Architect knowledge
for intelligence
Driving accountability across domains so enterprise data is discoverable, understood, trusted, and AI-ready — powering both human decision-makers and autonomous agents.
A federated strategy to make every data product trustworthy by design — and ready for the age of AI.
How understanding is engineered
Data
The evidence
Metadata
The translator
Context
The missing ingredient
AI-Ready Enterprise Data
Trust · Discovery · Deterministic context
How we measure AI readiness
Quality
>95%
accuracy on critical reports
Coverage
100%
critical data elements governed
Readiness
10
AI-ready characteristics
Accountability
5
federated governance roles
Seven chapters, one federated story
From the pillars that define AI-readiness to the people, plan, and platform that deliver it — start anywhere.
The Foundation
The Three Pillars
Data, metadata, and context — governed as one, so AI is never confidently wrong.
Execution
The Roadmap
A multi-year transformation, sequenced for momentum.
Governance
The Council
The cross-functional body driving accountability across domains.
AI Readiness
Semantic Foundation
Controlled vocabulary → knowledge graph, via the ontology pipeline.
Tooling
Platform & Tools
A Snowflake-native core, an open ecosystem around it.
Operating model
Roles & RACI
Five governance roles — clear ownership, no ambiguity.
Go deeper
FAQ
Answers to the most common questions the governance strategy raises.
Become the catalyst
Ensure AI is fueled by data worthy of trust
The organizations that win the next decade will be defined by their governed data — not the flashiest models. Help shape Cisco's federated governance.
