Rebuilding Bitcoin at Scale: BSV, Teranode, and the “Million TPS” Engineering Reality

Enterprise AI strategy isn’t “give everyone ChatGPT” — it’s a top-down operating model, data discipline, and real execution. In this episode, we unpack what production-ready AI looks like from the inside: why so many companies are still “tinkering,” what blocks scale (security, governance, data access), and what a realistic path to value could look like as we approach 2026.

Through Ola’s experience across blockchain, AI, and enterprise delivery, we explore a recurring pattern we keep hearing from leaders: AI interest is everywhere, pilots are easy, but strategy is missing. We talk about why “AI for the whole team” is not an implementation plan, what executives should be asking at the start of the year, and how to move from scattered experiments to a coherent roadmap.

We also zoom into how relationships and trust shape transformation in practice. Ola shares why we’re organizing an executive AI dinner in Finland — a place where legacy clients, Nordic pragmatism, and real operational constraints meet. The goal isn’t hype: it’s to put decision-makers in one room, compare approaches, and discuss what “AI at the organizational level” means when risk, regulation, and data sensitivity are non-negotiable.

We then shift from strategy to reality: where AI adoption usually starts first (often sales and small efficiency gains), why security becomes the make-or-break factor for enterprise rollout, and what the “endgame” looks like — a unified knowledge base with AI running on top of it, seeing processes, documents, and internal context. It’s a powerful idea, but implementing it inside a 1,000–2,000 person organization is never a simple plug-in.

Beyond AI, we step into two worlds that shaped Ola’s perspective: an inside look at a fintech accelerator collaboration in Qatar and the experience of rebuilding Bitcoin infrastructure (BSV, protocol restoration, Teranode). These stories aren’t side quests — they explain why scalable systems, trust, provenance, and operational reality matter just as much as vision.

Throughout the conversation, we return to one question: what does it take to move from AI curiosity to production impact — without breaking trust, security, and governance?

In the final minutes, we close with a candid look at what it’s like to join our team, why autonomy and project variety matter, and how future clients (and future hires) can connect if they want to build ambitious products across AI, fintech, and blockchain.

🤝 Connect with Aleksandra:   / aleksandra-los-1423615b  
🤝 Connect with Przemysław:   / przemyslawkoper  
🏢 Work with Espeo Software: https://espeo.eu/contact/👥 Careers: https://espeo.eu/career/
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💬 Tell us in the comments: What’s your biggest blocker to production AI — strategy, security, data, or adoption?

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00:00:00 – Welcome + Ola joins the show
00:00:23 – Onboarding at SPL/Espeo: culture, “family vibe,” expectations00:01:22 – Who fits best: self-starters, autonomy, multi-background people00:02:14 – Project spectrum: blockchain, AI, legacy clients, new customers00:02:56 – Why an AI event in Finland (legacy relationships + Nordics)00:04:08 – The core issue: no top-down AI strategy
00:04:45 – “ChatGPT for everyone” ≠ AI implementation
00:05:10 – What leaders should ask: AI strategy for 2026 + ROI reality00:06:17 – Conservative industries: where AI starts (sales/lead gen first)00:06:43 – 2026 outlook: enterprise adoption, slower than hype
00:07:53 – The bottleneck: data security + production readiness
00:08:57 – The endgame: unified database + AI on top
00:10:18 – Qatar fintech accelerator: inside look + ecosystem dynamics00:11:03 – Fast growth vs “replica ideas”: where innovation is harder to spot00:14:22 – Are startups competitors to banks? (and why not always)00:15:08 – Rebuilding Bitcoin: BSV, protocol restoration, Teranode
00:17:20 – The “million TPS” moment + what it taught about scale
00:21:28 – Blockchain + AI: provenance, trust, and the deepfake era
00:25:13 – TrueMe: AI + consciousness + delivery via WhatsApp/Telegram00:29:34 – Resilience, overload, and why “calm nervous system” matters00:33:09 – Travel, discomfort, and perspective
00:35:49 – Closing + how to work with Ola / join the team