AGENT-READY LEADERSHIP OPERATING SYSTEM (ALOS)

Use this as a lightweight operating system for leading teams that ship with AI agents. Goal: increase throughput without increasing incidents, compliance risk, or review overload.

1) DEFINE THE WORK “LANES” (10 minutes)
- Green lane (auto-propose OK): docs, formatting, comments, test additions, dependency bumps below a defined risk threshold.
- Yellow lane (agent drafts, human approves): refactors, migrations, new endpoints behind flags, analytics instrumentation.
- Red lane (human-led): auth/permissions, payments, privacy/data retention, production infra, encryption/key management.
Write the lane policy in one page and pin it in the repo.

2) STANDARDIZE INTENT (20 minutes)
Adopt a 1-page PRD format:
- Problem statement (1-2 sentences)
- Target user + scenario
- Success metric (numeric; e.g., +1.5% conversion, -50ms p95 latency)
- Constraints (cost ceiling, privacy rules, performance SLOs)
- Non-goals (what you are NOT doing)
- Rollout plan (flag, staged %, rollback trigger)
Agents may draft PRDs, but a human owner must sign off.

3) GUARDRAILS (30 minutes)
Minimum CI checks for agent-assisted PRs:
- Tests must pass
- Secrets scanning enabled
- Lint/format enforcement
- SAST/dependency scanning (where available)
- CODEOWNERS approval required for red-lane paths
Also require:
- SSO + role-based access control for AI tools
- Prompt/tool-action logging (retention policy defined)
- PR attribution labels (e.g., “agent-assisted”)

4) METRICS (15 minutes)
Track weekly:
- Cycle time (commit-to-deploy)
- Review latency (time to first review + time to merge)
- Change failure rate (% deployments causing incidents/rollbacks)
- MTTR (mean time to restore)
- AI economics: cost per merged PR OR cost per shipped feature
Set a rule: do not expand automation scope if change failure rate rises for 2 consecutive weeks.

5) OPERATING RHYTHM (15 minutes)
- Weekly: 30-minute “Throughput + Risk” review (metrics + top failure modes)
- Monthly: update lane policy + guardrails based on incidents and near-misses
- Quarterly: career ladder calibration to reward outcomes, quality improvements, and risk reduction

6) DECISION RECORD (FOR HIGH-TRUST CHANGES) (Template)
Title:
Date / Owner:
Decision:
Why now:
Constraints (security/privacy/cost):
Alternatives considered:
Rollback trigger:
What would change our mind:

If you implement only one thing: define lanes + enforce CI guardrails. That single step prevents the most common 2026 failure mode—scaling AI output faster than your ability to verify it.