Most enterprise AI initiatives fail not from model deficiencies but systemic fragmentation. This module provides architects with the economic framework and diagnostic tools to quantify the hidden costs of open cognition—latency debt, trust erosion, and integration tax. Through real enterprise case studies, you'll learn to identify when cognitive fragmentation is undermining your AI ROI and build the business case for integrated approaches.

Architects will exit with a stakeholder engagement strategy and readiness assessment framework. You'll gain a decision matrix for when to apply ACE principles versus conventional integration, plus a 3-12-36 month adoption roadmap tailored to enterprise constraints. This foundation ensures technical decisions align with business outcomes from day one.