The AI training built for product leaders who have to answer one question: is this worth it?
Designed for product professionals, this 60-minute, self-paced course equips you with the tools to validate whether AI initiatives are truly worth pursuing. Through hands-on exercises, you will map out an actionable AI landscape and craft a concise, executive-ready summary to guide decision-making.
The Real Economic Challenge of AI
Being proficient with AI isn’t the real challenge.
The real hurdle comes during executive reviews when you’re asked to prove the financial return of your AI initiatives, but all you can offer are vague impressions: it seems faster, sentiment is positive, and no one has raised issues.
Consider the unexamined economics: a drafting tool priced at 4.3 cents per generation seems trivial, until you account strictly for usable outputs, driving the true cost up to 11.4 cents. If your organization purchased 50 licenses but only twelve team members logged in over three months, your effective cost per user quadruples. Furthermore, a lack of negative feedback is merely an absence of evaluation, not a standard for quality.
This isn’t a technology issue; it stems from a lack of ownership around ROI, leaving critical value questions unasked — and any estimated answer off by orders of magnitude.
What you’ll learn
By the end of Maximizing the Value of AI for Product Work you’ll be able to:
Map your actual AI inventory.
Catalog models, tooling, data, infrastructure, and skills across five key dimensions. Uncover existing capabilities you are already paying for but haven’t enabled, and identify unwritten governance gaps.
Establish clear permission boundaries.
Assign every asset to one of five permission stances and craft a concise AI-Safe Zone guideline that team members can digest in under sixty seconds. Position governance as an operational enabler rather than a barrier.
Measure cost per successful output.
Divide total expenditure strictly by outputs that meet quality benchmarks. Highlight hidden inefficiencies — such as overpaying for premium models when basic tools suffice, or relying on uncritical evaluation bars.
Deliver and defend evidence-backed verdicts.
Separate raw quantitative data from qualitative evaluation. Practice critiquing flawed assessments prior to revealing rationale to build defensible business judgments.
Structure executive decision rollups.
Determine whether to scale, hold, or decommission initiatives. Synthesize key findings into a single, high-impact paragraph tailored for leadership reviews.
Who should take this course
You are responsible for evaluating whether AI initiatives deliver real value.
You prefer definitive answers over subjective impressions.
You manage product teams using diverse AI tools and criteria.
You need a unified framework and terminology ahead of the next planning cycle.
You want prompt engineering tutorials or an overview of emerging tools.
This curriculum assumes basic proficiency and builds beyond tool mechanics.
How the course works
Enroll to get instant access at $149.
Start on your own schedule — no cohort, no deadlines, no time pressure.
Complete the course.
Four structured lessons totaling approximately 60 minutes, with over half the time spent on interactive exercises. Within the first three minutes, select your operational baseline: your own organization or Meridian Freight — a mid-sized logistics firm navigating two core products, eight AI assets, and typical organizational friction. Step by step across each module, you will construct the AI Value Ledger by analyzing each AI asset across four defined dimensions. You will systematically map your inventory, establish governance stances, and evaluate true expenditures against defined quality thresholds to observe real-time value shifts.
Apply it Monday morning.
Upon finishing, you will hold a completed AI Value Ledger and its corresponding rollup, fully prepared for implementation across your own AI strategy. Your immediate next step is to select a single active capability and complete an authentic assessment for it within 48 hours. Establishing this initial entry forms the foundational routine for scalable practice.
AI product fluency is the new professional standard
In an era of frictionless creation, true value lies in discerning what genuinely merits development.
As building with AI became inexpensive, adoption skyrocketed while rigorous evaluation lagged behind. Consequently, AI expenditures expand continuously while performance assessment remains largely subjective — making professionals who deliver concrete metrics indispensable.
Data absent critical insight yields only static figures; intuition lacking empirical foundation relies on conjecture. This program bridges both essential disciplines.
