AI Value & Risk Assessment

Software Due Diligence

Our AI Value & Risk Assessment helps you separate real, defensible AI value from marketing-driven illusions; all fluff, no substance. YieldDD examines the substance behind AI claims in software-driven companies to reveal what truly drives performance, scalability, and long-term business impact.

Value driver or liability?

AI increasingly influences how software-minded companies, from early-stage scale-ups to mature SaaS platforms, are valued. AI can be a differentiator, even the main value driver, but it can also be a liability or a buzzword that hides limited substance.

AI may sit at the core of the product offering, be embedded in internal decision-making, or drive development velocity through AI-assisted tooling. Each dimension affects enterprise value differently.

Investors need clarity: where does the value come from, where do the risks lie, and what potential does it bring?

You need to know the answers to critical questions:

Is the AI genuinely impactful, or primarily marketing language?
What is happening under the hood – is the AI proprietary, fine-tuned, orchestrated, or primarily API-based?
Does the AI justify a valuation premium?
How does it compare to alternatives or industry standards?
How dependent is the organization on external AI providers such as OpenAI, Anthropic, or similar platforms?
Is the AI scalable, integrable, maintainable, and reliable?
How is AI used within development processes (e.g., AI-assisted coding, testing, DevOps), and what does this mean for code quality and knowledge concentration?
Are there hidden risks in data quality, model behavior, compliance, or IP?
Does the AI support the company’s roadmap and long-term strategy?

Understanding these dimensions turns uncertainty into insight. It ensures that the perceived value of AI aligns with its real-world contribution, now and in the following years.

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A clear view on real AI capability, value and exposure

YieldDD assesses how AI is used across the full software landscape of the company. We can review all AI components within the organization or focus exclusively on the AI applications and features that form the core of the business. Our service is flexible and tailored to the relevance and impact of AI within the target.

A key part of our assessment is understanding whether the company is AI-enabled or AI-native. This distinction influences dependency, defensibility, and the extent to which enterprise value is genuinely rooted in AI performance. We examine:

The actual AI capabilities and how they work in practice.
Architecture and orchestration: how AI components interact with external APIs, data sources, and internal systems.
Data pipelines, data quality, governance, and constraints.
Dependency on external foundation models or AI service providers.
Model behavior, performance, reliability, and limitations.
Scalability as the business grows.
AI maturity across teams, workflows, and architecture.
AI usage within development tooling and its impact on maintainability and knowledge risk.
IP position, defensibility, and long-term sustainability of the AI approach.
The potential contribution of AI to competitive advantage and enterprise value.

This provides a realistic, unbiased, and context-driven view of where AI creates value, or not. Both now and after the transaction.

We don't just report – we interpret and guide

Our work doesn’t end with technical findings. It begins there. We go beyond the data to show what it means for your business and strategic direction. Our insights are always tailored to your context, your use cases, and your goals.

Our AI Value & Risk Assessment can be performed as a standalone service or as part of a broader Software Due Diligence. In both cases, we translate our findings into insight that clarifies the real value, risk, and potential of the AI capabilities under review. You’ll know exactly what you’re investing in – or selling – and what to expect moving forward.

In other words, an assessment designed to be used:

Executive summary – A concise and decision-ready overview of AI value drivers, key risks, and opportunities.
AI findings and insights – Detailed analysis of model logic, data flows, architecture, behavior, and dependencies.
Maturity mapping – Scoring and qualification of AI performance, reliability, governance, scalability, and long-term sustainability.
Comparative perspective – Insight into how the AI approach aligns with industry standards, alternatives, and market practice.
Actionable recommendations – Clear guidance for improvement, remediation, or further development tailored to the company’s specific context.

You will be in the hands of our expert team based in the Netherlands. Our specialists combine deep software and AI expertise with strong communication skills, ensuring that complex AI realities become understandable and can be aligned with business value and investment strategy.

With YieldDD, AI becomes tangible, measurable, and ready to inform any decision, whether as a focused assessment or as an integral part of a larger due diligence effort.