Build Vs Buy

The build versus buy decision determines whether an organization develops AI systems and capabilities in-house or acquires them from external vendors. This choice significantly impacts governance frameworks, as internally built systems require dedicated oversight infrastructure and responsibility chains, while purchased solutions shift certain compliance obligations to vendors and introduce third-party risk management needs. Organizations must evaluate this trade-off across security, cost, compliance, and control dimensions to establish appropriate governance models for their AI deployments.

1 item

ResearchGlobal2026-07-14

Gated AI Governance at Scale: A Case Study in Executive Oversight, RACI Accountability, and Build-vs-Buy Decision Frameworks

THIS IS ORG has published a case study documenting how one enterprise moved AI governance from ad hoc experimentation to a structured, scalable operating model. The organization established an AI Transformation Council for executive oversight, introduced a gated process to move use cases from concept to funded deployment, and applied a proprietary Risk Assessment Framework covering security, ethics, and business value. The case study presents a replicable model including a RACI accountability structure and defined Build vs Buy decision pathways.

AI governance AI Transformation Council gated process RACI accountability build vs buy risk assessment framework enterprise AI governance executive oversight