Independent AI audit
An independent assessment of where your organization really stands with artificial intelligence. No technology to sell, no conflicts of interest — just the truth about where you are and how far you can go.
What is an AI audit?
An AI audit is a systematic assessment of where your organization stands with artificial intelligence: what you have, what you're missing, where you're losing money by not automating, and where the risk of implementing AI outweighs the benefit.
Unlike consulting firms that sell technology, AIRES – AI Research & Engineering Studio has no stake in you buying any particular product. Our audit report is independent and may contradict what your usual vendor has told you.
What we assess
The quality, governance, accessibility, and untapped value of your current data.
The 5–10 processes with the highest potential ROI from automation.
A review of the AI tools you already have: actual usage vs. licenses paid for.
Knowledge gaps and the skills to build for effective adoption.
Compliance with the EU AI Act, GDPR, and applicable industry regulations.
AI opportunities ranked by financial impact and implementation complexity.
Where it fits in DALIA
The audit is DALIA's fieldwork tool: it produces the evidence the first two phases are decided on. In D · Diagnosis, it captures the real state of your processes, data, and technology; in A · Analysis, it puts numbers on each opportunity — cost, impact, payback period, and risk — so the decision to invest is no longer a hunch.
It's a project with a deliverable and an end date, not ongoing support: our advisory service interprets your maturity and supports the decision over time, while our strategy service covers all five phases and governs adoption through to scale.
The audit, phase by phase
Stakeholder interviews, a review of current processes, and an analysis of the data available. No generic questionnaires — questions specific to your industry.
Stack analysis, benchmarking against comparable companies, and ROI modeling for the use cases identified.
An executive report with an AI maturity score (on a 1–5 scale), a prioritized opportunity map, and a risk analysis.
An action plan with KPIs, owners, an estimated budget, and success criteria for each initiative.
Who is it for?
The AI audit is designed for companies that want to make informed decisions about AI without relying on the opinion of technology vendors with commercial interests.
It's especially useful if your company has already invested in AI and isn't seeing the expected return, or if you're considering a significant investment and want to validate the plan before you commit.