SEAS for students, professors, researchers and business schools

The real system, not a teaching edition

Students, professors and researchers can access the complete SEAS suite at 80% off the $2,997 price, an effective price of about $599. This is deliberate: if you are learning private equity value creation or agentic AI, the real system teaches more than a watered-down version would. Everything below is what a paying operator receives.

• The 309-page SEAS Master Playbook: the six-phase architecture and the core operating system.
• RAPID SEAS: the daily execution manual with the 12-week toolkit.
• 35 build-ready agent specifications with production prompts: 9 cross-functional and 26 industry-specific agents across 13 sectors.
• Nine live Excel workbooks (ROI, MOIC, EBITDA, budget, vendor matrix, Gantt, data fitness) holding 1,711 formulas.
• EBITDA PathFinder Pro v3.0: a seven-module diagnostic that runs offline on Macintosh or PC.
• The Templates Library: investment committee memo, LP update, CEO briefing, AI scorecard, and board and fund-level decks.
• The Project Manager's Runbook with a 29-milestone Gantt, the 90-day pilot playbook and the agent deployment tracker.
• Governance appendices mapped to NIST AI RMF, ISO 42001, SOC 2, SOX, GDPR, CCPA and the EU AI Act.
• The FLOAT diagnostic system, the ERP data export guide, the vendor landscape matrix, sample datasets and a worked diagnostic.
• 90 days of direct email support from the author, with a reply within two business days.

How to claim the academic price

Email your student, faculty or researcher identification to [email protected] to receive a discount code, then use the code at checkout. Non-profit organisations and buyers in emerging markets can email the same address for a region-based or role-based code.

Business schools, executive-education programs, corporate learning teams and certification bodies that want to license SEAS for a cohort or a course should email the same address; institutional licensing is arranged case by case.

What is in it for teaching and research

• A worked case sized from the public filings of a real mid-market manufacturer, with the company anonymised, showing a $6M to $10M annual EBITDA opportunity surface and the method that produced it.
• A reference financial model for a $150M-revenue, $18M-EBITDA company, with approximately $5.3M of modeled recoverable EBITDA, live in the workbooks so every assumption can be changed and traced.
• 35 agent specifications with production prompts, covering data inputs, decision logic, outputs, KPIs and guardrails, which double as a reference architecture for agentic AI in finance and operations.
• Governance appendices mapping an AI program to NIST AI RMF, ISO 42001, SOC 2, SOX, GDPR, CCPA and the EU AI Act.
• Six evidence essays, each with its sources, on why most agentic AI initiatives fail to move EBITDA, how much a mid-market company can realistically recover, where leakage hides, agentic AI against RPA, how a CFO should sequence a deployment, and how to defend AI impact to a board.

Possible uses include capstone and consulting-practicum projects, case discussions on build-versus-buy decisions, and research on how mid-market companies adopt agentic AI. The gated method (baseline, pilot, week-8 gate, week-24 gate) also gives a structure for evaluating any AI program, not only one built on SEAS.

Free material you can use today

The FLOAT diagnostic is a free PDF. The fourteen guides and analyses are free to read and cite. The worked case and the preview documents linked from the look inside section of the main page are also free.

Frequently asked questions