8 weeks8 modules46 lessons

The Agentic Enterprise

An Executive Program in AI-Driven Organizational Change

Autonomous AI agents are moving from demo to core operating capability, and the leaders who can direct that shift will define the next decade of their organizations. The Agentic Enterprise is a self-paced executive program that turns AI hype into a working operating model: how to evaluate the technology, cost it honestly, secure it, govern it, and lead the people through the change. You finish with a board-ready capstone plan for your own organization. This is an original, independently produced Ultra-Good program with no affiliation to or endorsement by any other institution.

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What you’ll learn

  • Build a shared vocabulary for modern AI so you can tell language models, multimodal systems, retrieval-augmented setups, and autonomous agents apart and know when each earns its keep. You will learn to connect specific AI capabilities to real business problems and to build an honest end-to-end cost model that weighs spend against expected value.
  • Develop a decision-maker's map of the agentic AI platform and framework landscape and learn to match a platform to sector-specific needs and constraints. You will weigh open-source against proprietary trade-offs in context and get hands-on taking an idea from prompt to a deployable landing-page mock-up, then package it as a plain-language workflow proposal.
  • Learn the integration patterns that connect an agent to the tools, APIs, and data already running your business, and how to spot the workflow where an agent would genuinely cut cost, time, or friction. You will practice writing a structured internal use-case proposal and designing an integration approach with clear-eyed treatment of risk, ethics, and success metrics.
  • Apply the NIST Cybersecurity Framework 2.0 functions to AI systems specifically and learn to find the gaps in access control, monitoring, incident response, and recovery that agentic workflows introduce. You will build a structured AI risk and security plan and reckon with agent-specific threats like prompt injection, agent-to-agent manipulation, and cascading failure.
  • Learn to frame organizational context and baseline a current workflow before you propose anything, so improvement can actually be measured. You will match AI technology to real capability needs across business functions, weigh single-agent, multi-agent, and human-in-the-loop architectures, and judge where automation creates the most value and where it doesn't.
  • Understand why most AI pilots stall before production and what the organizational last mile actually demands. You will learn to write three to five measurable KPIs that test whether a system is delivering its intended business outcome, sanity-check that those KPIs align with real goals, and summarize a system clearly enough for a non-technical stakeholder to sign off.
  • Learn to map GDPR, CCPA, and HIPAA obligations onto specific AI use cases and to analyze compliance and operational risk together. You will study testing strategies from sandboxing to A/B tests and pre-release safety checks, apply a risk-speed framework to decide how fast to move, and assemble a comprehensive governance plan, tested against a regulated-industry scenario.
  • Bring the program together: how AI creates real value when integrated strategically rather than bolted on, how to judge whether a technology fits a use case, and how to weigh cost, security, and operations as one decision. You will use a structured framework for ethical risk and the human factors behind adoption to build and present your capstone.

Syllabus

≈ 12 hours of material

  1. Module 1

    AI Fundamentals: Models, Reasoning, and Autonomous Agents

    • Why Agents, and Why Now12 min
    • A Working Taxonomy: Models, Retrieval, and Agents16 min
    • From Capability to Business Value15 min
    • Building an Honest AI Cost Model18 min
    • Module Knowledge CheckQuiz17 min

  2. Module 2

    Navigating the Agentic AI Platform Landscape

    • Mapping the Platform and Framework Landscape16 min
    • Open-Source vs. Proprietary: Deciding in Context15 min
    • Hands-On: From Prompt to Deployable Mock-Up20 min
    • Writing an AI-Enabled Workflow Proposal16 min
    • Module Knowledge CheckQuiz17 min

  3. Module 3

    Wiring Agents into Your Technology Stack

    • Agent-to-Tool Integration Patterns16 min
    • Finding the Right Workflow to Automate15 min
    • Designing the Integration: Systems, APIs, Data Flows18 min
    • Risk, Ethics, and Success Metrics15 min
    • Writing the Internal Use-Case Proposal14 min
    • Module Knowledge CheckQuiz10 min

  4. Module 4

    Securing Agentic Systems: Threats, Resilience, and Accountability

    • Applying NIST CSF 2.0 to AI Systems18 min
    • Finding Gaps in Access, Monitoring, and Recovery16 min
    • Agent-Specific Threats and Systemic Risk18 min
    • Accountability: Defining It and Enforcing It14 min
    • Building the AI Risk and Security Plan14 min
    • Module Knowledge CheckQuiz10 min

  5. Module 5

    Applying Agents Across the Business: A Function-by-Function Playbook

    • Framing Context Before You Propose14 min
    • Baselining a Workflow So You Can Measure15 min
    • Choosing Technology by Capability Fit, Not Hype16 min
    • Single-Agent, Multi-Agent, and Human-in-the-Loop16 min
    • Where Automation Creates Value, and Where It Doesn't13 min
    • Module Knowledge CheckQuiz10 min

  6. Module 6

    From Pilot to Production: Operationalizing AI Systems

    • Why Pilots Stall: The Last Mile15 min
    • Writing KPIs That Measure Outcomes17 min
    • Checking KPIs Against Real Business Goals14 min
    • Explaining the System for Stakeholder Sign-Off16 min
    • Module Knowledge CheckQuiz10 min

  7. Module 7

    AI Governance: Regulation, Risk, and Rigorous Testing

    • Mapping GDPR, CCPA, and HIPAA to Use Cases18 min
    • Compliance Risk and Operational Risk Together15 min
    • Testing AI Before Production17 min
    • A Risk-Speed Framework for Classifying Use Cases15 min
    • Building a Comprehensive Governance Plan16 min
    • Worked Example: Governance in Healthcare15 min

  8. Module 8

    Responsible AI Adoption and Your Capstone Project

    • Strategic Integration vs. Bolt-On AI14 min
    • Judging Fit and Weighing Trade-Offs Together15 min
    • The Human Factors Behind Adoption15 min
    • A Framework for Evaluating Ethical Risk16 min
    • Your Capstone: Brief and Rubric18 min
    • Synthesizing and Presenting the Capstone12 min
    • Module Knowledge CheckQuiz10 min