AI strategy assessment: is the AI real?
Every target now claims AI. We test whether it is real, defensible and valued correctly: our assessment separates AI that creates durable value from AI that is a wrapper around someone else's model, and shows what that difference means for the price.
Three levels of assessment
We evaluate AI integration, use-case relevance and technology efficiency across three levels of the organisation.
- Individual impact: generative applications, governance and controlled usage by the team
- Organisational impact: process enhancement and the reality of implementation
- Strategic integration: AI incorporated at design phase, and the innovation pipeline behind it
Defensibility and governance
The assessment answers the questions an IC actually asks: does the AI create a durable advantage or a dependency, what happens if a model provider changes terms, is usage compliant with current and incoming regulation, and does performance stay strong outside the demo.
Findings close with risk mitigation, compliance and investment-protection implications, validated by a senior expert.
Frequently asked questions
Whether the target's AI is real, defensible and governed: use-case relevance, integration depth, model dependencies, governance and regulatory compliance, and whether measured performance supports the claims.
Because AI claims now drive valuation. A wrapper around a third-party model with no data advantage carries a very different risk profile from a governed, integrated AI capability, and the price should reflect that.
Yes. We assess governance and controlled usage against current and incoming regulation, including EU AI Act readiness, and flag compliance gaps with their remediation cost.