Product · Organization Model
Carry accepted corrections into the next task.
Organization Model retains approved knowledge and working rules. A person decides what the organization should reuse.
The shared system
A correction should change the next run.
Explore how sources, shared knowledge, people, and AI agents connect. Select an element or play one cycle.
Organizational environment
Read one lapShared learning cycle
Knowledge transferOrganization Model updateKnowledge and workflow practice
Signals and experiencefrom autonomous AI agents
Corrections and approvalsfrom people
Static overview
One shared learning cycle.
Work comes in. A human correction becomes a reusable lesson. The shared model updates what people and AI agents do next, and their results return to Capture.
- 01Data enters
- 02Capture
- 03Generalize
- 04Encode
- 05Apply
- 06Return
An accepted correction
From one corrected promise to a working rule.
A proposed rule, ready for a decision
- Correction
- The proposal promised a response sooner than operations could support
- Source
- The approved service terms used in this example
- Proposed rule
- Check service promises against the applicable terms before release
- Human ruling
- Operations approves the rule and where it applies
- Next task
- The draft includes that check; a person still reviews it
- A person: Corrects the claim
- An AI agent: Proposes a rule
- A person: Checks source and scope
- A named person decides: Approves the rule
How the learning cycle is structured
- 01
Capture
The run and the human response are kept together as a learning event. This is the point where human judgment enters.
- 02
Generalize
AI agents propose a rule with its source and applicable conditions. A person reviews whether those conditions justify reuse.
- 03
Encode
The organization records only rules approved for their stated scope, with sources and review conditions.
- 04
Apply and learn
People and AI agents receive the updated knowledge and workflow practice instead of reconstructing it from memory.
What the model changes
What the next task can receive.
- 01Approved knowledge
- Each task starts with the latest accepted knowledge and practice.
- 02A rule with its scope
- One correction becomes a reusable lesson instead of a private fix.
- 03A correction history
- Results return to the cycle and update what happens next.
Use the model
Start with one consequential workflow.
Map where work, evidence, corrections, and approval live today. Then design the first cycle that should learn from them.