AI Strategy from the Inventor of 20+ AI Patents
The AI Strategy Advisory — Move from AI Conversations to AI Decisions in 8 Weeks
A focused advisory program that delivers a complete AI strategy — readiness assessment, prioritized use cases, product concepts, and implementation roadmap — led by the holder of 20+ AI patents.
The Board Asks "What's Our AI Strategy?" — You Need a Better Answer Than "We're Exploring It."
Every leadership team is asking the same questions: Where should we invest in AI? What can we build versus buy? How do we move fast without breaking what works? The answers don't come from technology — they come from strategy. Most AI initiatives fail not because the models don't work, but because organizations chase the wrong use cases, underestimate implementation complexity, or lack the roadmap to move from pilot to production.
What Most Companies Do
- Chase vendor demos that promise transformation overnight
- Run AI pilots that never scale beyond the demo environment
- Hire data scientists without a clear strategy for what to build
- Confuse AI automation with AI-powered competitive advantage
- Present "we're exploring AI" as a strategy to the board
What This Program Delivers
- An objective assessment of your AI readiness across five dimensions
- A scored portfolio of use cases prioritized by impact and feasibility
- Detailed product concepts for your top 3–5 AI opportunities
- A phased implementation roadmap covering 12–24 months
- A board-ready executive AI briefing you can present next quarter
The hardest part of AI isn't the technology. It's knowing where to apply it. This program provides that clarity.
Five Executive Deliverables. Designed for Action.
Every deliverable is shaped by the AI-powered innovation frameworks from Innovation Mode 2.0 and 25 years of building intelligent systems — from data mining platforms in the early 2000s to autonomous AI agents today.
AI Readiness Assessment
A comprehensive diagnostic across five capability dimensions: data infrastructure, technical talent, process maturity, leadership alignment, and cultural readiness. No generic benchmarks — a diagnosis specific to your operating reality, identifying exactly where the gaps will slow you down.
AI Use Case Portfolio
A prioritized portfolio of AI opportunities mapped across your business — from quick wins that build momentum to strategic bets that create competitive moats. Each use case scored on business impact, technical feasibility, data readiness, and implementation complexity. Not a wishlist — a decision-ready framework.
AI Product Concepts
For your top 3–5 priority use cases: detailed product concepts including user journeys, technical architecture, build-vs-buy recommendations, integration points, and success metrics. These are the specifications your product and engineering teams need to move from "interesting idea" to "let's build this."
AI Implementation Roadmap
A phased transformation plan covering 12–24 months: what to pilot first, what to scale, what to defer. Includes technology stack recommendations, vendor evaluation criteria, talent requirements, governance framework, and risk mitigation. Each phase has clear milestones and decision gates.
Executive AI Briefing
A board-ready presentation synthesizing findings, recommendations, and roadmap — designed for communicating AI strategy to leadership, investors, and stakeholders. Includes talking points for the questions your board will ask: ROI timelines, competitive positioning, risk exposure, and talent strategy. Present it next quarter.
Every program includes 10 copies of Innovation Mode 2.0 — the complete framework for building AI-powered innovation capabilities. Your leadership team receives the definitive guide to sustaining the AI transformation long after the program concludes.
From AI Ambiguity to AI Clarity. Week by Week.
50 hours of AI strategy advisory delivered across 32 sessions. Every week targets a specific dimension — building toward a complete, actionable AI strategy your team can execute. Remote or hybrid.
AI Readiness
We assess your AI capabilities across five dimensions: data infrastructure and quality, technical talent and skills gaps, existing AI/ML initiatives, vendor relationships, and organizational readiness for AI-driven change. We benchmark against what's achievable and identify the specific constraints that will shape your strategy.
Opportunity Mapping
We map AI opportunities across your entire value chain — customer experience, operations, product development, decision-making, and back-office functions. We interview stakeholders across business units to surface pain points. The goal: identify where AI creates competitive advantage, not just automation.
Strategic Prioritization
We score and prioritize identified opportunities: business impact, technical feasibility, data readiness, time to value, and strategic alignment. We separate quick wins from long-term bets and identify the sequencing that builds capability while delivering results. You'll know exactly which use cases to pursue — and which to defer.
AI Product Concepts
For your top 3–5 priority use cases, we develop detailed product concepts: user journeys, technical architecture sketches, data requirements, integration points, build-vs-buy analysis, and success metrics. These aren't vague ideas — they're specifications your teams can act on.
