Individual
The person carries durable human-AI partnership across changing tasks and remains accountable for the result.
Augmenting: human expertise and AI operate as a durable partnership.
The partnership is reliable enough to improve, transfer, and scale without losing human judgment, evidence, or responsibility. This is a condition to sustain and renew, not a finish line.
How Augmenting appears at each level
Team
The team operates a dependable, teachable process that others can reuse and scale without losing control.
Organization
The organization scales by evidence instead of enthusiasm, with durable governance, role clarity, and operating stability.
Even at this level, maturity can differ by workflow. Reassess when the role, tools, policy, consequence, or error pattern changes.
Evidence to look for
Problem framing
Human expertise defines meaningful outcomes and adapts the work as context changes.
Grounding and evidence
Evidence, assumptions, and limits are default parts of the partnership rather than special precautions.
Validation and judgment
Review is embedded, consequence-aware, and strong enough to detect drift or confident error.
Workflow integration
The system improves and transfers across tasks while preserving human control and recoverability.
Ownership and communication
Responsibility, disclosure, escalation, and decisions remain transparent to the people affected.
Learning and improvement
Near misses, correction load, outcome evidence, and changing tools drive continuous renewal.
Practical next move
- Audit the partnership when tools, policies, roles, or consequence levels change.
- Monitor drift, evidence quality, correction load, and the ability to stop or recover.
- Share the operating pattern while preserving local expertise and human accountability.
Common failure mode
Treating augmentation as completion or as a reason to replace judgment. Durable partnership means capability grows while responsibility remains visible.
What sustains this level
Reassess after a role or workflow change, a new tool or policy, a notable error or near miss, or a meaningful reduction in correction load. Use the assessment as a prompt for evidence-based conversation, and return to the AAOS stages when the operating method needs renewal.
Review the full maturity progression or see practice examples.