Course · AI Consulting

What an AI Consulting Engagement Actually Looks Like

Lindsay Gonzales AI Consultant

8 chapters · 1h 12m · Beginner

About this course

Turn business problems into paid AI consulting projects with practical discovery, clear scoping, and a repeatable path from client conversations to delivery.

What you'll learn

6 outcomes

Spot Paid AI Opportunities

Identify repetitive, costly workflows in familiar industries and frame them as business outcomes instead of tool demos.

Warm Outreach

Use specific warm-introduction asks to reach service business owners without relying on cold outreach or a portfolio.

Outcome Discovery

Ask outcome-based questions that reveal pain, current processes, constraints, workarounds, stakes, and revenue levers.

AI-Assisted Pilot Design

Prompt an AI assistant with messy discovery notes, request clarifying questions, and refine recommendations into a simple paid pilot.

Reliable Workflow Deployment

Specify, test, host, and monitor always-on automations with clear inputs, success criteria, edge cases, and failure handling.

Impact-Based Pricing

Estimate upside from booking, show, close, volume, and ticket metrics to price upfront builds and ongoing support.

Course curriculum

1 part · 8 chapters

Your instructor

Lindsay Gonzales AI Consultant

Lindsay Gonzales builds practical AI automation for growing companies, the kind that takes high-volume manual work off a team's plate and keeps running after she leaves. A former teacher and a six-year BlackRock veteran, she now runs Automate AI Consulting, leads a community of 3,000+ people implementing AI in real businesses, and publishes practical AI content to 22,000+ on YouTube. She's based in Fresno, California.