Step 1: Score honestly
Rate each prompt from 1 to 5 based on current operating reality, not target-state aspiration.
AIOS Resource
AIOS Readiness Scorecard
A practical baseline for leadership teams and investors. Score five dimensions from 1 to 5, then identify the weakest operating constraint first.
Built for quick working sessions, not surveys for vanity metrics.
How To Use It
Run this in about 20 minutes.
Step 2: Find the weakest area
Your lowest dimension usually marks the primary execution constraint to address first.
Step 3: Convert to action
Use the workbook to assign ownership, sequence work, and set review cadence for the next 90 days.
Light Access
Unlock the full 25-prompt scorecard.
Enter your details to access the complete scoring tool. No password wall and no member account required.
Scorecard unlocked.
Use the sections below to score your current operating readiness.
Full Scorecard
Score each prompt from 1 to 5.
1. Strategic Clarity
- Our AI priorities are tied to measurable business outcomes.
- Leaders can explain where AI should create value and where it should not.
- Decision rights are clear when strategic trade-offs appear.
- Success criteria are agreed before implementation work starts.
- We review AI priorities on a fixed operating cadence.
2. Operating Design
- Core workflows are mapped with clear human and AI roles.
- Key data dependencies are known and owned.
- Handoffs between teams are defined and reliable.
- Tool choices follow operating needs, not novelty pressure.
- Critical process failure points are documented.
3. Governance and Control
- Material AI decisions have named accountable owners.
- Risk review and escalation routes are defined.
- Human oversight is explicit in high-impact workflows.
- Policy and control updates are tracked over time.
- Auditability is designed into key decision flows.
4. Implementation Discipline
- Delivery priorities are sequenced by business impact.
- Ownership and deadlines are explicit for each workstream.
- Capability gaps are identified early and addressed.
- Live pilots include feedback and correction loops.
- Adoption is measured beyond launch metrics.
5. Operational Performance
- AI-enabled workflows have clear performance metrics.
- Incident response exists for AI-related failures.
- Teams can distinguish signal from noise in reporting.
- Operating routines are reviewed and improved regularly.
- Learning is captured and reused across teams.
Interpretation Guide
- Total below 60: foundational operating risk is high.
- Total 60 to 89: progress exists but execution is fragile.
- Total 90 to 109: capable baseline with clear improvement targets.
- Total 110+: strong operating readiness with disciplined controls.