OnAIr: Technical Due Diligence. Capital seeks clarity.
- Stefan Böhme
- 5 days ago
- 3 min read
A conversation with Ralph (CEO), Stefan (CDO) and Klaus (CISO), moderated by our OAK AI host Nina Brewer.
Capital seeks clarity. And instead, it increasingly finds AI buzzwords, overly optimistic roadmaps, and architectures that only work under laboratory conditions.
As valuations rise and regulatory pressure increases, uncertainty grows: Which startups possess genuine technological substance? And which ones only live off good storytelling? Which architectures are scalable , and which collapse under the first real load?
Technical due diligence is no longer a compliance ritual, but a strategic one. Investment filters . Those who only look at product, market and team today overlook the biggest value destroyers : technical debt, security vulnerabilities, lack of governance, black-box AI and dependencies that sabotage any scaling.
This is precisely where OAKAI comes in. With a technical due diligence that separates substance from storytelling, governance from luck , and scalability from hope .
About risks that only become apparent when things get expensive. Clarity instead of hype.
Nina: Ralph, for many, technical due diligence sounds like a mandatory task. Why is it suddenly a strategic lever in 2026?
Ralph: Because technology no longer supports, it decides. A poor codebase, lack of governance, or unclear data flows are no longer IT risks; they are valuation risks . Anyone who invests without knowing the technical truth is buying uncertainty. And uncertainty is the most expensive element in any deal.
Nina: For many, governance sounds like bureaucracy. Why is it so crucial in TDDs?
Klaus: Because governance is the only guarantee that technology will work repeatably . Without governance, every AI function is a fluke. Good governance creates reliability. And reliability is at the heart of every evaluation.
Nina: NIS2 is currently causing some nervousness. What does that mean for investors?
Klaus: NIS2 is a maturity scanner. It shows whether companies have control over their systems. For investors, this means: A target without clear security, logging, and incident management structures is not a bargain, but a time bomb . By 2026, NIS2 will separate professional organizations from improvised ones.
Nina: Stefan, how does AI change the way we assess technological risks?
Stefan: A good investment scales value, a bad one scales mistakes. Technical due diligence today must examine how a company learns, not just what it has built.
Nina: What is the one question every investor should ask?
Stefan: "What decisions does your AI make and who controls it?" If the answer is unclear, the risk is clear.
Nina: Klaus, now let's get practical. How can you tell if a startup is truly scalable – technically, not just commercially?
Klaus: Scalability is evident in architecture that can handle the load, in security that doesn't hinder growth, and in governance that prevents errors before they become costly. Many startups scale revenue but not control. This inevitably backfires, at the latest during the Series B audit.
Nina: You often talk about "sovereignty as a deal-breaker." What does that mean in concrete terms?
Stefan: Sovereignty is the new scalability . A company that can't manage, develop, or secure its own technology isn't independent. It's vulnerable. And dependency is the opposite of growth . Ralph: And without technological sovereignty, every business model is fragile, no matter how good the pitch. That simply makes it uninvestable for investors.
Nina: Klaus, you see the deepest technical layers in TDD projects. What are the biggest hidden risks?
Klaus: Most risks are invisible – until they become expensive. Our job is to make them visible before capital flows in. There are four categories that investors and VCs regularly underestimate: architectures that aren't exit-friendly; security vulnerabilities that only become costly at scale; NIS2 relevance that suddenly becomes a compliance burden; and AI risks that no one measures – model drift, lack of auditability, unclear data provenance. All of this affects valuation, scalability, and exit capability.
Nina: Ralph, one last question. Why do investors and VCs choose OAKAI?
Ralph: Because we don't evaluate technology. We evaluate future viability . OAKAI provides context where others only offer buzzwords. We show where value is created, where risks lie, and what is truly scalable. Our TDD isn't just a checklist item. It's an investment filter .
👉 Before any capital is invested, clarity is essential. Let's discuss it : info@oakai.de
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