Data & Semantic Governance
An agent's output is only as trustworthy as the data underneath it. Five gates for the data itself, not what any single agent decides.
Who this pack is for
A data governance lead, an engineering director bringing a new agent or data feed online, or a risk lead accountable for whether an agent's outputs rest on a data foundation the organisation can actually stand behind.
Every agent's output rests on data that has to be defined, traceable, quality-checked, consistently labelled, and access-appropriate before anything built on top of it can be trusted.
What's in the pack
All five gates are built so missing or unclear information blocks the result rather than quietly passing it, each tested against every possible input combination. Every worked example follows the same data foundation, at a retail demand-forecasting agent, through five different points of failure, because in practice these gaps compound on the same feeds rather than appearing in isolation.
Confirms an authoritative, owned, shared, and versioned definition exists for a data entity before an agent is granted access to it.
Confirms a data feed's origin and full transformation path is tracked and reviewable, not assumed traceable because the pipeline looks orderly.
Confirms the terms describing metrics stay consistent across teams, catching near-identical labels that actually mean different things.
Confirms a defined minimum quality standard exists, the data currently meets it, and it's checked on an ongoing basis, not just once at onboarding.
Confirms an agent's access to a data table is approved for its stated purpose, and matches the table's sensitivity classification. Risk tier never grants access.
Does not assign an agent's risk tier, Agent Tiering / Inherent Risk Classification does that. This pack's Data Classification for Agent Access pattern checks a grant against the agent's approved purpose, not its risk tier. Does not build a data catalogue, lineage platform, glossary tool, quality-monitoring system, or classification scheme, each pattern confirms the right mechanism exists and defines what it should do, it doesn't build the mechanism. Does not adjudicate what a contested data definition or term should mean.
€499 / $599 / £449
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