Measuring and Managing Autonomy
Autonomy from a business and systems point of view can be challenging to manage. This project defines a framework by which managing and measuring autonomy can be designed and implemented.
Most organizations manage autonomy implicitly — it emerges from trust, tenure, and accidents of structure, and is therefore felt but not measured, expanded but never designed, and revoked arbitrarily. This framework makes autonomy an explicit, designed, measurable property of the organization.
The framework in one diagram
flowchart LR
A[Design<br>decision + blast radius] --> B[Grant<br>autonomy contract]
B --> C[Measure<br>ledger + telemetry]
C --> D[Manage<br>expand / contract / re-shape]
D -->|re-grant, next horizon| B
What's here
| Document | Purpose |
|---|---|
| Framework | Definitions, the three axes, definitive levels L1–L5 above the Submarine Line (L0), autonomy contracts |
| Maturity model | Six dimensions × five levels grid, scoring rules, the Autonomy Ledger |
| Assessment | The questionnaire and scoring procedure — the practical instrument |
| Governance loop | Grant → Instrument → Observe → Review, with cadence and anti-patterns |
| Positioning | Related work, lineage, open questions, BibTeX |
| Worked example | One team, scored end to end, producing a governance move |
| AI agents as units | First-pass extension: scoring agent units with the same instrument |
| Ledger format | Machine-readable Autonomy Ledger (YAML v1) + health checks |
| Contract template | Autonomy contract + review agenda, ready to copy |
| Versioning | Ruleset/ledger versioning policy — how assessments stay comparable |
| Changelog | Every change, classified by comparability impact |
Install
No Python needed — standalone binaries for macOS, Linux, and Windows are
attached to each GitHub Release:
download autonomy-score-<os>-<arch> and ledger-health-<os>-<arch>, mark
them executable, run.
With Python 3.9+ (installs the autonomy-score and ledger-health
commands):
pipx install measuring-autonomy # or: pip install measuring-autonomy
From a clone, the zero-install form keeps working with no packaging step:
python3 tools/autonomy_score.py ... (the tools/ scripts are shims over
src/measuring_autonomy/).
Quick start: score a team
python3 tools/autonomy_score.py 2 4 3 3 2 2 --current 2
Scores are D1 clarity, D2 capability, D3 guardrails, D4 telemetry,
D5 transparency, D6 accountability (0–5 each: definitive levels 1–5, and
0 — the Submarine Line — for no autonomy at all). The tool applies the
weakest-link rule — min(guardrails, telemetry, accountability) — and
outputs the safe grant level and recommended move.
python3 tools/autonomy_score.py --self-test # verify the scoring rules
Track granted autonomy in a machine-readable Autonomy Ledger (v1 YAML
format, examples/ledger.yaml) and check its health:
python3 tools/ledger_health.py examples/ledger.yaml # requires PyYAML (pip install pyyaml)
Try it without a terminal
A dependency-free web version of the assessment lives in site/
(and is published to GitHub Pages when enabled — repo Settings → Pages →
Source: GitHub Actions). Open site/index.html locally, tick the items
with evidence, and print the scorecard.
The three questions
- Design — What autonomy should this unit have, and why? → contracts
- Measurement — How much autonomy exists, and how well is it used? → maturity model + assessment
- Management — When should autonomy expand, contract, or re-shape? → governance loop
Roadmap
See docs/roadmap.md. Current status: v0.1 draft — the written framework, maturity model, and assessment instrument are complete; next up are validation against real teams and optional tooling.
Contributing
Feedback, corrections, and real-world applications are very welcome — see CONTRIBUTING.md. Use the issue templates to report framework feedback or submit a case study.
License
Metadata
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