A conversation with CIO News about why observability—the ability to explain the "why"—is the true key to unlocking trust and driving the next wave of AI adoption.
What is the biggest barrier to deploying truly autonomous AI systems at enterprise scale? Is it the processing power? The cost? The scarcity of talent?
In my experience, it’s none of those. The greatest challenge—and the most critical factor for success—is trust. And the only way to build trust is through observability.
This ability to answer the "why" is the foundation upon which everything else is built. It’s how you satisfy regulators, how you build confidence with clients, and how you empower leaders to make informed decisions. Without it, even the most powerful AI agent remains a black box—too risky to deploy in high-stakes, deterministic workflows.
In the full interview, we also explore the move from simple bots to governed agents and the hidden complexities of system integration, but it all comes back to this central theme.
Trust is the ultimate currency in the age of AI, and observability is how we earn it.
Read the rest of our conversation here:
S&P Global's AI Lead On The Three Pillars for AI Success: Agents, Integration and Trust
Top comments (1)
The main point is that for enterprise AI, the biggest barrier isn’t hardware, cost, or talent it’s trust. Observability the ability to explain why an AI made a decision is key. It helps satisfy regulators, build client confidence, and let leaders make informed decisions. Without it, even the most powerful AI is too risky for critical workflows. Essentially, trust is the currency, and observability is how you earn it.