AI-NATIVE LEADERSHIP OPERATING SYSTEM (ALOS)
10-Point Implementation Checklist for 2026

Use this checklist to implement AI agents/copilots without inflating incident rates, compliance risk, or rework. Target audience: founders, heads of engineering, product, operations, and security.

1) Pick one workflow (not “AI everywhere”)
- Criteria: frequent, measurable, reversible.
- Examples: dependency update PRs in one repo; tier-1 support triage for one queue; test generation for one service.
- Output: a one-paragraph scope statement and success metrics.

2) Assign a single accountable owner
- One person owns outcomes (quality, incidents, drift), not a committee.
- Document escalation path and who can pause/rollback.

3) Define constraints in writing (“must-never” rules)
- Examples: never email customers without approval; never access payroll tables; never change production without CI green.
- Convert constraints into policy prompts AND system permissions.

4) Implement permissions budgeting
- Start with least privilege.
- Expand privileges only after hitting reliability thresholds (e.g., offline eval pass rate + clean audit for 30 days).

5) Create an evaluation set and regression gate
- Build 50–200 representative cases initially.
- Every production incident must add at least one new eval case.
- Add gating in CI: prompt/tool/policy changes can’t ship if evals regress.

6) Add observability (logs, traces, dashboards)
- Log: prompts, tool calls, retrieved sources, actions taken, and confidence/decision rationale.
- Dashboard: error rate, latency, human override rate, reopen/rework rate.

7) Require a runbook + kill switch
- Runbook includes: triggers, allowed actions, escalation, and safe-mode behavior.
- Kill switch must be one-click (feature flag) with clear ownership.

8) Red-team and failure-drill monthly
- Simulate adversarial prompts, missing dependencies, partial outages, and stale data.
- Record outcomes and add new eval cases.

9) Update performance incentives
- Reward: eval improvements, incident prevention, safer launches, better review systems.
- Don’t over-index on output volume (AI inflates it).

10) Publish a decision memo for every scale-up
- One page: scope, owner, constraints, data sources, eval plan, metrics, and rollback plan.
- Treat as the durable artifact that prevents drift and re-litigation.

If you can check off items 1–7, you’re ready for limited production. Items 8–10 are what turns a pilot into an operating system.