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Enterprise AI Squad Model

Organize the smallest cross-functional team that can discover, build, adopt, and operate a meaningful improvement to a business workflow.

EXECUTIVE SPONSOR AI PORTFOLIO
Direction & investment Evidence & decisions ↑
ONE SHARED BUSINESS OUTCOME
DOMAIN SMEs AI ENGINEERING END USERS
PlatformSecurityDataArchitectureGovernance
DSMaps workflows, qualifies the problem, aligns stakeholders, and connects engineering decisions to business value and adoption.

How the model works

Deployment Strategist

Owns problem discovery, workflow mapping, stakeholder alignment, use-case qualification, and the link between delivery and business value.

Forward Deployed Engineer

Makes ideas testable through rapid prototypes, data access, integration, evaluation, and production engineering alongside real users.

Product / Business Owner

Is accountable for business outcomes, prioritization, SME access, workflow decisions, adoption, and value realization.

Domain and AI expertise

Domain SMEs define what correct work looks like. AI engineers contribute specialist model and agent expertise when the product requires it.

Enabling functions

Platform, security, data, architecture, and governance provide reusable capabilities and proportionate guardrails. Portfolio leadership supplies direction and investment.

All field notes
Operating Model

How to Establish an Enterprise AI Squad

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Operating Model

Deployment Strategist vs Forward Deployed Engineer

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Operating Model

Centralized vs Federated AI Operating Models

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