The AI didn't lie; it just hallucinated a plausible answer.
A year ago, that was an acceptable excuse for a pilot program. Today, for CTOs, CIOs and Digital Transformation professionals in regulated sectors, it is a structural fragility. The EU AI Act has shifted the burden of proof from the user to the provider. Compliance is no longer an afterthought; it is a prerequisite for market access.
Standard Large Language Models (LLMs) prioritise plausibility over truth. In high-stakes environments, this creates Rogue AI, which are virtual agents acting like talented but unsupervised interns. Because these models lack an inherent world model, they can inadvertently promise unauthorised fee waivers or provide incorrect regulatory advice without any internal mechanism to trigger a correction.
To move from innovation badges to trusted enterprise systems, leaders are shifting to Composite AI. Gartner has identified this as a critical strategy to bridge the gap between generative creativity and operational rigour, moving it toward mainstream adoption on the latest Hype Cycle for Artificial Intelligence.
The solution lies in the decoupling of intent from execution. The LLM provides the conversational brain wrapped in a hard-edged deterministic layer.
If you stay with black-box AI, you risk regulatory scrutiny and brand erosion. Building a governed CX system starts by separating play from production. By replacing unpredictable bots with governed agents, you move toward an orchestrated CX system. This ensures every interaction is more than just a chat—it is a secure, end-to-end business process that protects your brand and delivers results.
Read the full analysis on the new standard for governed CX here.