Eunoia’s role in a Digitalise Your SME project is deliberately narrow. We work as a data and AI implementation partner rather than a funding consultancy, and we focus on the parts of the process our team can stand behind directly: finding a genuine operational problem, building the technical and commercial case for solving it, delivering the solution, and measuring the result.
That starts with an AI and data opportunity assessment, which looks at where automation or better data could produce a measurable operational return, whether that is hours saved through automations, fewer errors, or shorter reporting delays. From there, the opportunity becomes an implementation-ready technical and commercial case: a defined scope, an architecture, and a business case that holds up under a grant evaluator’s scrutiny as well as an internal budget holder’s.
The funding-specific steps, eligibility and state-aid checks, drafting and submitting the application, and managing claims and reimbursement with the Measures and Support Division, sit with a specialist funding adviser. Eunoia protects the quality of the technical work behind it.
Once a project is approved, Eunoia implements the solution and helps measure the outcomes the application promised. From a client project in the manufacturing sector, Eunoia’s team helped Toly centralise reporting across Dynamics CRM, Business Central and a legacy warehouse into a single governed platform, moving the business from weekly to daily reporting, the kind of measurable baseline a funded digitalisation project can be built around. However, the number of use cases is not limited to data platform. It is defined based on the results of the AI and Data opportunity assessment. For more case studies, follow the link: Eunoia’s case studies.
Relevant certifications back up our expertise directly. Eunoia was among the first consultancies in Malta and Cyprus to become fully certified in Microsoft Fabric and achieve The Analytics on Microsoft Azure Specialisation, , Microsoft’s highest-level credential for data and analytics partners, alongside established work in Azure, Databricks and Power BI.