At a Glance

George Krasadakis, author of Innovation Mode

Artificial intelligence is changing corporate innovation. It compresses innovation cycles, unsettles roles and organisational structures, and changes how decisions get made. It is both the answer and a source of internal disruption, and it calls for a system most companies do not have: 83% rank innovation as a top priority, yet just 3% are ready to deliver (BCG 2024).

Innovation Mode addresses that: how to establish a systematic, AI-powered innovation function within an organisation. It describes a model in which innovation becomes continuous and autonomous, part of the operating system of the modern corporation. Chief Innovation Officers get a 7-level innovation maturity index, agentic capabilities for opportunity discovery, validation, and realisation, and a roadmap of 70+ interventions to transform their organisations: culture, capabilities and AI agents, connected into one working system.

George Krasadakis is the named inventor on AI-powered systems and intelligent agents filed in 2016 and 2018, long before ChatGPT existed. His first edition (2020) introduced the foundational innovation framework; his work on innovation and AI has been cited 600+ times. He convenes 120+ global executives through his 60 Leaders series. He also built Ainna, the agentic innovation platform, now in production.

The Book Innovation Mode
A guide for Chief Innovation Officers, CTOs and executive teams in the era of artificial intelligence

The Author Innovation Architect · Named inventor on 18 patent families, most in AI. Ex-Microsoft, Accenture, GSK and ResMed. Architect of Ainna

What sets it apart Technology. Culture. Roadmap. A complete system for AI-powered corporate innovation.

Resources Review copies, written Q&A, articles on Innovation Culture, Agentic AI, and the impact of Artificial Intelligence

Why Now

Innovation Disrupts Itself

Innovation cycles are collapsing. What took months now takes days. What took days will soon take hours. When AI can generate hundreds of ideas and entire product concepts before your team finishes just one meeting, the rules of corporate innovation change entirely. The companies that thrive won't be those with the best ideas—they'll be those with the architecture to systematically discover, validate, and test promising concepts using real-world evidence. That architecture doesn't exist in most organisations. This book provides it.

Ideas are everywhere. What matters now is the opportunity discovery function: an organisation's ability to spot opportunities, validate with real-world data, and move to market before the window closes.

The Book

Innovation Mode is a practitioner's guide to designing and running innovative companies in the AI era, written for Chief Innovation Officers, CTOs and executive teams going through this change.

The book starts with diagnosis: the 6 Innovation Deficits framework shows why innovation programmes fail, from leadership blind spots to venture building gaps. It then sets out the remedy: innovation culture, the values that enable it, the organisational structures that support it, and the cross-functional teams and roles required to sustain it, including how the Chief Innovation Officer role must change when AI is part of the work.

Beyond culture, the book details the complete AI capability stack for modern innovation: market intelligence, opportunity discovery, validation, realisation, and portfolio management. It covers how AI transforms traditional innovation practices—from brainstorming sessions to design sprints to hackathons—compressing what took weeks into hours.

And it introduces the first published architecture for agentic innovation, built on autonomous opportunity discovery: AI agents that scan markets continuously, generate concepts, and stress-test them through simulated customer, investor, and expert panels—before human review.

George Krasadakis - the founder of Innovation Mode Limited and author of the book - is the architect of Ainna — an agentic innovation platform. Ainna embodies the principles of Innovation Mode: an autonomous system that discovers opportunities, validates concepts, and generates execution-ready documentation. It's proof that AI-powered innovation isn't speculative—it's already here.

434 Pages

11 Chapters

75%+ New Content

70 Interventions

From the Forewords

"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

The Evolution

The first edition (2020) established a practitioner framework for corporate innovation—covering innovation culture, prototyping, design sprints, hackathons, MVP development, and measuring innovation. This Author's Edition refines that foundation for a world where AI changes everything, with 75%+ new content built from scratch for the AI era.

What's New in This Edition

→ The 6 Innovation Deficits diagnostic
→ Opportunity Discovery powered by AI
→ Opportunity Validation using real-world evidence
→ Opportunity Realization powered by AI
→ AI-optimised Innovation Workshops
→ AI-powered Innovation Framework
→ Masterplan of 70+ interventions

What Sets This Book Apart

→ Diagnostic-first — starts with why innovation fails
→ Insights-driven — scorecards, metrics, structures
→ AI-native — designed around AI, not retrofitted
→ Insider realism — politics, culture blockers
→ Original thinking — novel ideas and frameworks
→ Future-facing — how AI reshapes roles & careers

The 6 Innovation Deficits

After more than 25 years building data-driven systems, and later innovation labs, centres, venture teams, and programmes, across 20+ global organisations and markets—as innovator, inventor, innovation leader, and innovation architect—the author has seen corporate innovation fail from every angle. He grouped dozens of failure factors and blockers into a system of six primary deficits that explain why innovation stalls—even when resources and intentions are aligned.

