Everyone thinks the AI race is about models.

It’s not.

It’s about data integrity.

Since 2023, Salesforce has deployed $12B in acquisitions:

• ~$10B into data infrastructure
• ~$2B into the agent layer

That ratio tells you everything.

Why?

Because enterprise “truth” is a mess:

• Multiple versions of the customer
• Conflicting systems of record
• Permissions nobody fully understands
• Unstructured docs buried across drives
• Call notes trapped in tools
• Context locked inside rep brains

And yet companies think layering agents on top of that will magically fix it.

The real failure mode of AI agents isn’t intelligence.

It’s corrupted inputs.

An agent sitting on bad data is just a confident liar with permissions.

That risk scales fast.

So Salesforce is doing the unsexy work first:
Cleaning records. Normalizing systems. Reconciling data. Tightening governance.

The companies that win this cycle won’t have the flashiest demo.

They’ll be able to answer three questions every time:

Where did this data come from?

Can we trust it?

Can the agent act safely on it?

If you can’t answer those, you’re not deploying AI.

You’re accelerating dysfunction.

Before you spin up 500 agents, fix the foundation.

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