Free AI-native foundations path
Use AI to redesign work—not just accelerate tasks
Build a practical foundation for AI-native work: distinguish adoption from transformation, design human and AI decision rights, treat agents as bounded teammates, and connect speed with quality, trust, and outcomes.
- Free · 10 lessons · final assessment
- Beginner
- ~97 min
- 10 steps
- Verifiable credential
Who this is for
- • Managers and team leads
- • Product, technology, and operations professionals
- • Change leaders responsible for AI transformation
What you'll be able to do
- • Distinguish AI tool adoption from AI-native transformation
- • Design human and AI decision rights according to risk and context
- • Explain the shift from isolated tasks to end-to-end workflows
- • Position agents as teammates with explicit boundaries and accountability
The central design question
Who should do what—and who remains accountable?
The path treats AI as part of a work system. Every automation choice is connected to an outcome, decision boundary, oversight model, and named human ownership.
- Work
- See the end-to-end workflow, not only the automated task.
- Decision
- Separate recommendation, action, approval, override, and escalation.
- Control
- Match oversight to consequence, volume, reversibility, and evidence.
- Learning
- Use quality, outcome, and balancing signals to adjust the design.
How it works
Move from isolated AI use to a coherent model of workflows, authority, governance, and learning.
01
Build the distinctions
Complete 10 short lessons that separate tool adoption, AI-native design, and agentic work.
02
Sketch one testable hypothesis
Use a local, ungraded five-question sketch to choose an outcome, flow boundary, complementary roles, risk, and first evidence signal.
03
Pass the final assessment
Answer 15 questions drawn from a 30-question bank and score at least 80%.
AgileKoc achievement credential
Verify foundational knowledge—not applied competence
Complete all 10 lessons and score at least 80% to earn a shareable AgileKoc achievement credential. It confirms knowledge of AI-native work foundations; it is not an applied-skill or accredited certification.
Path curriculum10 steps · ~97 minView all +Hide −
- AI Tool Adoption Is Not AI TransformationSeparate tool use from workflow, decision, and operating-model transformation.8 min
- What Is an AI-Native Organization?Distinguish AI-assisted, AI-enabled, AI-first, AI-native, and agentic work.12 min
- From Tasks to WorkflowsSeparate local task speed from end-to-end flow, waiting, and outcome improvement.9 min
- Human Versus AI Decision RightsAllocate recommendation, action, approval, override, and escalation rights according to risk.10 min
- AI Agents as TeammatesDefine an agent's goal, tools, authority, handoffs, and failure behaviour.8 min
- Human In, On, and Above the LoopPlace in-the-loop approval, on-the-loop supervision, and system ownership in the right context.9 min
- Trust, Governance, and Accountability in AI WorkSeparate trust from accuracy and build it through boundaries, traceability, ownership, and recovery.10 min
- AI Experiments, Evaluations, and Feedback LoopsRun an AI pilot with a hypothesis, baseline, quality, outcome, and balancing measures.9 min
- The AI-Native Team Operating ModelTurn individual AI speed into shared standards, team learning, and reliable outcomes.10 min
- Design Your First AI-Native WorkflowCreate a testable hypothesis sketch connecting outcome, flow boundary, human-AI contribution, risk, and first evidence.12 min
Final assessment
Complete all required steps (0/10) to unlock the assessment.
Before you start
Short answers about access, time, assessment, and the AgileKoc credential.
- Who is this path for?
- Managers, team leads, product, technology, operations, and change professionals who need a vendor-neutral foundation for redesigning work with AI.
- Do I need technical or coding experience?
- No. The path focuses on workflows, decisions, accountability, governance, and team design rather than implementation frameworks or prompt syntax.
- Does the path include PracticeLabs?
- No. This foundations path is lesson-based and ends with a knowledge assessment. Applied PracticeLab paths will be separate.
- How long does it take?
- The 10 lessons take approximately 97 minutes. Your account saves progress so you can continue later.
- How do I earn the credential?
- Complete all 10 lessons and score at least 80% on the final assessment. The credential is then issued automatically.