1

Leadership Deficit

Executive blind spots, symbolic commitments, leadership that delegates innovation without participating.

2

Organisational Design

Silos, hierarchy, ambiguous ownership that trap ideas between departments.

3

Capabilities Deficit

Missing infrastructure to move from concept to prototype to scale.

4

Real-World Connection

Disconnection from customers and markets; innovation built on assumptions.

5

Talent & Culture

Missing skills plus cultures that penalise experimentation.

6

Venture Building

The commercialisation gap where validated concepts never reach market.

The Innovation Masterplan

Most innovation frameworks hand you a checklist. This book hands you a sequenced roadmap—70+ interventions mapped to your actual maturity level, each with the why, when, and how. The wrong intervention at the wrong stage doesn't just fail; it sets you back.

The Innovation Maturity Index positions your organisation against seven named innovation levels—from Innovation-Inactive to Innovation-Native. It enables leaders to assess where they actually stand (not where they think they are), envision the next level, and develop a concrete strategy for getting there.

Each level builds on the previous. The destination is Innovation-Native (Level 7), where innovation techniques, methods, and processes are fully embedded into the organisation's operational core. At this stage, innovation is no longer a separate function: it is part of the essential business processes, supported by AI systems that provide market intelligence, contribute ideas and validate opportunities autonomously.

The 7 Innovation States

Where does your organisation stand? The Innovation Maturity Index diagnoses your current state—and prescribes the interventions to reach the next level. At Levels 1–3, there's no systematic process; leadership talks innovation but doesn't resource it. Levels 4–5 bring dedicated leadership, active communities, and measurement—most companies stop here. At Levels 6–7, innovation becomes AI-powered and embedded in core operations. At Level 7, it's no longer a function—it's how the company operates.

1

Inactive

2

Aware

3

Engaged

4

Active

5

Powered

6

Led

7

Native

Goal

7Maturity Levels

From Innovation-Inactive to Innovation-Native. A diagnostic framework that unveils blind spots and lays the groundwork for strategic improvement.

70Interventions

Specific, actionable recommendations—each mapped to the appropriate maturity level. The right action at the right time.

1Destination

Level 7: Innovation-Native. AI-powered discovery integrated into business processes. Innovation as an organic capability, not a separate function.

The AI Innovation Architecture

The first published architecture for agentic innovation: three AI-powered capabilities working in concert—from market sensing to validated, investment-ready concepts.

1

Autonomous Opportunity Discovery

AI agents that scan markets 24/7, detect weak signals, identify emerging trends, and generate business concepts—without human prompting. Environmental sensing meets multi-agent ideation.

2

AI-Powered Validation

Concepts evaluated through simulated panels of AI personas—representing customers, investors, domain experts, and critics—before human review. Rapid, scalable assessment that surfaces the most promising ideas.

3

Accelerated Realization

From validated concept to working prototype in hours, not months. AI-assisted product definition, technical architecture, and execution-ready documentation—compressing the path from idea to market.

Ainna — the author's current venture — is the working proof of this architecture. An agentic innovation platform that discovers opportunities, validates them through AI expert panels, and generates complete venture documentation. Not theory. Implementation.

Quotable Lines

Ready-to-use quotes from the book. Click any quote to copy with attribution.

"Nearly every company claims to be innovative. Only a tiny fraction truly are."

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"Reflex advantage—the ability to sense opportunities and respond rapidly."

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"When operating in this mode, innovation happens organically."

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"True innovation goes beyond labs, hackathons, and bold innovation titles."

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"Humanity's accumulated knowledge is available through a simple HTTP request."

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"Companies that don't react fast are at risk of being displaced by AI-native competitors."

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"The pace of change demands not just adaptation but proactive opportunity-seeking."

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"A modern organization's most vital capability is a scalable opportunity discovery, validation, and realization function."

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"AI will soon evolve from a thought partner to a chief innovator."

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"Corporate innovation shifts from nice-to-have to existential capability."

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"It is not AI that needs regulation; it is businesses and their leadership."

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"Innovation in the AI era: hours to prototype, days to product, weeks to market."

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All quotes from Innovation Mode by George Krasadakis (Author's Edition, 2026) · eBook ISBN 978-1-0668007-0-4

Article Angles

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Innovation Architecture

The AI Innovation Architecture: Three Capabilities Every Company Needs

AI-powered innovation isn't about tools—it's about architecture and processes. Three autonomous capabilities that work together: Opportunity Discovery (AI agents discovering potential opportunities 24/7), Validation (sophisticated assessment and simulated panels of AI personas), and Realization (in-market experiments and assets). Most companies have none. Leaders will have all three.

