Designing Innovative Companies in the Era of Artificial Intelligence
For the executives who set the innovation agenda — a 340-page operating manual that converts innovation rhetoric into a sequenced, AI-powered system. Built on 25 years of practice and 20+ AI/ML patents. By George Krasadakis — architect of Ainna.ai.
Your Competitors Are Building AI Innovation Engines. Are You?
AI agents now generate hundreds of product concepts before your team drafts an agenda. Innovation cycles that took quarters collapse into weeks. The organizations that win won't be the ones with the cleverest ideas — they'll be those with the operational architecture to discover, validate, and commercialize at machine speed. Innovation Mode 2.0 is the first published architecture for agentic innovation in a corporate context, and the operating manual that delivers it.
The Pattern Most Boards Now Recognize
The Board Asks "What's Our Innovation Strategy?" — Do You Have a Real Answer?
The annual report celebrates innovation culture. The offsite produced a dozen strategic themes. Yet three quarters later, the pipeline is thin, the pilots haven't scaled, and your best technologists are quietly interviewing elsewhere. The gap between innovation rhetoric and innovation outcomes is the most common — and most expensive — pattern in modern enterprise.
The Expensive Illusion
Branded innovation labs that produce impressive demonstrations for visitors but generate no revenue. Hackathon energy that dissipates Monday morning. Programs designed to signal innovation, not produce it.
Organizational Gridlock
Five business units, five different "innovation priorities," and no shared framework for deciding what to build, fund, or kill. Ideas trapped between silos. Everyone owns innovation — nobody is accountable.
Vanity Metrics Everywhere
Dashboards tracking "ideas submitted" and "hackathon participation rates" while no one measures validation velocity, concept-to-market cycle time, or portfolio returns. Activity metrics masquerading as impact.
AI Without a Playbook
Board pressure to "do something with AI." Vendor pitches promising transformation with no implementation clarity. Pilots that cost six figures and never scale beyond the demo environment. Strategy by headline.
The deficit isn't creative. It's architectural. Innovation Mode 2.0 gives you the system.
The Book
Innovation Mode 2.0: Designing Innovative Companies in the Era of Artificial Intelligence
Each of those failure patterns has a name in this book — and a specific intervention to fix it. This isn't another manifesto about "thinking differently." It's an executive operating manual, built from two and a half decades of building innovation labs, programs, and venture functions at Microsoft, Accenture, GSK, ResMed, and four technology startups. It tells you what to do, when to do it, and why the sequence matters.
The book opens with the diagnostic framework that explains why innovation programs fail (the 6 Innovation Deficits). It then builds upward: innovation culture and organizational design, the Chief Innovation Officer role in an AI landscape, AI-powered hackathons and design sprints, autonomous opportunity discovery, AI-powered concept validation, MVP-driven realization, innovation performance measurement, and a sequenced Innovation Masterplan of 70+ interventions mapped to a 7-level Innovation Maturity Index. 75% of the content is entirely new — built from scratch for the AI era.
The 6 Innovation Deficits — Six Root Causes, One Diagnostic System
Before prescribing solutions, the book identifies the disease. After two and a half decades working across 20+ organizations, the author distilled dozens of failure patterns into six structural deficits — each defined, diagnosed, and connected to specific interventions in the Innovation Masterplan. Most struggling organizations suffer from three or more simultaneously.
1
Leadership Deficit
Executives who champion innovation rhetorically while starving it of political capital, budget authority, and personal involvement. The most common deficit, and the one that compounds all others.
2
Organizational Design Deficit
Reporting lines and incentive structures that actively punish cross-functional collaboration and reward the status quo. Innovation gets stuck between silos.
3
Innovation Capabilities Deficit
No prototyping infrastructure, no experimentation methodology, no path from validated concept to functioning product. Ideas exist in slides, not in market.
4
Real-World Connection Deficit
Innovation programs disconnected from customers, markets, and competitive signals — building on internal conviction rather than external evidence.
5
Talent & Cultural Deficit
An environment where failure is career-ending, risk is avoided, and the most innovative employees leave for organizations that value experimentation.