Technology & Vendor Strategy
Technology stack, vendor selection, and build-vs-buy decisions. Evaluation criteria for AI platforms, guidance on foundation models vs. custom training, cloud strategy, compute requirements, and data architecture. We help you make the infrastructure decisions that determine whether your AI initiatives scale or stall.
AI Governance & Risk
An AI governance framework appropriate to your organization: policies for data usage, model validation, bias monitoring, and human oversight. Regulatory considerations, IP protection, and risk management. This isn't about slowing you down — it's about building AI capabilities that scale without creating liabilities.
Implementation Roadmap & Executive Briefing
We synthesize all findings into a comprehensive AI Implementation Roadmap and a board-ready Executive AI Briefing. Your roadmap covers 12–24 months — what to pilot first, what to scale, what to defer — with clear milestones, resource requirements, and decision gates at every phase.
Final deliverables presented to leadership: AI Readiness Assessment, Prioritized Use Case Portfolio, AI Product Concepts, Implementation Roadmap, Executive AI Briefing, and 10 copies of Innovation Mode 2.0.
Your Roadmap: From Foundation to AI-Powered in Four Phases
The AI Implementation Roadmap sequences your transformation across 12–24 months. Each phase builds on the previous — quick wins first, strategic bets second, autonomous capabilities last.
AI Strategy from an AI Inventor — Not a Consultant
This program is led by an AI inventor who has been building intelligent systems for 25 years — from data mining platforms in the late 1990s to autonomous AI agents today. Not a team of junior analysts learning on your dime. The person who holds the patents, wrote the book, and built the tools.
For Leadership Teams Ready to Move from AI Talk to AI Decisions
The program works best with a core team of 4–6 stakeholders: C-suite sponsor, heads of product or technology, business unit leaders who would own AI initiatives, and someone from data/analytics. What matters is leadership commitment to act on the findings.
CEOs, COOs & Board-Level Leaders
You need to present an AI strategy next quarter. This program gives you the assessment, the portfolio, and the board-ready briefing to do it with confidence.
CTOs, CDOs & Heads of Technology
You own the technical roadmap. This program provides the architecture decisions, vendor framework, and build-vs-buy analysis your team needs to execute.
Heads of Product, R&D & Innovation
You decide what gets built. This program delivers detailed AI product concepts — user journeys, technical architecture, integration points — for your highest-impact opportunities.
VP Strategy & Transformation Leaders
You drive organizational change. This program provides the governance framework, risk assessment, and phased roadmap that make AI adoption stick — not stall.
Questions from Prospective Clients
How is this different from AI consulting from the big firms?
We're not a tech company. Is this relevant for us?
What if we've already started AI initiatives?
How does this relate to the Innovation Mode Advisory?
What's the time commitment for our team?
Do you help with implementation?
Why do most AI pilots fail to scale?
On Innovation Mode 2.0 — The Book Behind the Methodology
The frameworks deployed in this program are drawn from Innovation Mode 2.0 (Springer, 2026). Here's what innovation leaders are saying about the book.
"Not just a book, but a blueprint for what it really takes to build innovative companies in today's world — companies that don't just talk about innovation, but live it in their culture, in their systems, and in their everyday decisions."— Alex Adamopoulos | CEO, Emergn
"An excellent overview and reference point about people, culture, and capabilities as the key pillars of innovation and practical ways to discover, validate, and realize opportunities on the road to innovation."— Dr. Mathew Hughes | Professor of Innovation, University of Leicester
"Very practical and inspirational for executives, leaders, middle-level managers, and teams willing to transform their vision to actual execution. Must-read and must-use."— Achilleas Stergioulis | Director, INTRASOFT International
"A must-read for innovation managers, top-level corporate executives, and entrepreneurs!"— A. Tzoumas | CTO, SciFY.org
Ready to Move from AI Conversations to AI Decisions?
Apply with a brief form and receive a tailored proposal within 48 hours — matched to your organization's size, industry, and AI maturity.
Request a Proposal →50 hours · 32 sessions · 8 weeks · Remote or hybrid · Led by the holder of 20+ AI/ML patents
Also available: Innovation Mode Advisory — an 8-week program for building your organization's innovation architecture and capability.