Business leaders are under pressure to “do something with AI.” But rushed pilots and vague roadmaps waste time and budget. You need clarity before commitment.
case study
We ran a fast-track audit for an SME ops team exploring AI. In under 2 weeks, we identified 6 viable opportunities — from automating intake triage to using NLP for form processing. No vague hype, just a clear, prioritised list with next steps.
Outcome:
case study
Lebara was facing regular SLA breaches due to brittle, monolithic data pipelines. We redesigned their architecture using a Data Mesh approach with Azure Data Factory and Synapse — simplifying the stack, improving resilience, and boosting trust in reporting.
Outcome:
Need to fix the plumbing before you automate the house?