6
Venture Building Deficit
The last mile — validated opportunities die in commercialization because the organization doesn't know how to build, launch, and scale new ventures.
The Innovation Maturity Index
From Innovation-Inactive to Innovation-Native — Seven Levels
The Innovation Maturity Index is the diagnostic backbone of Innovation Mode 2.0 — positioning organizations against seven named maturity levels and connecting each level to the specific phase of the Innovation Masterplan that applies. Most organizations plateau at Level 4 or 5; the destination is Level 7.
1
Inactive
2
Aware
3
Engaged
4
Active
5
Powered
6
Led
7
Native
Goal
At Levels 1–3, leadership talks innovation but doesn't operationalize it. Levels 4–5 introduce dedicated teams and measurement — most companies plateau here. At Level 6, AI augments every stage of the innovation pipeline. At Level 7, innovation is indistinguishable from how the company operates. The Innovation Masterplan sequences 70+ interventions across the Six Phases of Innovation Transformation (Power-Up, Spark, Connect, Empower, Scale-Up, Embed) — each phase mapped to specific maturity levels.
Inside the Book
Five Thematic Parts. Eleven Chapters. One Coherent System.
The 11 chapters trace the actual journey of building an innovation function — from diagnosing why programs fail, to running AI-powered discovery and validation at machine speed, to measuring outcomes the board will accept. They group into five thematic Parts, each building on the last, each anchored to specific frameworks the book introduces. Read sequentially as a transformation playbook, or jump to the Part that matches where your organization is now.
Part One01
The Diagnostic
Understanding what innovation actually is — and why most corporate programs fail to produce it.
The opening Part redefines innovation as a measurable corporate function rather than a vague aspiration. Chapter 1, Innovation (Re)Defined, establishes the operational vocabulary — distinguishing novelty, invention, innovation outcomes, and innovation opportunities, then classifying innovation by target, intensity, style, and approach. Chapter 2, The Innovative Organization, presents the diagnostic spine of the book: the 6 Innovation Deficits (Leadership, Organizational Design, Innovation Capabilities, Real-World Connection, Talent and Cultural, Venture Building) and the Innovation Maturity Index — the 7-level framework for honest self-assessment.
Ch. 1 — Innovation (Re)DefinedCh. 2 — The Innovative Organization
The people, the leadership role, and the AI-powered capabilities that make innovation possible.
Innovation doesn't happen in spreadsheets — it happens through people, organized correctly, with the right capabilities. Chapter 3, People and Culture, defines the modern Chief Innovation Officer role, the Innovation Dream Team structure, and the cultural conditions that allow experimentation to survive contact with the rest of the organization. Chapter 4, Innovation Capabilities: Powered by AI, builds the foundational capability layer — connecting strategy, agenda-setting, and the AI-augmented infrastructure that the next Part will operationalize.
Ch. 3 — People and CultureCh. 4 — Innovation Capabilities: Powered by AI
Frameworks introducedChief Innovation Officer role · Innovation Dream Team · AI-powered innovation capabilities
Part Three03
The Operations
Running discovery, validation, and realization at machine speed — the operational core of agentic innovation.
The longest and most operational Part of the book — four chapters covering how AI-powered innovation actually runs day-to-day. Chapter 5, Innovation Workshops and the Impact of AI, redesigns brainstorming, hackathons, and design sprints for the agentic era. Chapter 6, Opportunity Discovery: Using Artificial Intelligence to Spot High-Potential Concepts, presents the autonomous opportunity discovery architecture — agents scanning patents, research, and market signals around the clock. Chapter 7, Opportunity Validation: Testing Concepts with Real-World Evidence, covers AI-powered concept validation through synthetic expert panels and structured experimentation. Chapter 8, Opportunity Realization: Building MVPs and Driving Growth, closes the loop with MVP-driven realization and the agent-assisted product framing pipeline.
Ch. 5 — Innovation Workshops and the Impact of AICh. 6 — Opportunity DiscoveryCh. 7 — Opportunity ValidationCh. 8 — Opportunity Realization
Performance frameworks that report innovation outcomes to the board — not activity dashboards.
