Enterprise AI needs interoperability and trust layers to scale

As companies move past pilots, they're discovering that isolated AI systems don't compound—they fragment governance, multiply compliance costs, and create vendor lock-in that kills agility. The competitive advantage lies in building modular architectures where AI components can swap in and out, paired with granular permission models that let business teams (not just IT) validate which data feeds which models. This creates accountability without strangling innovation. Enterprise software matured past monoliths the same way, except the stakes are higher: one unchecked model drift or hallucinated output can damage trust across an entire organization's customer-facing operations.