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Unlocking Momentum

Unlocking Momentum

Written by: Project Brilliant
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Transformation doesn’t come from theory. It comes from motion. From momentum. And from leaders willing to do things differently. Unlocking Momentum is for the evolving CIOs, strategic leaders who aren’t satisfied just managing systems, but driving growth, enabling innovation, and building the future of their organizations. Hosted by Aaron Kopel, founder of Project Brilliant and creator of the Momentum Locksmith framework, this show is where forward-thinking leaders come to grow.© 2026 Project Brilliant Careers Economics Management Management & Leadership Personal Success
Episodes
  • Scaling AI in Business: Insights on Organizational Change
    May 27 2026

    Technology may enable momentum, but people, leadership, and mindset are what truly move organizations forward.

    In this episode, Aaron Kopel sits down with Gervais Johnson, an experienced leader in AI, Agile transformations, and digital strategy. Gervais shares his journey from working at NASA and General Dynamics to becoming a pivotal player in Agile and AI transformations at major organizations like IBM.


    Through his career, Gervais demonstrates how business and organizational transformation come before technological change, and how AI is not just a tool but a strategy that can open up new business models and revenue streams. He discusses the importance of blending Agile principles with AI adoption and highlights how strong leadership, intentional transformation strategies, and continuous learning drive success in today's fast-paced business environment.

    Gervais emphasizes that true transformation requires not just technology implementation but fostering a culture of collaboration, understanding organizational needs, and focusing on empowering people. He also explores how AI's rapid evolution impacts workflows, governance, and the critical role of leaders in shaping this new landscape.


    Key takeaways:

    • Companies that delay embracing AI risk falling behind
    • AI is a tool for organizational and business transformation
    • Strong leadership and strategy are key to effective AI adoption


    Episode highlights

    (00:00) Intro

    (04:51) How Lilly scaled enterprise AI adoption

    (06:35) Career lessons on stability and negotiation

    (08:59) Building momentum through organizational change networks

    (13:16) AI transformation beyond technology alone

    (16:32) AI augments humans, not replaces them

    (18:45) AI investment strategy, costs, and KPIs

    (22:35) Agent governance, guardrails, and human oversight

    (26:53) Documenting end-to-end workflows before AI automation

    (30:02) Why leaders must actively use AI

    (32:49) AI first versus AI native explained

    (35:38) Vibe coding, agents, and AI development

    (36:56) Companies risk falling behind without AI adoption

    (38:04) CIO roadmap for enterprise AI transformation

    (41:43) Rapid fire questions and final thoughts


    Gervais Johnson on LinkedIn: https://www.linkedin.com/in/gervaisjohnson/

    Aaron Kopel on LinkedIn: https://www.linkedin.com/in/aaronkopel

    Explore Project Brilliant: https://projectbrilliant.com

    Buy Unlocking Momentum: https://a.co/d/hKPFqoS

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    45 mins
  • What CIOs Must Get Right About AI Adoption Today
    May 13 2026

    Momentum inside an organization rarely comes from technology by itself. It is shaped by people, leadership, and the mindset that guides how teams work, adapt, and move forward together.

    In this episode, Aaron Kopel sits down with Steven Barley, Chief Information and Technology Officer at the Indiana Public Retirement System (INPRS), to explore how momentum is unlocked by shifting IT from a support function into a strategic business partner. Steven shares his journey from operations into IT leadership and how it shaped his approach to aligning business needs with technology. He explains why real progress comes from understanding core problems, not just applying new tools, and how strong relationships drive better outcomes.


    Through his modernization efforts, Steven highlights the importance of intentional AI adoption, strong governance, and investing in people through upskilling. He shows how empowering teams, encouraging cross functional thinking, and focusing on customer experience can transform organizations. Ultimately, he reinforces that lasting momentum comes from developing people and aligning strategy with execution.


    Key takeaways:

    • Momentum is driven by people and mindset, not just technology
    • IT creates more value when it acts as a strategic business partner
    • Understanding problems deeply matters more than applying new tool


    Episode highlights

    (00:00) Intro

    (01:00) Transition from operations to IT leadership

    (05:32) Advice on l Learning from other industries and experiences

    (09:31) Networking through conferences and peer groups

    (14:13) Shifting IT to strategic business partner

    (19:08) Using skills matrix to upskill teams

    (22:24) Building data foundation before AI implementation

    (24:24) Challenges of scaling AI governance efforts

    (26:15) Starting small to build AI trust

    (31:54) Key advice for modern CIO leadership

    (39:17) Creative resources to check out

    (42:05) Rapid fire questions with Steven

    (46:01) Leadership legacy and helping others grow


    Steven Barley on LinkedIn: https://www.linkedin.com/in/sbarley/

    Explore the Indiana Public Retirement System (INPRS): https://www.linkedin.com/company/indiana-public-retirement-system/

    Aaron Kopel on LinkedIn: https://www.linkedin.com/in/aaronkopel

    Explore Project Brilliant: https://projectbrilliant.com

    Buy Unlocking Momentum: https://a.co/d/hKPFqoS


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    48 mins
  • AI Goes Beyond Technology, It's a Cultural Shift
    Apr 29 2026

    AI doesn't fail because of bad technology. It fails because of bad change management.

    In this episode, Aaron Kopel sits down with Diana Williams, Director of Change Management at Project Brilliant, to explore why AI adoption is ultimately a people challenge. Drawing from her experience in state government and consulting across regulated industries, Diana shares how organizations often focus on building the technology, but struggle to get employees to actually use it. She explains that resistance is rarely about the tools themselves, but about fear, trust, and the impact on how people see their roles and value.


    Diana discusses how AI represents a broader cultural and behavioral shift, similar to past transformations like Agile and DevOps. Through examples like IBM’s Watson Health and UPS’s ORION system, she shows how success depends on involving people early, building trust, and continuously iterating. She emphasizes that the organizations that win with AI aren’t the ones with the best technology; they’re the ones that bring their people along.


    Key takeaways:

    • AI adoption is a people and culture challenge, not just a technical one
    • Involving employees early builds buy-in and reduces resistance
    • AI implementation should be iterative, not a one-time rollout


    Episode highlights

    (00:00) Intro

    (01:04) Lessons in change management in state government

    (04:11) Why networking is critical for growth and learning

    (07:04) Fear is the real adoption problem

    (11:37) Case Study: Why IBM Watson failed and UPS ORION succeeded

    (15:25) You can't automate your way out of bad data

    (20:59) People don't resist change, they resist being changed

    (25:54) Aligning teams and choosing the right use cases

    (27:37) The role of the CIO goes beyond IT

    (30:12) AI is a business initiative, not an IT project

    (34:28) AI success depends on adoption, not capability

    (35:49) Book recommendation: The Power of Habit


    Diana Williams on LinkedIn: https://www.linkedin.com/in/diana-agilecoach/

    Aaron Kopel on LinkedIn: https://www.linkedin.com/in/aaronkopel

    Explore Project Brilliant: https://projectbrilliant.com

    Buy Unlocking Momentum: https://a.co/d/hKPFqoS


    Show More Show Less
    38 mins
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