PRACTICE · II · DATA & PLATFORM

Foundations, or it doesn’t ship.

Every agent is a thin layer over your data. The question isn’t which model can summarize a support ticket. They all can. The question is whether the customer record the model is summarizing is the right one, owned by the right system, and trustworthy enough to act on. The data foundation is what decides that.

We treat data foundations the way SRE treats availability: a budget, a measurement, and a clear stop condition. Lineage is documented. Quality has a number. Vector and RAG architecture sit on top of a schema you can defend in front of an auditor. Data contracts mean producers know what consumers depend on before a deployment can break it.

Roughly 80% of enterprise data is unstructured (IBM). We build a semantic layer of your business — your objects, actions, and permissions, modeled as entities agents can reason over and act on — on open standards, in your repos. Portable, versioned, yours. Ontology outcomes without ontology lock-in.

The platform underneath gets the same discipline. We modernize what needs modernizing, leave what works alone, and pick the cloud sequence by what the bill looks like at five years, not the sticker price this quarter.

ILineageDocumented flow, ownership, and quality budget across structured and unstructured sources

IISemanticsYour business modeled as entities agents can reason over — portable, versioned, yours

IIIRAGVector + retrieval architecture sized for the agent's job

IVContractsProducer / consumer schema contracts in CI, not in a wiki

VPlatformCloud sequence costed at year five, not at signature

Figure I: InteractiveStand 8 Tools · Data Maturity Assessment

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Six dimensions: governance, quality, architecture, security, analytics, team. Score where you actually are, see where the next agent is going to break, and read what to fix first.

On the platform
Pick a cloud the way you’d pick a building lease. For year five, not for the signing bonus.

Figure II: InteractiveStand 8 Tools · Cloud Cost Analyzer

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Compare AWS, Azure, and GCP across compute, storage, database, networking, and AI. The savings number on the right is the bill you don’t see if the platform decision happens by inertia.

START · THE DATA BRIEF

What does your data actually let you ship?

Take the Agentic Readiness Assessment to baseline data and platform alongside the other five dimensions. Ten minutes; the prioritized plan tells you which agents your data can actually support today.

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