a clear framework: sell by outcome, standardize discovery to map client processes, run small proof-of-concepts with logs, and propose solutions with value-based pricing. During implementation, every task is tracked and converted into ROI metrics, with a structured schedule for ongoing optimization. By the end, you’ll have a lean sell–execute–measure playbook to close real deals and run one-person automation services while maintaining quality and control.
WHAT'S INCLUDED

