Don't just use AI. Design how work runs with it.
Carry Agile's learning and feedback principles into human and AI teams. Move beyond faster tasks to redesign workflows, decision rights, guardrails, and agentic systems.
- Free access
- 10 concise lessons
- Final assessment and certificate
Workflow decision
Customer escalation
Should AI resolve the case, ask for review, or escalate it to a person?
AI handles
- Summarise the context
- Draft the response
- Flag recurring patterns
Human owns
- Approve exceptions
- Make the customer promise
- Remain accountable
Escalation boundary
A person decides when policy, risk, or customer impact is unclear.
01
Map the work
From tasks to workflows
02
Set decision rights
Human, AI, or shared
03
Define controls
Trust and accountability
04
Learn
Evals and feedback loops
From Agile to agentic work
AI changes more than the tool. It changes the operating model.
Agile established the discipline of learning through short feedback loops. AI-native work applies that discipline to human and AI decisions; agentic organizations extend it to selected workflows with governed autonomy.
- AI-assisted work
- People still own the existing workflow. AI helps with individual tasks such as drafting, summarising, or analysis.
- Workflows, decisions, controls, exceptions, and learning loops are redesigned around the complementary strengths of humans and AI.
- Selected workflows use AI agents that pursue bounded goals, use approved tools, and act with a governed degree of autonomy.
Faster tasks
Redesigned work
Controlled autonomy
From knowledge to operating model
Learn the system. Practise the judgment. Change the work.
AgileKoç connects structured knowledge, scenario-based practice, and real team workflows. Existing Agile products continue; the system now expands toward human and AI organizations.
- 01 · Build the foundation
AI-Native Work Foundations
Understand workflows, decision rights, agents, governance, and feedback loops in ten concise lessons.
- Free path
- Final assessment
- 80% certificate threshold
- 02 · Practise human judgment
Mastery
Rehearse difficult stakeholder, feedback, and team conversations with a Socratic AI that challenges your next move.
Explore MasteryPractice scene
The team's strongest developer is 40% faster with AI, but review quality and junior learning are falling. What do you do?
- 03 · Improve a live workflow
RetroMatik
Turn anonymous team input into AI-grouped themes, shared decisions, and owned actions inside a real retrospective workflow.
- 01Collect
- 02Group
- 03Decide
- 04Act
A reason to come back tomorrow
Daily Practice · Retro actions keep floating without ownership.
Retrospectives produce good conversations, but actions are not followed in the next sprint. The team now sees retro as a meeting where people talk...
Learn before the next moment
Short, field-tested reading
Featured articles
All articles →1:1 Meeting Questions and Templates for Managers
A ready-to-use 1:1 template plus a question bank by category — career, blockers, feedback, wellbeing — so your 1:1s stop being status updates.
Read →Difficult Conversations at Work: Scripts and Examples for Every Scenario
One reusable structure plus ready scripts for saying no to a stakeholder, resolving peer conflict, and delivering bad news — with real examples and an FAQ.
Read →How to Receive Feedback Without Getting Defensive
A practical guide to receiving feedback well: why it triggers defensiveness, a 3-trigger framework, real scripts, common mistakes, and a 7-day practice challenge.
Read →Looking for another workflow?
Scrum Quiz, RetroHelper, Meeting Assistant, Feedback Assistant, and more live in the full catalog.
Before you start
Frequently asked questions
What does AI-native mean?
AI-native means redesigning work around the strengths and limits of humans and AI. It goes beyond tool adoption: workflows, decision rights, controls, accountability, and learning loops are designed together.
How do Agile and AI-native work relate?
Agile provides short feedback loops, iterative learning, and adaptation under uncertainty. AI-native work carries those principles into workflows where humans and AI have explicit roles, decision rights, controls, and shared learning mechanisms.
What is an agentic organization?
An agentic organization runs selected workflows through AI agents that can pursue bounded goals, use approved tools, and take actions with controlled autonomy. It is not simply an organization that has deployed many agents.
Where should I start?
Start with the free AI-Native Work Foundations path. Its ten lessons cover work design, human and AI decision rights, agents, governance, experimentation, and a first workflow canvas.
What is RetroMatik?
RetroMatik is an anonymous, AI-supported retrospective room. A facilitator opens a room, participants answer without display names, AI groups the themes, the team votes and discusses, and the session closes with accepted actions.
What is Mastery?
Mastery is the second product path: short, realistic workplace roleplays with Socratic AI feedback for difficult conversations, stakeholder pressure, and team situations.
Do the existing Agile and Scrum products continue?
Yes. The existing Agile and Scrum learning paths, RetroMatik, Mastery, and the complete tool catalog remain available. AI-native organization design expands the direction; it does not remove the products already in use.
How does the 🪙 system work?
New accounts start with 🪙50. A RetroMatik room uses 🪙25; participants do not spend 🪙. Other AI actions show their cost before use.
Your first AI-native workflow