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AI Projects

Your AI Project Needs 6 People, But You Only Have 2: Now What?

Implementing an AI system properly usually isn’t a quick or solo effort. It often takes a small, dedicated team working over several months. Data engineers handle the heavy lifting around cleaning and preparing datasets, while developers focus on building the integrations that connect the system to existing tools. Alongside them, business analysts translate real business needs…

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AI Implementation

Why Your AI Implementation Failed (And It Wasn’t the Technology’s Fault)

The post-mortem meeting follows a predictable script. Leadership blames the vendor for overpromising, and the vendor blames the client for not being ready, while the IT department blames both. Everyone has receipts and justification,s but nobody has a working AI system. In most failed AI projects, the technology worked fine, and the system did exactly what it…

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