AI for Executives

Most executives face the same three AI challenges: (1) they don't know where their organization sits on the AI maturity curve, (2) they can't calculate the actual ROI of AI adoption, and (3) they don't know what to automate first. Peter Saddington has built tools to solve all three — based on his experience transforming organizations, not theoretical frameworks from consultancies that have never shipped a product.

Peter has led a 12,000-person business unit through transformation, trained at Fortune 500 companies (Amazon, Microsoft, Dell, Cisco, T-Mobile, Capital One), the US Department of Defense, and deployed $33M+ into startups through StaaS Fund. He's been a fractional COO and CMO for companies at every stage — and he builds production AI systems every day.

AI Readiness Quiz

A 10-question assessment mapped to Peter's 4-Stage AI Capability Framework: Prompt Craft, Context Engineering, Intent Engineering, and Specification Engineering. Answer honestly and get your organization's current AI maturity stage with a specific roadmap for progression. Takes 5 minutes. Available at staas.fund/ai-maturity.

AI ROI Calculator

Add your team's weekly tasks — document drafting, email responses, data entry, report generation, meeting notes — and see the concrete hours and dollars AI could save. Not theoretical projections, but estimates based on real productivity data from organizations that have adopted AI tools.

AI Maturity Scorecard

Rate your organization across 5 dimensions and get an instant maturity stage. The scorecard maps where you are today and what investments will move you to the next level. Most organizations discover they're further behind than they thought — and further ahead than they feared.

Capability Explorer

48 AI use cases across 6 departments with copy-ready prompts. Browse by department (Sales, Marketing, Engineering, Operations, Finance, HR) to see specific, actionable AI applications your teams can start using today.

Decision Matrix

What to automate first, ranked by impact and complexity. Not everything should be automated — and not everything should be automated at once. The decision matrix helps you sequence your AI investments for maximum return with minimum disruption.

Each stage builds on the previous. You can't skip to Stage 4 without foundations in Stages 1-3. The framework provides a clear, measurable progression path with specific milestones at each stage. Most organizations are at Stage 1 — and that's fine. What matters is having a roadmap to Stage 4 and executing against it methodically.

The V-Shaped Model for Startups

Peter's proprietary framework for startup building. How to take a company from idea to product-market fit to scale, with AI accelerating every stage. Developed through 1 exit, 5 equity buyouts, and $33M+ deployed into portfolio companies since 2014.

The Venture Media Model for VCs

How venture capital funds can use media as a competitive advantage. Peter's approach — 3B+ lifetime views, 5M+ monthly social reach, 100k+ newsletter subscribers — isn't just content marketing. It's a deal flow engine, a portfolio support system, and a brand moat. This model is now being enhanced with AI-driven content pipelines.

The Agentic Operating System (AOS)

Peter's concept for treating AI not as a tool but as an operating layer for your business. Just as every company needed a website (1990s), then mobile (2010s), then cloud (2015s), every company now needs an agentic layer — AI agents integrated into core business processes, not bolted on as an afterthought.