Foundation & vision
Why 95% of GenAI programs stall, and how energy leaders set outcomes before picking models.
For energy executives · Oil & gas · Utilities · Renewables
The executive playbook for moving energy companies from AI pilots to enterprise results — with use-case scoring, architecture choices, and trusted governance.
Free hardcover in the USA ($9.99 shipping). Or buy immediately on Amazon — print and Kindle, including international.
Hardcover in the USA, or Amazon worldwide. Executive templates included.
Use the 6-dimension GAP Analyzer and download a PDF for your leadership team.
Book a free 30-minute review and leave with a 6-week pilot plan.
Just Pay $9.99 Shipping (USA Only)
Transform your organization's GenAI strategy with proven frameworks used by energy sector leaders. Get the physical book delivered to your door.
"This book provides the clarity energy executives need to move from AI experimentation to transformation. A must-read for anyone serious about GenAI strategy."
— Energy Sector Executive
In an industry where the stakes are immense and trust is the ultimate currency, inaction is not an option. This guide provides a clear framework to turn your organization's data into its most powerful asset.
Master a framework to identify and prioritize initiatives that drive immediate ROI, moving beyond endless pilots.
Confidently decide when to build, buy, or extend AI capabilities with a clear decision framework designed for energy leaders.
Establish robust ethical guardrails for high-stakes operations, turning safety and reliability into a competitive advantage.
What you will actually use
Seven parts that take a leadership team from “we should do AI” to a funded pilot, a governance model, and a scale path.
Why 95% of GenAI programs stall, and how energy leaders set outcomes before picking models.
Score initiatives on impact, feasibility, and data readiness so the board sees a ranked backlog — not a wishlist.
A 6-week pilot motion, then the people, platform, and change work required to industrialize winners.
When to use RAG, fine-tuning, Text-to-SQL, agents, or a blended stack — in energy language, not vendor slides.
Safety, reliability, and governance for high-stakes operations — including when not to use generative AI.
Seismic interpretation, well planning, midstream ops, refining, retail, and grid / customer operations.
Written for operators, not AI labs. Use it in an ELT offsite, a capital committee, or a 90-day transformation sprint.
A decision framework for investment, ROI, and competitive timing.
Build vs. buy, architecture, and how to keep pilots from becoming shadow IT.
Workflows, adoption plans, and the change work that actually moves KPIs.
Guardrails for privacy, safety, and auditability in regulated environments.
Accelerate your strategy sessions with these ready-to-use Google Doc templates based on the frameworks in the book. Click to view the document.
Systematically score and rank potential AI initiatives based on business impact, feasibility, and strategic alignment using a weighted decision framework.
Get TemplateEvaluate whether to build, buy, or extend AI capabilities by comparing options against critical factors like cost, speed, data control, and competitive differentiation.
Get TemplateEnsure responsible AI deployment with this checklist covering key principles like transparency, fairness, accountability, security, and privacy.
Get TemplateObjectively score and compare potential AI vendors on technology, security, support, cost, and viability to select the right long-term partner.
Get TemplateScore each dimension from 1 (nascent) to 5 (pioneering). You will get tailored recommendations and a PDF you can take into your next leadership meeting — no account required.
Practical templates and prompts to turn strategy into action.
Use this with your favorite LLM to turn the templates into a plan:
You are an enterprise GenAI strategist. Using the attached one‑pager and pilot charter, do the following: 1) Validate the value hypothesis and call out assumptions. 2) Propose the best model approach (RAG, fine‑tune, or blended) with reasons. 3) List the top 5 risks and the controls to mitigate each. 4) Draft a 6‑week pilot plan with weekly milestones and KPIs. 5) Suggest a scale plan if KPIs are met, noting governance and platform needs.
Have your leaders read the book, complete the GAP analysis, then use this complimentary call to review your results and prioritize your AI initiatives with an expert.
Use the live scheduler to book your session directly.
Prefer to email pre-reads or have questions? info@aienergyleaders.com
"Within 90 days we cleared operational debt and accelerated roadmap delivery by 20%. The gap analysis made trade-offs obvious."— COO, SaaS scale-up
"Practical, no jargon. We aligned on priorities and reduced meetings by 30% with a tighter cadence."— VP Operations, Global Oil & Gas Company
"Best executive guide I've read in years. Immediate ROI."— CEO, petroleum services company startup
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Shipping, who the book is for, and how the tools work.
Yes. The book is free. You pay $9.99 shipping within the USA. No subscription and no recurring charge.
Energy executives, CTOs, innovation leaders, and operators in oil & gas, utilities, and renewables who need a practical GenAI strategy — not another hype briefing.
200+ pages covering 14+ energy use cases, use-case prioritization, build vs. buy, RAG vs. fine-tune vs. agents, trusted AI governance, and a pilot-to-scale roadmap.
Orders are processed in 2–3 business days. USPS typically takes 7–14 days in the USA. Tracking is emailed when it ships.
The $9.99 hardcover offer is USA only. International readers can order on Amazon.
Yes. Checkout runs on Stripe. We never see or store your card number.
Executive templates, the GAP Analyzer, a starter LLM prompt, and a free 30-minute consultation to review your scores.
Yes. Email info@aienergyleaders.com for bulk pricing and multiple ship-to addresses.