Investment & transactions

Buy-Side AI/ML Technical Due Diligence

Bringing AI and architecture insight into a transaction.

AI and architecture input to buy-side technical due diligence: do the software and AI behind an investment case hold up?

Industry
Investment & transactions
Relevant work
Technical due diligence
AI/ML

The situation

Transaction teams need to understand whether the software and AI capabilities behind an investment case are credible and maintainable, or exposed to serious technical risk.

The specialist contribution

Dimitar contributed as lead AI architect. A specialist role and leading the whole diligence engagement are different roles.

Why this experience matters

It informs scoped architecture and AI investigation, the translation of findings into transaction implications and the need to agree wider lead-provider and specialist coverage explicitly.

The architecture lesson

Make the technical contribution and coverage as clear as the transaction question.

Dimitar Stoyanov was lead AI architect across a series of buy-side technical due diligence engagements before Sparkling was founded.

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