Move beyond fragile AI demos to governed, scalable autonomy. Master the 6-dimension Agentic Maturity Model, install the operating system for continuous proof, and embed audit-ready control with measurable ROI. A 3-hour, hands-on course for engineers and leaders scaling agentic AI in production. Stop drift. Start compounding value. Aligned with AEBOP T5.3.
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Most agentic AI initiatives fail in production due to invisible fault lines—silent errors, cost creep, and governance gaps. This module provides the diagnostic tools to move from intuition to evidence. You will learn to use the Agentic Maturity Compass to score your current state across six critical dimensions and calculate your true Maturity Velocity.
We give you the immediate playbook to identify your top three blockers and contain the most critical risks within 48 hours. Through hands-on assessment templates and real enterprise case studies, you'll translate symptoms like "API call drift" and "unexplained decisions" into actionable, prioritized gaps. Leave with a quantified baseline and a heat map that reveals where to focus first.
Control requires engineered systems, not manual reviews. This module delivers the technical blueprints for implementing the core maturity dimensions. You will learn to deploy a governed Agent Runtime Environment (ARE), embed policy-as-code into your trust fabric, and build self-correcting cognition loops with measurable feedback utilization.
We move from theory to implementation with specific code patterns, architecture diagrams, and integration checklists. You'll configure the key metrics for containment, audit pass rates, and reasoning coherence. The lesson culminates in a unified dashboard design that ties operational stability to governance proof, ensuring every agent's action is traceable, enforceable, and economically justifiable from day one.
Control systems alone are insufficient without an operating rhythm to sustain them. This module introduces the Maturity Operating Loop (MOL)—a quarterly discipline that transforms governance from a project into a progression. You’ll learn to run a continuous cycle of assessment, prioritization, instrumentation, proof, and review, turning every operational insight into a systemic upgrade. This cadence prevents governance drift and ensures maturity compounds predictably over time.
You’ll also build your Execution Playbook, defining the specific cadence, roles, artifacts, and decision gates that keep governance in motion. The focus shifts from implementing controls to operating them at scale, integrating governance into existing agile and DevOps rituals. The outcome is a self-reinforcing system where progress is measured by closed capability gaps and improved velocity, enabling your organization to scale autonomy without increasing fragility or overhead.
The final challenge is institutionalizing maturity to avoid regression and sustain progress at enterprise scale. This module addresses the common anti-patterns—architectural, operational, and cultural—that derail even well-planned initiatives, providing a universal recovery pattern to diagnose, instrument, re-govern, and verify improvements. You’ll learn to spot traps like feature fever, metric myopia, and speed worship before they erode trust or explode costs.
Crucially, this module bridges the gap between technical execution and executive leadership. You’ll design practices to integrate maturity metrics into quarterly OKRs, tie governance performance to executive incentives, and embed maturity dashboards into board-level risk reviews. The goal is to transition maturity from an engineering framework to a management system, making governed autonomy a measurable, sustainable competitive advantage that compounds intelligence and trust across the organization.