QR/OS™ Index
Find out where your AI transformation really stands.
The QR/OS™ Index is a short executive diagnostic that looks beyond tools and pilots to the operating conditions that determine whether AI creates measurable value.
We'll follow up to run the Index with your leadership team and share the recommended next steps.
The diagnostic
A fast read on AI operating maturity.
Most companies know they need to move on AI. Fewer know whether they have the strategy, data, workflows, governance, adoption, measurement, and operating discipline required to turn AI into business value.
The QR/OS™ Index gives leadership teams a structured view of where they are strong, where they are exposed, and what to do next.
What the Index assesses
- Strategy and value pools
- Data readiness
- Workflow readiness
- Governance and control
- Workforce adoption
- Agentic opportunity
- Measurement and ROI
- Operating rhythm
Output
What you get.
AI operating maturity score
A structured benchmark of where your organization stands across the dimensions that determine whether AI creates value.
Strengths and gaps by area
A clear view of where you are well-positioned and where the gaps are most likely to limit progress or create risk.
Practical next-step recommendations
Specific guidance on what to prioritize: training, governance, a solution build, or a broader transformation program.
Suggested path forward
A recommended sequence into AI Breakthrough, training, governance design, or a targeted solution — based on your actual readiness.
Who it is for
Built for leadership teams that need clarity before they commit.
The QR/OS™ Index is most useful when there is genuine ambition to move on AI but uncertainty about where to start, what is missing, or how to sequence investment.
We'll follow up to run the Index with your leadership team and share the recommended next steps.
CEOs and boards
Looking for a board-ready view of AI readiness before committing to a program.
Leadership teams with pilots
Active AI experimentation underway but no clear operating model or governance layer.
Investors and boards
Assessing portfolio company AI maturity, readiness, and investment thesis.
Functional leaders
Trying to prioritize where AI can create value in their part of the business.