If you can't measure it, you can't run it. Chapter 9, Innovation Performance Measurement, builds a layered measurement architecture: macro innovation performance metrics for the board, portfolio-level metrics for the innovation function, and capability KPIs for the operational teams. The chapter explicitly names the vanity metrics that organizations should stop reporting — and the outcome metrics that actually correlate with innovation maturity progression.
The Innovation Masterplan — sequencing 70+ interventions across the Six Phases of Innovation Transformation.
The closing Part is the synthesis that makes the rest of the book actionable. Chapter 10, The Innovation Masterplan: Getting to the Innovation Mode, presents the Innovation Masterplan: 70+ sequenced interventions organized across the Six Phases of Innovation Transformation — Power-Up, Spark, Connect, Empower, Scale-Up, and Embed — each phase mapped to specific Innovation Maturity Index levels. Chapter 11, Final Remarks, closes with the author's reflections on what changes when an organization actually reaches Innovation-Native status. This is the operational Plan most innovation books promise but never deliver.
Ch. 10 — The Innovation MasterplanCh. 11 — Final Remarks
Frameworks introducedInnovation Masterplan · Six Phases of Innovation Transformation · Closing reflections
The Agentic Innovation Architecture
The First Published Architecture for Agentic Innovation in a Corporate Context
At the heart of Innovation Mode 2.0 is a published architecture that no other corporate-innovation book contains: three autonomous capabilities that compress the path from market signal to revenue. This is what the next generation of corporate innovation infrastructure looks like — and what the book equips you to build.
1
AI-Powered Opportunity Discovery
A network of specialized agents monitoring patents, academic research, competitor filings, and consumer sentiment around the clock — synthesizing what they find into ranked business opportunities. No prompting required. The system surfaces what your teams would take months to notice.
2
AI-Assisted Validation
Each concept is challenged by simulated panels of synthetic personas — a skeptical CFO, an early-adopter customer, a domain scientist, a venture capitalist — probing feasibility, market fit, and risk. The output: a confidence-scored assessment delivered in hours, not the weeks traditional research demands.
3
Agent-Driven Realization
Validated concepts move directly into AI-assisted product framing — user stories, technical stack recommendations, go-to-market hypotheses, and experiment designs all generated before your product team opens their first planning document. The gap between "approved" and "in market" shrinks from quarters to weeks.
Already operational. The author is the architect of Ainna.ai — an autonomous innovation agent that runs this exact architecture in production. It scans markets, generates scored concepts, stress-tests them through synthetic expert panels, and outputs complete venture documentation. The frameworks in this book aren't aspirational — they're deployed.
Endorsements
What Innovation Leaders Are Saying
"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
"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 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
Who Is This Book For
Written for Leaders Accountable for Innovation Outcomes
Innovation Mode 2.0 is designed for executives and senior leaders who are accountable for building or transforming their organization's innovation capability — and who need a proven system, not another inspirational talk.
Chief Innovation Officers (CINOs) & VPs of Innovation
You own the innovation function. The book gives you the diagnostic tools, the organizational designs, and the AI-powered capabilities to make it deliver measurable outcomes — not just activity.
CEOs, COOs & CxO Leadership
You set the strategic direction. The book shows you how to assess your innovation maturity honestly, allocate resources to the right interventions, and build the architecture that compounds over time.
Heads of Product, R&D & Technology
You build what gets shipped. The book connects innovation strategy to product execution — from AI-powered opportunity discovery through MVP definition, business experimentation, and go-to-market.
Innovation Consultants & Transformation Leaders
You advise organizations on change. The book gives you a comprehensive, referenceable framework — the Innovation Maturity Index, the 6 Innovation Deficits diagnostic, and 70+ sequenced interventions you can deploy with clients.
A hands-on innovator, AI inventor, product designer, startup founder, and corporate innovation leader — bringing real-world implementation to every framework in this book.
Unlike many who theorize about corporate innovation, George actively builds it. His career spans 80+ data-driven technology projects across telecom, banking, retail, and consulting — including AI-powered competition analysis systems, dynamic pricing engines, churn prediction platforms, and credit scoring models that transformed operations for multinational clients. Senior leadership roles at Microsoft, Accenture, GSK, and ResMed, where he established and led innovation programs, product discovery teams, and innovation centers.
