AI-Native Leadership Operating System (ALOS)
30-Day Rollout Template (copy/paste)

Goal: Deploy AI into 2 high-impact workflows without losing trust. You will measure baseline performance, add guardrails, and publish results.

SECTION 1 — Select workflows (Day 1)
1) Engineering workflow name:
- Example: “Agent-assisted test generation for payments service”
- Definition of done (DoD):
- Human-required checkpoints (e.g., PR review, release approval):

2) Business workflow name:
- Example: “Support draft responses for top 20 ticket categories”
- Definition of done (DoD):
- Human-required checkpoints (e.g., supervisor approval for refunds):

SECTION 2 — Assign owners (Day 1–2)
- Executive sponsor:
- Platform/AI owner (gateway, logging, access):
- Workflow DRI (one per workflow):
- Security partner:
- Data/privacy partner (if applicable):

SECTION 3 — Baseline metrics (Days 3–7)
Collect 2–4 baseline metrics per workflow. Write actual numbers.
Engineering (pick 2–4):
- Lead time (merge to deploy):
- Defect rate (bugs per release):
- Change failure rate (% deploys causing incident):
- Review time (hours):

Business (pick 2–4):
- First response time:
- CSAT (%):
- Escalation rate (%):
- Handle time (minutes):

SECTION 4 — Guardrails & policy (Days 8–14)
Minimum standards:
- Logging/tracing: record model, workflow, tool calls; store prompt hashes if sensitive.
- Access control: least privilege for any tool/action (DB queries, refunds, deploys).
- Data rules: define what data is prohibited (PII categories, credentials, contracts).
- Kill switch: one toggle to disable the workflow and revert to human-only.

SECTION 5 — Evaluation plan (Days 8–14)
Create a small evaluation set.
- Engineering: at least 20 representative tasks or PRs.
- Business: at least 50 historical tickets labeled “good response.”

Define acceptance rubric (example):
- Correctness (0–2)
- Safety/policy compliance (0–2)
- Clarity and tone (0–2)
- Required citations/links present (0–2)
- Human edit required? (Yes/No)

SECTION 6 — Pilot launch (Days 15–24)
- Start with limited scope (one team or 10–20% traffic).
- Daily sampling: review N outputs/day (set N = 20 for business, 5 for engineering).
- Track outcomes: accepted / edited / rejected.
- Track cost: total spend and cost per unit (per ticket, per PR).

SECTION 7 — Weekly review agenda (repeat weekly)
1) Metrics vs baseline
2) Top 3 failure modes observed
3) Security/privacy incidents (if any)
4) Spend vs budget
5) Decisions: expand, pause, or revert

SECTION 8 — Day 30 publish-out (internal memo outline)
- What we changed (workflows + tooling)
- Baseline vs Day-30 results (numbers)
- What broke (incidents + learnings)
- Updated policy (human checkpoints, data rules)
- Next 30 days: which workflow scales next and what guardrails are required

Success criteria (suggested)
- Business workflow: +20% faster response time with no CSAT decline and <10% policy violations.
- Engineering workflow: -15% lead time or +15% test coverage with no increase in change failure rate.

Note: If you can’t measure it, you can’t lead it. Publish the numbers, not the narrative.