
Featured article
AI Agentic Workflows and Governance
Most teams do not have an agent problem. They have a control problem. The first time an autonomous workflow looks impressive is usually the least important moment in the whole r...
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Field notes on AI workflows, BI architecture, analytics modernisation, and MCT-led training delivery. Written from practice, not from a content calendar.

Featured article
Most teams do not have an agent problem. They have a control problem. The first time an autonomous workflow looks impressive is usually the least important moment in the whole r...
Read more
What MCP actually adds to Cursor, and how I think about tool-connected AI workflows in day-to-day development.

A straightforward explanation of what MCP is for, why it matters, and where it becomes useful in practical AI-assisted workflows.

A practical view of where generative AI helps in BI work, where it still falls short, and why data quality still decides most of the outcome.
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The same topics show up in diagnostics, workshops, architecture reviews, BI advisory, AI workflow design, and MCT-led training for teams that want practical instruction rather than advisory reading.