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Shahin Nabavian, a computer scientist turned venture builder, has worked across operations, infrastructure, and transformation for the past decade. His experience includes a London-based financial startup, venture-building at Shell's maritime division, work at The Economist Group, and founding edtech startup Super Savvy Education. Now, he leads Team CMV (CentricMind Ventures), focusing on emerging technologies like infrastructure enabling companies to use LLMs effectively. Their main venture, Go-User, applies this to people services.

The conversation is important because much of what is called' AI adoption' is actually just deployment without ROI. Shahin has observed companies of all sizes misusing chatbots, wasting tokens, and ending up with chaos. He can also explain why this happens in simple language. If your company earns $ 3m-$50 M and you're exploring AI's ROI, this episode is for you.

Topics Covered

• Why company culture beats company size in AI adoption. Why The Economist Group made more progress than expected, and why Shell's scale became a hindrance, not an advantage.
• The real reason AI ROI is missing. It's not the models. It's not the agents. It's the infrastructure layer beneath them — and most companies haven't built it.
• Every company needs a brain. What Shahin means by "AI brain," why generic RAG implementations fail, and what a librarian-style routing layer actually looks like in practice.
• The evolving role of the founder and CEO. What AI takes off the executive plate, what stays uniquely human, and why "purple unicorns" — operators fluent in both business and tech — become the default hire.
• Why Kodak and Blockbuster aren't technology stories. Shahin's view on Board dynamics, shareholder pressure, and the kind of CEO incumbents actually need to bring in to survive a platform shift.

Key Insights

1. The bottleneck isn't intelligence — it's plumbing. The models and tools are well-developed, but most organizations still need a way to understand how their business actually operates. This way, the AI can direct questions to the right source instead of randomly searching through every connected system.
2. Engineering-led AI initiatives consistently underdeliver. Starting a transformation by focusing on tools instead of clear service goals can cause a lot of manual work, higher costs, and confusion for users. It's better to start by understanding what the business wants to achieve and then plan the system around that.
3. Transformation is a challenge for the Board before it becomes a tech issue. Most CEOs don’t stumble because the technology is too complex; instead, they often face pressure from shareholders demanding faster results than are realistically achievable. To help overcome these hurdles, companies might consider bringing in a CEO from outside the industry, pairing them with a COO who understands the current business well, and giving them the freedom to learn from mistakes along the way.

Links

• Shahin Nabavian on LinkedIn: https://www.linkedin.com/in/nabavian/
• Future Ventures: https://ca.linkedin.com/company/future-ventures-corp
• Future Ventures Forum: futureventures.ca/community

About the Guest

Shahin Nabavian is the Founder of Go-User and a co-founder of Team CMV (CentricMind Ventures), where he builds AI-native systems for fast-growing companies. He holds a PhD in computer science and has spent over a decade building and supporting ventures across financial services, energy, publishing, and education — including work with Shell and The Economist Group. His current focus is on the infrastructure layer that turns organizational data into something AI can actually reason o