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· intervention · due diligence · tointelligence

AI assets are worth
what you control.

The target values its AI capabilities. But what dependencies lie behind? Once closing is signed, these questions become your problems.

· the problem

Traditional AI due diligence focuses on code and infrastructure. It misses the essential: strategic dependencies and regulatory exposure. What you are buying is a dependency trajectory. Not just an asset.

This reading can modify price, guarantees, closing conditions or the decision to sign. What you did not see before closing belongs to you after.

The three angles classic due diligence misses

1. Technological dependency assessment

Which AI vendors does the target use, under what contractual conditions, and what would migration cost if these conditions changed post-acquisition?

2. EU AI Act regulatory exposure

Are the target's AI systems classified as high-risk? Are compliance obligations met? What is the potential regulatory liability transferred to the acquirer?

3. Training data analysis

On what data were proprietary models trained? Are usage rights documented? Is there a litigation risk related to third-party data usage?

· deliverables

If the target has no AI systems integrated into its processes, this intervention is not needed.

What you did not see
before closing
belongs to you after.
· tointelligence

What you did not see before closing
belongs to you after.
Let's talk before you sign.

We produce the independent strategic reading of your target's AI assets before terms are locked.

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