| name | aipom-capability-maturity-advisor |
| description | Diagnose role capability, applied learning, workflow adoption, stewardship, and outcome evidence; recommend the next capability-building motion rather than more generic training. |
| type | interactive |
| category | capability-adoption-and-reuse |
| phase | 1 |
| status | active |
| operating_level | ["organization","product-team"] |
| audience | ["CPO","CTO","Product Operations","Product Manager","Team Lead","Enablement","People Operations","AI Governance"] |
| best_for | ["Moving beyond AI literacy training","Diagnosing adoption without outcome evidence","Choosing a role-specific capability intervention"] |
| evidence_required | ["Role expectations and workflow needs","Applied work examples","Coaching and adoption evidence","Decision and outcome measures"] |
| produces | ["Capability maturity diagnosis","Role and workflow gap","Recommended learning or reuse motion"] |
| assessment_questions | ["CAP-01","CAP-02","CAP-03","CAP-04","CAP-05"] |
| maturity_move | {"from":"emerging","to":"repeatable"} |
| estimated_time | 30-60 min |
| group_size | 2-10 |
| depends_on | [] |
| combine_with | ["role-based-aipom-competency-map","aipom-learning-system-designer","workflow-to-skill-converter"] |
| sources | [] |
AIPOM Capability Maturity Advisor
What Is It
Diagnose whether people and teams can perform responsible AI product work in real workflows, learn from evidence, reuse effective practice, and improve outcomes—not merely complete training or use tools.
Why Use It
Generic literacy and license adoption rarely reveal whether roles can make better product, evaluation, context, investment, or governance decisions. This advisor connects capability to applied work.
When to Use It
Use when training is high but practice is uneven, tools are adopted without outcome evidence, or the organization must prioritize role and workflow capability.
What It Produces
- Capability diagnosis by role, workflow, and evidence level
- Most consequential gap and affected outcome
- Recommended competency, learning, reuse, or reinforcement motion
- Owner, evidence, and review cadence
Who Should Participate
Include practitioners, managers, Product Operations, enablement or people partners, workflow owners, and governance partners. Do not rely only on training providers or executive self-assessment.
Evidence to Bring
Bring role expectations, work samples, decisions, coaching evidence, workflow observations, reuse records, adoption measures, outcome evidence, and examples of changed or retired practice.
How to Do It
- Define the roles, workflows, outcomes, and decision to improve.
- Extract supplied competency, learning, adoption, and outcome evidence.
- Diagnose knowledge, applied practice, feedback, reinforcement, stewardship, and measurement gaps.
- Separate tool fluency from decision and workflow capability.
- Present intervention choices and recommend the smallest motion tied to real work.
- Name owner, practice opportunity, evidence, and review trigger.
Facilitation Protocol
Support guided, context-dump, and best-guess modes. Ask for examples of actual work before maturity ratings. Present numbered recommendations and accept combined or custom paths.
Decision Logic
- Define role competencies when expectations are unclear.
- Build applied learning when knowledge exists but practice and feedback do not.
- Convert workflows to skills when local practice works but is not reusable.
- Strengthen leadership routines and incentives when people can perform but the system discourages use.
- Build an adoption-impact scorecard when activity is measured without changed behavior or outcomes.
Completion Criteria
Finish with role/workflow scope, evidence and confidence, consequential capability gap, intervention, human owner, applied practice, outcome measure, and unresolved barriers.
