Distilled from 600+ real-world deployments across six industries
The World’s First Field-Proven Standard for Enterprise Agentic AI
From Orientation to Leadership — Your Path to Agentic Mastery
Every practice in the AEBOP field manual maps to one of six tiers, a structured path from early awareness to ecosystem-scale leadership.
Each tier closes a different class of failures, moving organizations from fragile prototypes to production-grade agentic systems, and members from knowledge to mastery.
For all AEI members – establishing shared language, principles, and mental models.
0.1 Agentic Engineering Definition
Origins of Agentic Engineering, the Eight Laws, and the discipline’s fusion of software, AI, and cognitive science.
0.2 Agentic AI Use Cases Across Industries
Case studies from healthcare, life sciences, finance, manufacturing, and other sectors — illustrating how agents evolve from fragile prototypes to engineered cognition systems.
0.3 Agentic Team Roles & Practices
Team archetypes and responsibilities across architecture, engineering, operations, and governance.
Agentic Engineer Certification Level 1 — Building safe, observable, and governed runtime systems.
1.1 Agent Runtime Environment (ARE)
Designing containment, lifecycle control, and runtime contracts for autonomous agents.
1.2 Agentic Security Engineering
Implementing identity boundaries, runtime policies, and trust fabrics that scale securely.
1.3 Agentic Observability Engineering
Making cognition visible, measurable, and auditable—“you can’t debug what you can’t see.”
1.4 Agentic Protocol Engineering
Standardizing agent-to-agent and agent-to-system communication; the wiring harness of trust.
1.5 Agentic Governance Engineering
Embedding guardrails, approvals, and in-loop policy enforcement across the runtime.
Agentic Engineer Certification Level 2 — Engineering cognition itself: perception, reasoning, and reflection.
2.1 Agentic Knowledge Engineering
Structuring, retrieving, and governing enterprise knowledge for cognitive accuracy and grounding.
2.2 Agentic Context Engineering
Designing layered context windows, saliency routing, and drift detection.
2.3 Agentic Memory Engineering
Building bounded, identity-scoped memory that sustains continuity without leaks.
2.4 Agentic Reasoning Engineering
Designing reasoning loops as control systems—planning, deciding, acting, and reflecting.
2.5 AI Model Engineering
Integrating and evaluating specialized models as reasoning components.
2.6 Agentic Orchestration Engineering
Coordinating agents, roles, and workflows into coherent, recoverable systems.
Agentic Architect Certification Level 1 — Designing full agentic systems and cognition ecosystems.
3.1 Agentic System Design
Translating cognition into scalable architectures; from loop to system.
3.2 Agentic UX Engineering
Human-in-the-loop design for visibility, oversight, and steering.
3.3 Agentic Integration Engineering
Connecting agents to enterprise APIs and systems of record with governed boundaries.
3.4 Agentic Cognition Engineering
Closing open loops across perception, reasoning, and action into adaptive cognition systems.
3.5 Agentic Trust Engineering
Building continuous trust fabrics that unify security, governance, and observability.
Agentic Architect Certification Level 2 — Operating intelligent systems safely and reliably at scale.
4.1 AgentOps Engineering
Running autonomous systems safely in production; observability, control, recovery, and cost discipline.
4.2 Agentic Quality Assurance (AQA)
Proving cognition is correct, compliant, and trustworthy—beyond model evaluation.
4.3 Agentic System Development Lifecycle (A-SDLC)
Embedding agentic practices into continuous delivery pipelines for safe iteration.
Agentic Leader Certification — Steering enterprise transformation toward AI-native operating models.
5.1 Agentic Product Management
Turning cognition into economic flywheels, moats, and measurable ROI.
5.2 Agentic Team & Organization Design
Defining how the five agentic team structures and their shared cadences turn human collaboration into governed intelligence.
5.3 Agentic AI Maturity Model & Operating System
Assessing and guiding organizational progression from prototype to platform-scale ecosystem.
5.4 AI-Native Transformation
Leading enterprises toward systemic intelligence—where agents form adaptive ecosystems.
Each tier builds on the previous:
Tier 0 → Shared Language
Tier 1 → Runtime Integrity
Tier 2 → Cognitive Capability
Tier 3 → Systemic Design
Tier 4 → Operational Resilience
Tier 5 → Strategic Leadership
AEBOP helps you climb this ladder through hands-on methods, field examples, and certification milestones that convert learning into measurable career advancement.
Explore Your Tier and Begin Your Path to Agentic Mastery
AEBOP is freely available to individual practitioners with active AEI membership, who are encouraged to apply it in real project work, strengthen their engineering capabilities, and help advance the emerging discipline of agentic engineering. Members may use AEBOP in their design, development, architecture, and advisory activities with proper attribution.
Required attribution:
“AEBOP is developed and maintained by the Agentic Engineering Institute (AEI). Used with permission.”
Organizations that wish to scale AEBOP across teams, embed it into products, deliver AEBOP-based services, or use it for structured internal training must obtain the appropriate AEI Partnership tier to ensure alignment, governance, and responsible adoption.
For full terms, please see the AEBOP License Agreement.