The Progression: Assisted, Delegated, Owned
Three stages of organizational autonomy, the evidence each requires, and the quadrant most organizations occupy by accident.
Autonomy expands along one axis and discipline along another, and most organizations today are further along the first than the second. That is the dangerous quadrant, and it usually arrives by accretion rather than by decision—a scope widened here, a bypass actor configured there to unblock a deadline.
An organization cannot safely occupy a stage its verification and absorption capacity does not support, and stage advancement should be gated on evidence rather than ambition.
Height indicates the discipline required, not the autonomy granted.
4.1 The Three Stages #
| Stage 1 — Assisted | Stage 2 — Delegated | Stage 3 — Owned | |
|---|---|---|---|
| Humans do | Author, with acceleration | Specify, architect, verify, review high-risk change | Set intent and constraints, arbitrate escalations, own outcomes |
| Agents do | Complete, suggest, draft under direct supervision | Produce within declared work classes, dispatched per task or queue | Hold standing scope, work continuously, escalate rather than await dispatch |
| Unit of delegation | The keystroke or the prompt | The task, then the work class | The scope: a service, a domain, a maintenance surface |
| Unit of governance | The individual | The work class and the deployment | The fleet |
| Oracle | Human judgment at acceptance | Machine-checkable per work class, human review at merge | Layered, immutable, independent of the agent; human review sampled by risk |
| Review posture | Every change, as for any contributor | Risk-tiered; mandatory on high-risk paths | Auto-merge what is provably safe; human attention concentrated at the boundary |
| Platform | Licenses and guidance | Agent runtime, context substrate, tool gateway, evaluation infrastructure | All of the above plus fleet identity, cost control, and continuous validation |
| What breaks it | Nothing structural; gains are individual | Review saturation | Undetected oracle gaming; comprehension debt |
Most enterprises today sit somewhere between Stage 1 and Stage 2, with pockets of Stage 3 behavior that nobody authorized. The published Stage 3 exemplars are few and specific: fleet-wide automated maintenance where the transformation is well specified and the oracle is strong.100,101
4.2 Entry Criteria #
Stage advancement is a decision with owners, evidence, and a date. These are the minimum conditions.
To enter Stage 2—Delegated
- Every agent deployment has a unique identity, a named accountable human, and no standing credentials
- The merge boundary holds: agents cannot self-approve or self-authorize CI execution, verified by demonstration
- At least one machine-checkable oracle exists for every work class being delegated
- Review integrity is instrumented—approval rate, review duration, diff size at approval—and reported
- Absorption capacity is modeled from actual telemetry and governs the merge rate
- Provenance is emitted at authorship and survives into the release record
- Agent runtime is isolated with default-deny egress
- Control maturity is at Level 2 or above across all dimensions in Section 18
To enter Stage 3—Owned
- Operating evidence at Stage 2 for at least two quarters: merge rate, defect escape rate, revert rate, scope adherence, conflict rate, incident involvement—all trended, all within threshold
- Oracles are immutable from the agent’s perspective, with test and specification artifacts outside agent write scope
- Layered verification per Section 7, including at least one oracle the agent cannot observe
- Continuous validation running against production, alerting on distribution shift
- Fleet-level identity, cost attribution, and kill switches, all tested with measured time-to-effect
- Auto-merge policy defined by change class, with a measured false-negative rate
- Comprehension and maintainability monitored, with consolidation work funded from the signal
- Named human ownership of every subsystem, with a stated expectation that the owner can explain it
- Control maturity at Level 3 or above across all dimensions
The asymmetry is deliberate. Entering Stage 2 requires controls. Entering Stage 3 requires controls plus evidence that they worked. There is no path to Stage 3 that skips operating at Stage 2 long enough to measure.
