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Articles tagged governance
8 articles about governance.
Why a semantic layer isn't enough for AI
A semantic layer defines your metrics. AI needs meaning that is governed, reaches the operation, and stays yours.
Connect once, not once per agent
Every agent you add has to be identified, authorised, networked and trusted, and then kept that way. You solve that once, centrally, or you turn it into a permanent job that grows with every agent you run.
Start with the spreadsheet that runs your company
A company brain does not need a finished data platform to prove its worth. It needs the one file your business already runs on, and the meaning around it.
An agent's bill is set before it runs
A customer interaction that cost four cents in 2023 now costs about $1.20. The token bill is the visible part; what an agent really costs is decided by the foundation it runs on.
What does AI Native mean?
AI Native does not mean you bought AI. It means your organization is set up so intelligence can do real work in it: definitions captured, data reliable, decisions owned.
AI is not a miracle. It is craftsmanship.
AI does not fix chaos. What works is the order: processes first, then definitions, then trustworthy data. Only then does AI become the brain at the heart of your organization.
What is data architecture?
Data architecture is the layout that decides where data arrives, where meaning is recorded and where answers come from. Four layers, and the choices that recur.
What is a data mesh?
A data mesh puts ownership of data with the domains doing the work instead of one central team. What that buys you, and what to settle first.
Start with one decision that has to get better
Pick a recurring question where teams lose time or contradict each other. Make the meaning behind it explicit and bring it straight into daily operations.