Darren Kian

AI & Data Strategy Practice

We design the operating model. Then we build the thing it governs.

Darren Kian advises enterprise teams on AI and data governance, and ships the pipelines, platforms, and agentic systems that operating model actually has to run on. Most advisory work stops at the framework. This practice also writes the code the framework would need to review.

Experience behind the practice

years leading enterprise data & AI governance programs
12+
years leading enterprise data & AI governance programs
pipelines migrated in a single platform program
7,500+
pipelines migrated in a single platform program
annual value from one governance automation build
$1.0M
annual value from one governance automation build
largest cross-engagement team led at once
27
largest cross-engagement team led at once

What the practice does

Two disciplines, one team

AI & data governance operating models

Design and stand up the frameworks that make an enterprise AI or data platform auditable — lineage, quality, access, compliance — built to be used, not filed. Includes hands-on platform governance (Unity Catalog, Purview-style metadata and lineage tooling).

Data & AI platform strategy

Build-vs-buy calls, migration roadmaps, and architecture decisions for Snowflake, Databricks, and Azure/AWS data platforms. The kind of call that's expensive to get wrong at enterprise scale.

Agentic AI systems, built not just advised

Hands-on delivery of agent infrastructure: MCP tool servers, agent-to-agent payment protocols, and Claude-native application logic. The practice ships the same category of system it advises on.

How this practice works

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