Reflections from the Strixus editorial desk: As the team that reviews every executive submission, we’ve watched AI move from buzzword to boardroom imperative. The leaders publishing on Strixus don’t chase hype—they build in a clear, logical sequence: first reframe your mindset, then plan deliberately, assess risks, govern tightly, skill your people, and finally scale with humanity at the center. Here are 12 immediately actionable strategies drawn straight from their recently published articles. Each block groups insights from one executive so you see the progression without repetition.
1. Manage attention like untaxed capital
Treat attention as your most valuable, compounding asset. In an AI world where visibility multiplies faster than traditional capital, deliberately invest it in long-term outcomes (talent, partnerships, company building) instead of letting it leak on short-term noise. This mindset shift is the true first step before any tool is touched.
2. Adopt competitive certification for AI governance
Ditch one-size-fits-all regulatory monopolies. Let independent certification bodies compete to evaluate safety and performance. It accelerates safe innovation while still protecting the public—exactly the decentralized guardrail executives need before scaling any AI initiative.
Neel Somani
Founder, Eclipse
Neel Somani is an emerging leader in the world of AI and research. He is the founder of Eclipse, a pioneering Layer 2 blockchain platform that raised $65 million in funding, turning a bold idea into a cutting-edge reality. Before venturing into Web3, Neel was a quantitative researcher at Citadel, where he focused on commodities markets.
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3. Start with business pain points, not technology
Forget the latest model. Sit with your leadership team and map your biggest operational bottlenecks first. Only then layer in AI solutions. This grounds every subsequent decision in measurable business value rather than vendor hype.
4. Prioritize small, practical wins to build momentum
Skip the billion-dollar moonshots. Deliver quick, visible results that earn immediate trust across the C-suite. These early victories create the organizational buy-in required for larger transformations later in the journey.
Jason Wells
Founder, AI Dev Lab & Fractional Chief AI Officer
Jason Wells is the Founder of AI Dev Lab and a Fractional Chief AI Officer. He has led global teams as Senior Vice President of Digital Media Worldwide at Sony Pictures, served as CEO of Convirza, and most recently as Chief AI Officer at NOW CFO. Jason partners with leaders to turn AI into an advantage, using practical strategies that drive efficiency and lasting transformation.
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5. Establish clear AI governance principles now
Focus guardrails on functions (content generation, decision-making, cross-domain understanding) rather than specific models, and keep humans in the loop no matter how advanced the system becomes. Early governance prevents costly rework once AI is embedded.
6. Adopt a cross-functional, use-case-first approach
Tie every AI project to clean data and crystal-clear business objectives. Cross-functional teams from day one avoid both over-hype and under-delivery—the planning discipline that separates pilots that fizzle from those that scale.
Par Chadha
Founder, CEO and CIO, HGM Fund
Par Chadha is the Founder, Chief Executive Officer, and Chief Investment Officer of HGM, a family office. He also serves as Chairman of Exela Technologies, Inc. and is co-founder and owner of Rule 14, LLC. Through HGM, Par previously participated in director and executive roles in joint ventures with major financial and investment institutions.
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7. Run a department-by-department operational AI audit
Map exactly what data AI touches, which decisions it influences, where errors could hide, and who performs final review. This audit is the essential risk-assessment step before any deployment.
8. Always keep humans in the loop for final review
AI can sound convincingly correct even when it’s wrong. Mandate knowledgeable human oversight on every high-stakes output—especially in finance, HR, or compliance. This safeguard becomes non-negotiable once you move past pilots.
Ed Macha
President & CEO, Reliable Controls Corporation
Ed Macha founded Reliable Controls Corporation in 1999 with the goal of building the most trusted plant Automation and Commissioning company in the world. Since then, Reliable Controls has been a key partner to starting up some of the most important mining mega-projects in the US, Latin America, Canada, and beyond.
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9. Implement policy-driven scoping of permissions for every agent
Restrict each AI agent to only the exact data and operations it needs—no more. Policy-as-code enforcement at the architecture level prevents over-permissioning and builds trust at scale.
10. Test agents in simulation environments before production
Create safe templates that clients (or internal teams) can tweak, enable, or disable in simulated settings. This de-risks live deployment and reveals infrastructure impacts early.
Edwin Poot
Global CTO
Edwin Poot is a global CTO who partners with boards and CEOs to align technology with growth and M&A goals. He has led VC- and PE-backed companies through international expansion and platform modernization, building cloud-native platforms that support fast go to market and scale.
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11. Make prompting a core digital skill across your organization
Treat effective prompting as essential literacy, no different from reading or coding. Train every generation so AI becomes a lifelong assistant rather than a mysterious black box—the cultural foundation that makes every prior step actually work.
Mary Hubbard
Executive Director, WordPress
Mary is the Executive Director of WordPress, the open-source software platform maintained and supported by thousands of independent contributors worldwide. With 20 years of industry experience, Mary specializes in product development, program management, and organizational efficiency.
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12. Humanize AI before you scale it
First understand the emotions, behaviors, and real human needs behind your data. Only then design AI as an empathetic creative partner that builds trust from day one. This final human-centered step turns technical capability into lasting competitive advantage.
Tammy Soares
President, Launch by NTT Data
Tammy Soares is a people-first technology leader who serves as President of Launch by NTT DATA, where she drives customer experience and digital product innovation at the intersection of design, strategy, and engineering, with AI and innovation at the core of her approach to creating human-centered experiences.
