AI Briefing: Why Data, FinOps and the Right Model Make or Break Your AI

In this AI Briefing, Tom from Concept to Cloud covers what actually matters when you bring AI into an organisation built on legacy systems — and where most teams go wrong. We dig into three things you can't ignore: getting your data AI-ready (integrity, alignment and consistency — because garbage in still means garbage out), managing AI cost with a FinOps mindset, and choosing the right model for the right job instead of defaulting to the most powerful (and most expensive) one. Concept to Cloud helps organisations modernise legacy systems and data so they can leverage AI effectively and cost-efficiently. Get in touch to talk about your AI enablement. ⏱️ Chapters 0:00 Welcome back — who is Tom & Concept to Cloud 0:37 Leveraging your existing data, systems & apps in an AI world 0:59 Why data is key: integrity, alignment & "garbage in, garbage out" 1:53 AI FinOps: understanding what tokens really cost you 2:16 Right model for the right job: Opus vs Haiku & optimising spend #AI #FinOps #DataEngineering #LegacyModernisation #AIBriefing #ConceptToCloud