Innovation Measurement

Innovation Maturity Index: Where Does Your Company Stand?

Most companies claim to be innovative. Few can objectively assess their actual capability. The Innovation Maturity Index provides a structured diagnostic across seven levels—from Innovation-Inactive to Innovation-Native. This sets the basis for a thorough transformation programme—with 70+ interventions designed to take the organisation to the next level and eventually to the Innovation Mode.

Autonomous Innovation

The Innovation Engine That Never Sleeps

What if your company discovered opportunities around the clock, without waiting for someone to look? The author has built such a system: Ainna, the agentic innovation platform, which scans markets, generates concepts and evaluates them through AI personas representing customers, investors and experts. A look inside the architecture of autonomous innovation.

Innovation Talent

The Existential Crisis Coming for Your Innovation Team

When AI generates remarkable ideas in seconds and functional prototypes in minutes, human innovators question their ability to contribute. For many, it is more than a change of process: it threatens identity, self-esteem and psychological wellbeing. The author explores how organisations can handle the culture shock of AI-powered innovation without losing their best people.

Innovation Talent

From Innovator to Intrapreneur: The Career Path That Survives AI

Traditional innovation roles are fading away and some dying. The future belongs to autonomous, entrepreneurial individuals who make wise investment decisions and drive adoption. This piece explores how to redefine innovation careers before AI makes them obsolete, and why the intrapreneur profile becomes essential in the era of AI.

Leadership

It's Not AI That Needs Regulation, It's Leadership

A contrarian take on AI governance. The author argues we're focused on the wrong problem: the technology isn't the risk, the humans deploying it are. What this means for innovation ethics, transparent governance, and why organisational accountability matters more than algorithmic constraints.

Innovation Measurement

The Metrics That Kill Innovation (And What to Measure Instead)

ROI calculations destroy innovation programmes. So do patent counts, idea submissions, and "innovation revenue." These metrics optimise for the wrong behaviours. The author proposes a measurement framework that drives accountability without crushing experimentation—including leading indicators that predict success before products ship.

Innovation Talent

Stop Hiring "Creative" People for Your Innovation Team

The most effective innovation teams are not built around "creative types". They are built around people who ship, fast. The author shares what 80+ delivered projects taught him about team composition, the specific roles that matter, and why your innovation hiring criteria probably need rethinking.

About the Author

George Krasadakis

Technical depth meets innovation leadership: software engineering, data modelling, and product development—architecting innovation labs, programmes, and venture functions. Innovator, inventor, and advisor across big tech, consulting, pharma, telecom, banking, and retail—in three countries, with global teams.

Senior technology, product, and innovation leadership at various companies including Microsoft, Accenture, GSK, and ResMed. Architected four corporate innovation centres. 80+ technology projects delivered from concept to launch. Founder of five technology ventures, including Datamine, which built data-driven decision systems for 20+ multinationals.

Throughout his career, George witnessed the same pattern: brilliant ideas abandoned to politics and inertia. Innovation programmes that produced impressive labs but no market outcomes—what he calls "innovation theatre." The problem was never a lack of ideas. It was the absence of a system. That observation became the foundation of this book.

Named inventor on 18 patent families, most in AI and most as sole inventor: AI-powered systems, voice-driven brainstorming agents and intelligent negotiation agents, filed years before the current AI wave. He holds an MSc in Computational Statistics from the University of Bath. Currently building Ainna, the agentic innovation platform.

4

Innovation Centres

20+

AI/ML Patents

5

Startups Founded

15+

Global Companies

80+

Projects Delivered

25

Years Experience

600+

Scholar Citations

100+

Articles Published

Reviews of the First Edition (2020)

"A practical guide for how to tap your organization's creative energy, and transform it into an innovation-driven pace-setter."

— Bart Manning, Head of Sales & Business Development, Unity

"An inspiring and must-read book for every organization that doesn't wish to sit on the sidelines while someone else steals their share of the market."

— Sue McGill, SVP, ATB Ventures

"A must-read for any innovation leader looking to reflect and refine existing innovation activities or to set them up completely new."

— Erik Schumb, Founder & CXO, Agile Sprints

"The Innovation Mode is a must-read for innovation managers, top-level corporate executives, and entrepreneurs!"

— A. Tzoumas, CTO, SciFY.org

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Why innovation is now existential—not optional

How AI evolves from thought partner to chief innovator

The 2016 filings that anticipated agentic AI

Why it's leadership, not AI, that needs regulation

The existential crisis coming for innovation teams

Building Ainna: an agentic innovation platform

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Contact

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Emailgeorge@theinnovationmode.com

LinkedInlinkedin.com/in/gkrasadakis

Webtheinnovationmode.com

LocationDublin, Ireland & Athens, Greece

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