A serial entrepreneur, George founded five technology ventures: Datamine pioneered data mining and machine learning for intelligent decision-making across 20+ multinationals before these technologies became mainstream. Plantobuy introduced social commerce through anonymous buying-plan data. Ideachain brought blockchain to intellectual property protection for innovators. Each venture sharpened the frameworks now codified in this book.
Sole inventor of 20+ AI/ML patents in AI-powered ideation systems, voice-driven brainstorming agents, and intelligent negotiation agents — filed 2016–2018, long before the generative AI wave validated every thesis. His early work on agentic AI systems for corporate innovation anticipated by nearly a decade what the industry now recognizes as essential. He holds an MSc in Computational Statistics (University of Bath), and his published research has accumulated 500+ citations. His first edition, The Innovation Mode (Springer, 2020), established a new standard for practitioner-focused innovation frameworks — carrying a 4.8 rating on Amazon across 9 verified reviews and used as a reference by researchers and corporate innovation teams worldwide.
Architect of Ainna.ai — the autonomous innovation agent that proves every framework in this book works in production. Follow George on LinkedIn →
4
Innovation Centers Built
20+
AI/ML Patents
5×
Founder
80+
Tech Projects
500+
Scholar Citations
4.8★
9 Amazon Reviews · 1st Edition
Work with the Author
Advisory Programs Built on the Book's Frameworks
The frameworks in Innovation Mode 2.0 are the same ones deployed with clients. Two focused 8-week programs — each delivering concrete strategy and actionable deliverables, not another consulting deck. Get in touch to discuss your organization's needs.
Innovation
Corporate Innovation Advisory
Get your Diagnostic, Innovation Playbook, and 24-month Innovation Masterplan in 8 weeks. An intensive transformation program built on the book's Six Phases of Innovation Transformation (Power-Up, Spark, Connect, Empower, Scale-Up, Embed) — each phase mapped to your current Innovation Maturity Index level and 70+ sequenced interventions.
50 hours · 32 sessions · 8 weeks · Remote or hybrid · Includes 10 copies of the book.
Get your AI Use Case Portfolio and 24-Month AI Roadmap in 8 weeks. Built on the book's first published architecture for agentic innovation in a corporate context — covering AI-powered opportunity discovery, AI-assisted validation, and agent-driven realization.
50 hours · 32 sessions · 8 weeks · Remote or hybrid · Led by an AI inventor with 20+ AI/ML patents.
Frequently Asked Questions About Innovation Mode 2.0
What is Innovation Mode 2.0 about?
Innovation Mode 2.0: Designing Innovative Companies in the Era of Artificial Intelligence by George Krasadakis (Springer, January 2026) is a 340-page executive operating manual for building an AI-powered corporate innovation function. The book is structured around five thematic Parts: (1) The Diagnostic — covering the 6 Innovation Deficits and the 7-level Innovation Maturity Index; (2) The Foundation — the Chief Innovation Officer role and Innovation Dream Team; (3) The Operations — AI-augmented workshops, autonomous opportunity discovery, AI-powered concept validation, and MVP-driven realization; (4) The Measurement — innovation performance frameworks; and (5) The Masterplan — 70+ sequenced interventions across the Six Phases of Innovation Transformation (Power-Up, Spark, Connect, Empower, Scale-Up, Embed). It is the first published architecture for agentic innovation in a corporate context.
What's new in Innovation Mode 2.0 versus the first edition?
Approximately 75% of the content is entirely new, rebuilt from the ground up for the agentic AI era. The first edition (The Innovation Mode, Springer 2020) focused on the human and organizational pillars of corporate innovation — culture, leadership, and innovation processes. The 2026 edition retains and refines the diagnostic foundations (6 Innovation Deficits, Innovation Maturity Index) and adds: the first published architecture for agentic innovation in a corporate context; AI-powered opportunity discovery, AI-assisted validation, and agent-driven realization as named operational capabilities; the Six Phases of Innovation Transformation as the sequencing layer; the Innovation Masterplan with 70+ sequenced interventions; and AI-augmented workshops covering brainstorming, hackathons, and design sprints. The structural change reflects how corporate innovation has evolved from a primarily human-driven function to a human-AI hybrid one.
