---
id: "action-implement-portfolio-governance"
type: "action-item"
source_timestamps: ["§ Seven Imperatives for Creating Diverse Agentic Teams"]
tags: ["board-governance", "risk-management"]
related: ["concept-model-portfolio-governance", "concept-correlated-ai-errors", "framework-seven-imperatives"]
action: "Establish board-level limits on the percentage of critical decisions relying on a single AI vendor."
outcome: "Mitigates systemic risk and prevents catastrophic correlated failures across the enterprise."
speakers: ["Mark Purdy", "Enver Cetin"]
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-new-28-agent-teams-different-models"
sourceUrl: "https://hbr.org/2026/06/the-strongest-teams-of-ai-agents-will-be-built-using-different-models"
sourceTitle: "The Strongest Teams of AI Agents Will Be Built Using Different Models"
---
# Implement Model Portfolio Governance

**Imperative 5 of the [[framework-seven-imperatives]]** (advocated by [[entity-enver-cetin]]).

**Action:** Elevate AI vendor-concentration risk to the **board level**. Establish a formal policy that **caps the percentage of critical agentic decisions** that can rely on any single foundation-model vendor (e.g., OpenAI, Anthropic, Google). Treat model dependency with the same rigor as financial portfolio diversification or critical-supplier concentration (see [[concept-model-portfolio-governance]]).

**Outcome:** Mitigates systemic risk and prevents catastrophic [[concept-correlated-ai-errors|correlated failures]] across the enterprise.

**Enrichment validation:** Consistent with emerging AI-risk/assurance best practice — PwC highlights governance frameworks, layered accountability, and continuous monitoring; the portfolio-diversification analogy is common in AI-governance commentary. Not yet a standardized board practice, but fits evolving guidance on AI governance and critical-supplier risk.