4.3 Deployment Autonomy Tiers #
Organizational stage sets what the company is prepared to run. Tier sets what a specific deployment is granted. They are different decisions and both are needed.
| Tier | Description | Human involvement | Permitted scope | Approval authority |
|---|---|---|---|---|
| A0Advisory | Generates output; no write capability | Human performs every action | Read access the invoking human already has | Team lead |
| A1Supervised authoring | Writes to a working branch; every change reaches trunk through human review | Review at merge | Non-protected branches; no CI credentials; no production data | Engineering manager |
| A2Bounded autonomous | Executes multi-step tasks and opens changes independently within a declared envelope | Review at merge mandatory; exception approval for envelope breaches | Declared repositories, paths, and tool set; no secrets in context | Architecture review with security consultation |
| A3Delegated autonomous | Operates continuously on a defined scope; may merge low-risk change classes under policy | Post-hoc review with sampling; automated halt on anomaly | Enumerated repositories and change classes; non-production infrastructure; ephemeral credentials | CTO or delegate, with security sign-off |
| A4Privileged autonomous | Acts on production systems, release pipelines, security controls, identity, or financial paths | Dual control; monitoring independent of the agent’s control plane | Explicitly enumerated, time-boxed, with a termination condition | CTO plus business executive; documented risk acceptance |
Organization should not run anything above A1.
Organization can support A2 broadly and A3 in work classes with strong oracles.
A3 as a default, and anything in A4.
4.4 Rules Across Tiers #
- Tier attaches to a deployment, not a product—the same agent may run at A1 against a customer-facing service and A3 against internal tooling, and those are two registrations with two owners.
- There is no automatic promotion; demonstrated good behavior is evidence supporting a decision, not a decision.
- Every A2-and-above deployment requires a named accountable human, not a rotation.
- A4 deployments require a monitoring and halt path the agent cannot reach or modify.
- Any agent given elevated credentials for a migration, extended tool access for an investigation, or reduced guardrails for any purpose is A4 for the duration.
4.5 Control Maturity Levels #
Two scales are now in play: the stage an organization operates at, and the tier a specific deployment is granted. A third runs through everything after this section, and it is worth stating here rather than where it is scored.
Every control in Parts II and III is written at two levels — the minimum bar that makes it defensible, and the enforced state that makes it hold without anyone remembering to apply it. A control table reading Minimum bar (L2) and Enforced state (L3) is naming two columns of one five-level scale.
L2 is the minimum defensible bar for any AI participation in production, and the entry condition for Stage 2: a complete inventory of managed AI participation, tiering applied, and identity, provenance and review controls enforced at deployment. L3 is enforcement by the pipeline rather than by policy — the same controls, holding without depending on anyone to remember them.
Section 18 scores all five levels across fifteen dimensions and states the rule that governs them: an organization’s level is the minimum across dimensions, not the average. Between here and there, read L2 and L3 as the floor and the enforced state of whatever control is in front of you.
4.6 The Failure Mode This Section Exists to Prevent #
Expansion by accretion. Nobody approves Stage 3; a scope widens, a bypass actor is added, an agent is pointed at a second repository, an auto-merge rule is relaxed to clear a backlog. Six months later the organization is operating at Stage 3 autonomy on Stage 1 controls, and the first person to notice is an incident responder.
The single best leading indicator is in Section 20: agent population growth rate against registry coverage growth rate. When the first exceeds the second, the organization is advancing stage without deciding to.
References cited in this section
2 of 243 · numbering matches the PDF
- 100Max Charas and Marc Bruggmann, "1,500+ PRs Later: Spotify's Journey with Our Background Coding Agent," Spotify Engineering, November 2025 First-party self-reported adoption figures; quality outcomes not formally quantified.engineering.atspotify.com/2025/11/spotifys-background-coding-agent-part-1 ↗
- 101Niklas Gustavsson, "Coding Is No Longer the Constraint," Spotify Engineering, June 3, 2026 First-party.engineering.atspotify.com/2026/6/code-with-claude-coding-is-no-longer-the-constraint ↗