Innorve Capability Graph · IM-06

Where does your team actually stand on AI?

Most maturity assessments feel like marketing surveys. This one doesn't. It maps your team or organization across the seven SDLC phases — Discover, Define, Build, Verify, Release, Operate, Learn — and produces a Capability Graph you can screenshot, share, and use to plan the next quarter.

Implements the open Capability Graph Format v0.1. Takes 4-6 minutes. Honest answers produce useful graphs. Generous answers produce useless ones.

PHASE 01 · DISCOVER

Discover

Identifying problems worth solving with AI. Stakeholder mapping. Use-case shortlisting.

Where do AI ideas originate in your team — and how are they evaluated before they get built?

PHASE 02 · DEFINE

Define

Skill contracts. Acceptance criteria. Risk classification. Compliance requirements.

How do you specify what an AI skill should do, what it must produce, and what it must not do?

PHASE 03 · BUILD

Build

Implementation. Skill composition. Model selection. Tool integration.

How do you actually compose the skill — what frameworks, what models, what guardrails?

PHASE 04 · VERIFY

Verify

Eval suites. Regression tests. Red-teaming. Golden datasets.

How do you know an AI skill works — and would keep working under load, edge cases, and adversarial input?

PHASE 05 · RELEASE

Release

Deployment. Approval workflows. Canary rollout. Rollback plans.

How does a verified skill make it from your branch into production, with proper approvals and rollback?

PHASE 06 · OPERATE

Operate

Observability. Audit trails. Incident response. SLO management.

Once a skill is live, how do you monitor it, audit its decisions, and respond to incidents?

PHASE 07 · LEARN

Learn

Retrospectives. Pattern extraction. Skill maturity gating. Knowledge sharing.

How does what you learn from production make it back into the methodology, the team, and the next skill?

Answer all 7 phases to generate