D1 · Group A Operational
Versioning & Reproducibility
Reproducible builds, prompt/code/model version-pinning, deterministic re-runs, and artifact lineage.
How the model is shaped
Four groups, thirteen dimensions, plain language first.
The model splits concerns into operational, knowledge, risk, and outcome groups so single-axis claims cannot stand in for the whole picture. Below: a short overview, and the technical detail behind it on demand.
Why a structured model?
Single-number maturity claims invite over-statement. The model splits concerns into four groups, asks for minimum coverage in each, and stays cross-walked to standards your auditors already know. The visitor sees plain phrasing first; the structural detail lives behind a single toggle.
What follows is the everyday-language version. The technical layer is one click away.
Show the technical detail behind this
Structure at a glance
- Groups
- 4
- Dimensions
- 13
- Categories
- 38
- Items
- 99
- Levels
- 6
- Hive-Types
- 9
Group A
Operational
Day-to-day discipline of running an agentic-software-development practice — the engineering hygiene that keeps the hive accountable, repeatable, and recoverable.
L4 group-floor required to claim L4+ overall
D2 · Group A Operational
Observability & Telemetry
Run-level traces, agent invocation logs, cost / latency / quality metrics, and live drift signals.
D3 · Group A Operational
Continuous Integration
Automated test gates, prompt regression suites, eval-on-commit, and merge protections.
D4 · Group A Operational
Deployment & Release
Progressive rollout, blue/green or canary release, rollback playbooks, and deployment audit trails.
Group B
Knowledge
How the hive captures, validates, and propagates knowledge across humans and agents — KB curation, lessons, retrievability, and onboarding semantics.
L3 group-floor required to claim L4+ overall
D5 · Group B Knowledge
KB Curation & Lessons
KB section discipline, lessons capture, deprecation hygiene, and read-tracking discipline.
D6 · Group B Knowledge
Retrieval & Grounding
Retrieval quality, grounding traceability, citation discipline, and hallucination-control evidence.
D7 · Group B Knowledge
Onboarding & Pedagogy
Stakeholder onboarding, agent-orientation paths, role-based training, and pedagogy evidence.
Group C
Risk
How the hive manages security, regulatory, ethical, and operational risk — drift, red-teaming, jurisdictional obligations, and AI disclosure.
L4 group-floor required to claim L4+ overall
D8 · Group C Risk
Security & Hardening
Secret hygiene, supply-chain security, agent permission scoping, and hardening drift detection.
D9 · Group C Risk
Compliance & Jurisdiction
GDPR, EU AI Act, sector-specific regimes, jurisdiction-obligation registry, and DPIA evidence.
D10 · Group C Risk
Risk Register & Tabletops
Active risk register, scheduled red-team exercises, tabletop simulations, and post-mortem feedback.
D11 · Group C Risk
AI Disclosure & Transparency
Public AI-disclosure artifacts, decision-explainability, model cards, and use-case transparency.
Group D
Outcome
Outcomes the practice produces for stakeholders: deliverable acceptance, customer feedback loops, business-level impact.
L3 group-floor required to claim L4+ overall
D12 · Group D Outcome
Deliverable Acceptance
Stakeholder-acknowledged acceptance of deliverables, signed sign-offs, and rejection-rate tracking.
D13 · Group D Outcome
Stakeholder Outcomes
Customer-impact metrics, business-value tracking, stakeholder feedback loops, and outcome-based KPIs.
Browse individual dimensions.
Each dimension has its own short summary, with the deeper category and item-count detail behind a disclosure-toggle on the dimensions page.