Transform fragmented enterprise AI into coherent, governed cognition. This 3-hour hands-on course teaches Agentic Cognition Engineering (ACE): how to design integrated systems that think, act, and learn as one through contracts, observability, and control. Built for architects shipping adaptive, reliable AI at scale. Aligns with AEBOP T3.4.
AEI members save 20% with code MEM_C16_20.
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.
Moving from principles to practice, this module delivers the core architectural patterns for building cognition systems that maintain coherence under production pressure. You'll learn to design and enforce integration contracts that guarantee timing synchronization, policy propagation, and reflection continuity across distributed components. Each pattern includes trade-off analysis for scale, latency, and governance requirements.
Through pattern selection matrices and enterprise case studies, you'll architect solutions for multi-domain coordination, regulatory compliance, and self-tuning systems. The module includes migration blueprints for incrementally transitioning from fragmented to integrated architectures without business disruption, ensuring practical implementation pathways for complex enterprise environments.
Intelligence requires observability, not just operation. This module shifts from design to operational excellence, focusing on the three essential dashboards every cognition system needs: closure, compliance, and continuity. You'll implement governance patterns that embed policy enforcement directly into runtime flows, moving from checkpoint audits to continuous verification.
Architects will learn to design escalation frameworks that balance automation with human oversight, creating systems that self-correct when possible and escalate when necessary. Through red team exercises and audit simulations, you'll harden your architecture against real-world failure modes while maintaining the agility needed for adaptive intelligence in production.
Scaling cognition requires organizational strategy as much as technical architecture. This module provides the maturity framework and organizational patterns for transitioning from pilot projects to enterprise platforms. You'll assess your organization's current cognitive maturity and design the next evolution of capabilities, balancing quick wins with strategic platform development.
Through architecture reviews of real-world systems across industries, you'll extract scaling patterns and anti-patterns. The module addresses team topologies, cost allocation models, and vendor strategy for cognitive systems, culminating in a personalized 90-day implementation plan. Architects will exit ready to lead not just technical implementation but organizational transformation toward coherent intelligence.