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Executive guide

Chief AI Officer Operating Model: What the CAIO Needs to Run

A practical operating model for portfolio visibility, governance, economics, assurance and executive decisions across the AI estate.

Chief AI Officer · Executive Committee5 operating steps
01

Own the portfolio view

The CAIO needs a canonical view of material AI systems, investments, owners, risk, suppliers and outcomes across the institution.

02

Own the decision architecture

Define which material AI decisions belong at business, risk, technology or executive level and what evidence each requires.

03

Own value accountability

Connect AI investment to validated outcomes so the portfolio can be expanded, corrected or retired based on evidence.

04

Own institutional learning

Use incidents, assurance, research and Reality Curve evidence to update standards and investment posture.

05

Escalate decisions, not metrics

The executive control tower should surface the decisions leadership must make now, with evidence and economic context attached.

Implementation note

This guide provides an operating structure. The specific controls, authorities, legal interpretations and assurance requirements should be adapted to the institution, use case and jurisdiction.

From guidance to operating control

Put this operating model into practice.

Cybatar connects AI inventory, policy, accountable decisions, evidence, assurance and economics so governance can operate continuously rather than live in disconnected documents.