Ai For Executives A Hype-Free Playbook For Leaders

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Ai For Executives: A Hype-Free Playbook For Leaders
Last updated 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 15m | Size: 4.93 GB
Evaluate, select, and roll out AI without burning budget or breaking your team's trust. No hype, no buzzwords.
What you'll learn
Explain how large language models actually generate text, why they hallucinate, and why a confident answer is not a correct one
Spot the three hidden costs of unmanaged AI rollouts: untrained employees, the verification tax, and quiet abandonment
Identify where AI delivers real ROI by redesigning entire processes instead of shaving minutes off individual tasks
Apply a repeatable filter to evaluate any AI use case using decision type, reversibility, and where human approval belongs
Separate high-value AI workflows (routing, internal knowledge access, anomaly detection) from high-risk ones that need a human in the loop
Assess your organization's AI readiness across five areas: skills, process maturity, data and infrastructure, culture, and governance
Decide what data should never touch a public AI tool and how to give your team a single safe "front door" instead of dozens of side doors
Requirements
No technical background needed. If you can describe how work gets done at your company, you're ready
Description
This course contains the use of artificial intelligence. I mean, it is about AI.
Most AI initiatives don't fail because the technology is bad. They fail because leadership misunderstands what they just introduced into the organization.
Someone on your team is already using AI. No kickoff meeting, no policy, no training. A rep pastes a customer question into a chatbot, the answer sounds confident, and it goes out the door. Sometimes it's right. Sometimes it quietly costs you a customer's trust. That's how most companies cross the line from "productivity tool" to "part of an operational system" by accident.
This course is for the people who have to make the call on AI and own the outcome. It walks through one realistic company, Meridian Supply Co., a 280-person industrial distributor with legacy systems, thin margins, and real compliance risk. If you work in SaaS, healthcare, financial services, or manufacturing, Meridian's problems will feel familiar. The specifics change. The patterns don't.
You'll learn how these tools actually work beneath the surface, why a confident answer can still be wrong, and where the real ROI hides. Here's the part most vendors won't tell you: shaving minutes off emails almost never justifies the cost and risk. The money shows up when you rebuild entire processes, not when you speed up individual tasks.
By the end you'll have a repeatable method for spotting good AI use cases, filtering out the ones that look attractive but fail in practice, and assessing whether your organization is actually ready before you scale anything.
What makes this different
No slide decks full of buzzwords. No promises that AI will 10x your team overnight. Just a grounded, practitioner's view of what works, what fails, and how serious organizations manage the risk.
Who's teaching this
You'll learn from two people who do this work for a living, not consultants selling a framework they've never shipped.
Brian Jenney has spent 12+ years as a software engineer and engineering manager across startups and Fortune 500 companies, and runs an engineering education program. He uses AI every day in production work, which is exactly why he pushes back on the inflated claims.
Ben Johnson is the founder of Lobi Software Studio, where he builds custom software and AI integrations for small businesses and domain experts. He spends his days shipping real AI workflows into non-technical companies, the exact situations this course prepares you for. He brings the builder's view of what actually survives contact with a real business.
Together you get the educator's clarity and the builder's hard-won lessons.
Enroll now and stop reacting to AI hype. Start making deliberate, informed decisions.
In full disclosure, and in line with the program, AI was used to create many of the images in the course but real humans with actual experience teach all of it.
Who this course is for
Operations leaders, managers, and executives under pressure to "do something with AI" who want a grounded way to decide what's worth it
Team leads who've seen AI tools show up informally and need a framework to bring order without killing adoption
Anyone responsible for AI outcomes who wants to avoid the most common failure pattern: untrained rollout that erodes trust

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