Innovation is risky — but the way we fund it doesn’t have to be reckless. In this episode, Greg and Daniel unpack why traditional funding models fail innovation and introduce the Next Fund — a smarter, more strategic way to allocate capital. With vivid case studies (France’s solar road failure and Kenya’s M-Pesa triumph), they demonstrate how disciplined funding and adaptive governance lead to game-changing outcomes. Plus, they unveil the Next Fund Manager, an AI-powered tool designed to align capital decisions with long-term strategy, manage risk, and build serious capital.

Is your innovation portfolio building serious value—or just draining resources?

In this episode of Next Moves with AI, hosts Greg Galle and Daniel Buritica dive into one of the biggest blind spots in organizational innovation: the lack of portfolio thinking. Too many leaders are juggling disconnected initiatives without a clear view of alignment, risk balance, or capital impact.

Greg and Daniel introduce the Next Portfolio Manager AI Assistant—a GPT-powered strategic coach designed to help you manage innovation intelligently. This isn’t about tracking tasks—it’s about thinking differently, balancing ambition with structure, and unlocking multidimensional value.

Through real-world stories from NASA, Melbourne, and Siemens, you’ll discover how disciplined portfolio management transforms innovation from chaos into a serious capital engine.

What You’ll Learn in This Episode:

Why most organizations can’t answer how many innovation initiatives they’re actually running.

How the U.S. Army’s $18B Future Combat Systems failure highlights the danger of unmanaged innovation.

How NASA balanced moonshots and steady wins to deliver lasting impact—and how you can apply the same approach.

How Melbourne and Siemens used portfolio thinking to unlock hidden value across social, natural, intellectual, and reputational capital.

The five key prompts to test drive the Next Portfolio Manager AI Assistant and start rethinking your innovation strategy today.

Innovation bets can cost millions—or your company’s reputation. And yet, most leaders still make those bets using outdated tools: financial ROI and gut instinct. The result? Missed opportunities, overhyped flops, and serious capital blind spots.

In this episode of Next Moves with AI, hosts Greg Galle and Daniel Buritica introduce the Serious Capital Builder—an AI-powered assistant designed to help leaders evaluate innovation initiatives across all six forms of capital: financial, human, social, intellectual, natural, and manufactured.

Through the rise and fall of WeWork and the long-term success of Unilever, Greg and Daniel reveal how smart organizations are shifting from a narrow return mindset to one that truly answers the question: “Is this really worth it?”

Whether you're in the C-suite or on the innovation front lines, this episode will change the way you see value—and show you how to make smarter, more strategic bets in a complex world.

Innovation doesn’t have to be a gamble. In this episode of Next Moves with AI, Greg Galle and Daniel Buritica dive into the difference between bold ideas and smart bets. Using two powerful case studies—Public Health England’s centralized COVID testing failure and Rwanda’s groundbreaking drone delivery success—they explore how structured, disciplined innovation drives real results. You’ll learn how the Super Seven Framework helps leaders ask the right questions before they commit capital—and how the Super Seven Syncher—AI Assistant supports better decisions, faster. If you’re leading innovation in uncertain times, this episode is your roadmap for moving from guesswork to strategic clarity.

Featured Tool

Super Seven Syncher – AI Assistant

An expert AI coach designed to guide innovation teams through the Super Seven Framework. Try it here: [Insert Link]

Connect with the Hosts

Greg Galle – Co-Founder, Solve Next [LinkedIn]

Daniel Buritica – COO, Solve Next [LinkedIn]

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In this episode of Next Moves with AI, Greg Galle and Daniel Buritica explore why traditional innovation is failing and how organizations can replace high-risk bets with structured small bets to maximize learning, minimize risk, and drive real business value.

They introduce the Intelligent Innovation System, built on People, Process, and Platform, and explain how the Small Bets Builder—AI Assistant helps teams identify Super Vital Assumptions (SVAs), design low-risk experiments, and track Learning From Investment (LFI).

Through real-world case studies—Boeing’s 737 MAX failure vs. Spotify’s data-driven growth—Greg and Daniel highlight why structured experimentation is the key to innovation success.

What You’ll Learn in This Episode:

– Why traditional innovation systems fail and how to fix them

– How to use small bets to de-risk innovation and maximize learning

– The Intelligent Innovation Framework (People, Process, Platform)

– How the Small Bets Builder—AI Assistant helps teams test, refine, and scale ideas

– Lessons from Boeing’s failure and Spotify’s success with small bets

– How to apply the Learning From Investment (LFI) mindset in your organization

Links & Resources:

Try the Small Bets Builder—AI Assistant: https://solvenext.snxt.pro/NextGovernor_AI

Start your free two-week trial of Next Lab Pro to access AI-driven innovation tools: https://lab.solvenext.com/hello/pricing

Share your innovation stories—big failures or small wins!

Email us at [email protected] or connect with us on LinkedIn

This episode unpacks strategies for aligning short-term efficiency with long-term innovation using tools like the Next System and AI-driven decision-making frameworks. Learn actionable insights from the successes of Medellín's transformation and the failures of Sears to understand how disciplined innovation can drive sustainable growth. Leaders will gain key takeaways for navigating today's performance-focused environment using validated, scalable solutions.

Next Cycle Navigator—AI Assistant: https://solvenext.snxt.pro/NextCycle_AI

Note: Content in this episode was enhanced with AI, based on original Solve Next concepts, demonstrating our commitment to exploring and utilizing AI capabilities to augment our systematic innovation approach.