AI is now everywhere. But assurance is what makes it valuable.

Johann Desemery
il y a 1 jour
2 min de lecture

We’ve reached a moment where AI is no longer a frontier technology — it’s infrastructure.It’s embedded in tools, platforms, and workflows across every business function.From ERP to analytics, from HR to procurement, AI is everywhere.

But ubiquity is not the same as mastery.And this is where assurance comes in.

1. The illusion of capability

AI has become the new electricity of enterprise technology — abundant, powerful, and seemingly simple to plug in.But in practice, what we see in the field is quite different:

Companies adopt AI faster than they can secure or govern it.
Models multiply, but alignment with business outcomes remains vague.
Proofs of concept succeed; scaled deployments stall.

The gap between potential and performance is not a question of technology.It’s a question of assurance — of control, governance, and delivery discipline.

2. Assurance as the new foundation of value

Assurance doesn’t slow innovation; it anchors it .In the context of AI, assurance means ensuring that:

The data that feeds intelligence is consistent and governed.
The outcomes of AI agents are explainable and traceable.
The deployment of AI features across ERP, finance, or supply chain follows a coherent delivery model.

In other words, assurance transforms AI from a collection of clever features into a sustainable operating capability.It’s the difference between “doing AI” and “running on AI.”

3. The coming era: Enterprise AI programs

What we’re witnessing at Oracle AI World and across the ecosystem isn’t just a wave of new products — it’s the birth of Enterprise AI programs.These are no longer IT projects. They’re transformations of how enterprises decide, execute, and measure value.

And just like ERP once needed integration and governance, Enterprise AI needs assurance — frameworks that link ambition with control, speed with structure, and intelligence with accountability.

This is precisely the space RedShift operates in: helping organizations ensure that the promise of AI translates into measurable, governed outcomes.