Any SME that is struggling with unreliable data, multiple disconnected tools, inefficient pipelines, high maintenance costs, lack of data quality or visibility. If your team spends too much time cleaning, fixing data, or you don’t trust your reports, the audit can help you simplify and modernize.

AI Discovery combines evaluating your data health + readiness with identifying real use-cases, assessing feasibility (cost, risk, privacy), and creating a pilot roadmap. It’s more than brainstorming: it’s a concrete plan with architectural options and success metrics.

No. We work with a range of maturity levels. If you have fragmented systems, legacy tools, or even just spreadsheets, we’ll map what you have, see what needs improvement, and tailor recommendations to what’s feasible and high impact for you.

The Data Infra Audit takes about 2-3 weeks, and AI Discovery about 3-4 weeks. From your side, we’ll need access to your data systems, key documentation, and stakeholder interviews / workshops. We aim to minimise disruption.

You’ll receive a detailed report: current state of your data infrastructure, pain points, cost/risk assessment; a clear roadmap for modernization (for audits), or use-case prioritisation, pilot plan, risk & feasibility analysis (for AI Discovery). Plus, estimates for timelines & costs.

Data security is foundational. We follow best practices: encrypted transfers, restricted access, privacy risk assessment, compliance with relevant laws/regulations. If needed, we can work under NDAs and adapt to your internal security policies.

We establish success metrics up front: things like improvements in data quality, reduction in operational costs, number of validated AI use-cases, pilot performance, or time to insight. After delivery, we’ll compare to those benchmarks.