01

Technology, data & AI strategy

Enterprise roadmaps and target-state architecture, built into a board-level narrative that survives contact with implementation.

02

Data & AI architecture design

Five-plane target-state design spanning data products, security posture, the semantic and ontology layer, API access, and knowledge graphs.

03

AI readiness assessment

An honest evaluation of governance, data quality, and platform maturity before committing capital to AI initiatives.

04

Fractional CDAO advisory

Embedded executive support for organizations that need data and AI leadership but aren't ready for a full-time hire.

05

Platform & vendor selection

Objective evaluation of governed data platforms versus custom build, grounded in what your team can actually operate.

06

Governance & semantic layer design

Ontology, knowledge graph, and governance frameworks that resolve conflicting definitions before they reach an AI model.

Not sure which fits?

Most engagements start with a short conversation about where the current initiative is stuck.

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