In this NaNTalk, Daniela and Matías explore one of the biggest challenges enterprises face today: moving from AI pilots to real adoption. As NaNLABS prepares to sponsor the 0111 CTO Conference in San Diego, this episode takes a deep look at what it really takes to roll out AI at scale: from choosing the right tools to building the trust, policies, and alignment that make adoption stick.

✅ Why AI adoption often stalls after the pilot phase
✅ Empowering teams beyond tools: the human side of rollout
✅ “Technology doesn’t fail — rollouts do”: what that means in practice
✅ The rise of AI governance and why every company needs a policy
✅ Technical foundations for successful enterprise AI systems
✅ One piece of advice for CTOs planning their 2026 AI strategy

In this episode, Matías, CEO of NaNLABS, unpack the “GenAI Divide.” MIT’s 2025 report revealed that 95% of enterprise AI initiatives stall before delivering value. So what separates the 5% that succeed? From workflow integration to shadow AI, we explore why most pilots fail, what winning teams do differently, and how enterprises can embed AI into real business transformation.

✅ Why 95% of projects stall in pilots & demos
✅ The “integration cliff” and shadow AI economy
✅ What the 5% winning companies do differently
✅ LLM limits vs. Small Language Models & agentic AI
✅ First steps for CTOs to move from pilot to production
✅ GenAI opportunities in EV charging & automotive

In this episode, Matías, CEO of NaNLABS, unpacks the hidden cracks that appear when Charging Point Operators (CPOs) scale from a few thousand chargers to 30,000+. Legacy OCPP stacks, monolithic backends, and brittle data pipelines start to collapse under the pressure—long before AI can deliver value.

Learn what tends to break first, how to future-proof without a full rewrite, and what “AI readiness” really means when scaling EV infrastructure for the next decade.

✅ Scaling challenges: OCPP, sockets & monoliths
✅ Load testing & stress simulations at scale
✅ AI readiness through clean, streaming data pipelines
✅ Smart abstractions: adapters, proxies & modularization
✅ Lessons from high-growth CPOs in Europe & the US

In this episode, Matías, CEO of NaNLABS, goes under the hood of AI in EV charging to reveal the real make-or-break factor: data infrastructure. While many Charging Point Operators rush to add AI features, the truth is that poor data foundations kill performance before models even get started.

Learn why AI readiness starts with real-time telemetry, multi-source data fusion, and robust orchestration—and how future-proof architectures are enabling predictive maintenance, dynamic pricing, and even AI copilots for operations.

✅ Real-time telemetry ingestion & normalization
✅ Multi-source data fusion (energy, weather, usage)
✅ AI readiness: clean, connected, actionable data
✅ Modern, cloud-native architectures for scale

In this episode, Matías, CEO of NaNLABS, explores how 2024 became the tipping point for agentic AI, moving from proof-of-concept demos to real-world systems powering EVs and beyond.

Learn how next-gen agents, real-time decision-making, and GenAI frameworks like LangGraph and GenUI are transforming how we build, deploy, and scale intelligent systems, from Charging Point Operators to fintech and cybersecurity.

✅ Real-time agentic decision-making
 ✅ Dynamic pricing for EV charging
 ✅ LangGraph & GenUI in production
 ✅ Cross-industry adoption beyond mobility

In this episode, Matías, CEO of NaNLABS, joins host Daniela to explore how Charging Point Operators (CPOs) can move from siloed, fragmented data systems to real-time, event-driven architectures.

Learn how smart data strategies lead to faster decision-making, better customer experiences, and built-in compliance from day one.

✅ Real-time architecture
✅ Unified data platforms
✅ Compliance by design
✅ GenAI & automation potential