The first phase of enterprise AI focused heavily on models.
Which system could write better?
Which assistant could answer questions more accurately?
Which model was more capable?
Those questions still matter.
But a different challenge is emerging.
How do intelligent systems work together?
Most business processes do not happen inside one application.
Information may begin in email, move into a CRM, trigger a finance workflow and eventually create a report somewhere else.
An intelligent assistant limited to one system can help with individual tasks.
A connected system can potentially help coordinate the entire workflow.
That is a much bigger opportunity.
It also creates bigger responsibilities.
AI systems that can access multiple applications need clear permissions.
Organisations need auditability.
Sensitive information must remain protected.
Humans should understand when an automated system is acting and what boundaries exist.
This is why interoperability cannot be separated from governance.
The most useful enterprise AI may not necessarily be the model with the most impressive demonstration.
It may be the system that securely connects to the right information, understands context and helps complete real work.
The future of AI will not only be about intelligence.
It will increasingly be about coordination.