What frameworks does Innovation Mode 2.0 introduce?
The book introduces or formalizes seven primary frameworks: (1) the 6 Innovation Deficits diagnostic for identifying root causes of innovation failure (Leadership, Organizational Design, Innovation Capabilities, Real-World Connection, Talent and Cultural, Venture Building); (2) the Innovation Maturity Index — a 7-level scale from Innovation-Inactive to Innovation-Native; (3) the Innovation Masterplan — 70+ sequenced interventions for transformation; (4) the Six Phases of Innovation Transformation (Power-Up, Spark, Connect, Empower, Scale-Up, Embed); (5) the agentic innovation architecture covering AI-powered opportunity discovery, AI-assisted validation, and agent-driven realization; (6) the Innovation Dream Team structure; and (7) the Chief Innovation Officer role definition for the AI era. Each framework is operational rather than theoretical — designed to be implemented, not just described.
What are the 6 Innovation Deficits?
The 6 Innovation Deficits are the root causes of corporate innovation failure identified in Chapter 2 of Innovation Mode 2.0: (1) Leadership Deficit — executives who champion innovation rhetorically but starve it of political capital, budget, and personal involvement; (2) Organizational Design Deficit — structures that punish cross-functional collaboration and reward the status quo; (3) Innovation Capabilities Deficit — no prototyping infrastructure or experimentation methodology; (4) Real-World Connection Deficit — innovation programs disconnected from customers, markets, and competitive signals; (5) Talent and Cultural Deficit — environments where failure is career-ending and risk is avoided; (6) Venture Building Deficit — validated opportunities that die in commercialization. Most struggling organizations suffer from three or more deficits simultaneously.
What is the Innovation Maturity Index?
The Innovation Maturity Index is the 7-level diagnostic framework at the heart of the book — positioning organizations from Innovation-Inactive (Level 1) to Innovation-Native (Level 7). The seven levels are: 1. Inactive, 2. Aware, 3. Engaged, 4. Active, 5. Powered, 6. Led, 7. Native. At Levels 1–3, leadership talks innovation but doesn't operationalize it. Levels 4–5 introduce dedicated teams and measurement — most companies plateau here. At Level 6, AI augments every stage. At Level 7, innovation is indistinguishable from how the company operates. The Innovation Masterplan sequences 70+ interventions across the Six Phases of Innovation Transformation, with each phase mapped to specific maturity-level transitions.
What are the Six Phases of Innovation Transformation?
The Six Phases of Innovation Transformation are the sequencing layer of the Innovation Masterplan: (1) Power-Up — establishing the leadership mandate, budget authority, and initial capability investments; (2) Spark — activating innovation programs, opportunity scanning, and the Innovation Dream Team; (3) Connect — wiring innovation into business unit operations, customer signals, and external ecosystems; (4) Empower — equipping teams with AI-augmented capabilities, prototyping infrastructure, and decision-rights; (5) Scale-Up — graduating validated concepts into ventures and scaling the operational architecture; (6) Embed — making innovation operating practice rather than discrete program. Each phase corresponds to specific Innovation Maturity Index level transitions, and each is supported by a subset of the 70+ sequenced interventions.
What is the Innovation Masterplan in Innovation Mode 2.0?
The Innovation Masterplan is the synthesizing framework presented in Chapter 10: a sequenced program of 70+ interventions for transforming an organization's innovation capability from its current Innovation Maturity Index level to its target level. Interventions are organized across the Six Phases of Innovation Transformation (Power-Up, Spark, Connect, Empower, Scale-Up, Embed), each mapped to specific maturity-level transitions, and each accompanied by the why, the when, and the conditions under which the intervention works. The Innovation Masterplan is also the named deliverable of the Corporate Innovation Advisory program — the same framework, packaged as an executable 8-week engagement.
How does AI power corporate innovation in Innovation Mode 2.0?
