APILama

Last Monday, I had the privilege of taking the stage at the GenAI Summit SE Europe. The energy in the room was incredible—a true convergence of innovators, builders, and visionaries looking to define the next era of technology. It was an awesome experience to share how we are tackling the realities of scaling AI in the enterprise.

For those who couldn’t make it, here is a recap of my talk on The Agent-Human Operating System.

The Problem: Why “Shallow AI” Fails

We are seeing a hard truth in the market right now: over 80% of enterprise AI initiatives never make it to production. This represents billions in wasted investment.

The reason? Most current implementations are “Shallow AI”. They rely on generic large language models that float on the internet, ungrounded from business reality. These systems lack the deep context and proprietary knowledge needed to drive real value , creating a “context gap” where the AI creates plausible but hallucinatory results.

Without verified knowledge, an AI agent is just an empty suit with no power.

The Solution: The Iron Man Architecture

To solve this, we need to rethink our approach. I like to use the Iron Man analogy. To build a superhero, you need three distinct components working in harmony:

1. The “Arc Reactor”: Our Knowledge Graph The power source of our system is the Proprietary Knowledge Graph. This isn’t a static database; it is a living, breathing intelligence layer that captures semantic relationships and evolves with every interaction. It provides the “truth” and context that generic models lack.

2. The “Suit”: The Agents The Agents are the mechanics. They excel at what humans struggle with: processing vast amounts of data at superhuman speeds, pattern recognition across millions of data points, and exhaustive scenario modeling. They calculate; they don’t decide.

3. The “Pilot”: The Human This is the most critical component. A suit is useless without a pilot. Humans bring what machines cannot: context, ambition, ethics, and the “why” behind decisions. We provide the judgment and strategic vision.

The Orchestration Layer

Bridging these elements is what I call the Agent-Human OS.

At the heart of our system is an orchestration layer. It takes complex human intent, decomposes it into manageable steps, queries the Knowledge Graph for verified facts, and synthesizes the results.

Crucially, this layer ensures Transparent Provenance. We don’t do black-box AI. Every recommendation comes with a reasoning chain and an audit trail, so the human pilot can trust and verify the output.

The Results: Building the Future Workforce

We aren’t just building software; we are reshaping the craft of knowledge work.

We launched a “Pilot Program” to train our teams not just on tools, but on strategic delegation—teaching them which tasks to give to the AI and which to keep for themselves.

The impact has been undeniable:

• 697 Customer Success Team members trained.
• 300+ Corporate members and executives trained.
• 93% of participants reported significantly higher confidence in using AI effectively.

The Verdict

We are entering the era of the Augmented Human.

The Knowledge Graph is the power. The Agents are the suit. But the Human is the Hero.

The technology amplifies our capabilities, but it never replaces our essential role. The question isn’t whether AI will transform business, but whether your organization will lead or follow.

Ready to suit up?