The book presents the first published architecture for agentic innovation in a corporate context — built on three autonomous capabilities documented across Chapters 5 through 8: (1) AI-powered opportunity discovery — specialized AI agents monitoring patents, research, competitor filings, and consumer sentiment to surface ranked business opportunities; (2) AI-assisted validation — simulated panels of synthetic personas that stress-test concepts for feasibility, market fit, and risk; (3) Agent-driven realization — AI-assisted product framing including user stories, technical recommendations, and go-to-market hypotheses. This architecture is already operational in Ainna.ai, the autonomous innovation agent built by the author. Chapters 5 through 8 also cover AI-augmented brainstorming, hackathons, and design sprints — the human-AI hybrid workshop formats.
Who is Innovation Mode 2.0 written for?
The book is designed for executives and senior leaders accountable for building or transforming their organization's innovation capability. Primary audiences are: Chief Innovation Officers (CINOs) and VPs of Innovation who own the innovation function; CEOs, COOs, and CxO leadership who set strategic direction and allocate innovation resources; Heads of Product, R&D, and Technology who connect innovation strategy to product execution; and innovation consultants and transformation leaders who advise organizations on change. The book assumes the reader has authority over (or significant influence on) innovation budgets, organizational structures, or strategic direction. It is not a primer for individual contributors.
How is Innovation Mode 2.0 different from other innovation books?
The book differs from the corporate innovation canon in three concrete ways. First, it integrates agentic AI as the operational foundation rather than as a topic chapter — most innovation books from 2020 onward bolt AI onto pre-existing frameworks; this book rebuilds the operational layer around AI-powered opportunity discovery, AI-assisted validation, and agent-driven realization. Second, it is sequenced as an executable program — the Innovation Masterplan with 70+ sequenced interventions across the Six Phases of Innovation Transformation gives readers a what-to-do-when artifact, not just a model. Third, it is written by an active practitioner rather than a researcher: George Krasadakis is the holder of 20+ AI/ML patents filed before ChatGPT existed, has built four innovation centers, founded five technology ventures, and is currently architect of Ainna.ai — an autonomous innovation agent in production. The frameworks have been deployed, not just described.
Where can I buy Innovation Mode 2.0?
The book is available in hardcover (ISBN 978-3-032-00834-3) and ebook (ISBN 978-3-032-00835-0) editions. Buy directly from Springer, from Amazon (and regional Amazon stores), or through major academic and business book retailers. Institutional and bulk purchasing is available through Springer Nature for executive teams, advisory firms, and academic departments.
Can I cite Innovation Mode 2.0 in academic research?
Yes. The book is published by Springer Nature, indexed in major academic databases, with both hardcover (ISBN 978-3-032-00834-3) and ebook (ISBN 978-3-032-00835-0) ISBNs. Standard citation: Krasadakis, G. (2026). Innovation Mode 2.0: Designing Innovative Companies in the Era of Artificial Intelligence. Springer Nature. Suitable for research on corporate innovation, agentic AI in business contexts, innovation maturity assessment, and AI-powered organizational transformation. The Innovation Maturity Index, 6 Innovation Deficits, and Six Phases of Innovation Transformation frameworks are original to this volume.
Who is the author of Innovation Mode 2.0?
George Krasadakis is the author of Innovation Mode 2.0, published by Springer Nature in January 2026. He is the sole inventor of 20+ AI/ML patents filed 2016–2018, has built 4 innovation centers, shipped 80+ products, and founded 5 technology ventures. His career includes senior leadership roles at Microsoft, Accenture, GSK, and ResMed. He holds an MSc in Computational Statistics from the University of Bath and is the architect of Ainna.ai, an autonomous innovation agent in production. His first edition, The Innovation Mode (Springer, 2020), accumulated 500+ scholar citations and is used as a reference by corporate innovation teams and researchers worldwide.
Order Innovation Mode 2.0
The executive operating manual most innovation strategy promises but never delivers. 340 pages, 11 chapters, 70+ sequenced interventions across the Six Phases of Innovation Transformation — and the first published architecture for agentic innovation in a corporate context. Published by Springer Nature, January 2026.
Hardcover · ISBN 978-3-032-00834-3 · Ebook ISBN 978-3-032-00835-0 By George Krasadakis · Architect of Ainna.ai · Holder of 20+ AI/ML patents
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