Measure your path toward an AI-Native Organization™
The formal AI-Native Readiness Assessment™ evaluates 130 questions across the 13 domains and produces the AI-Native Readiness Score™ on a 0–130 scale. Start here with a fast public readiness snapshot.
Ten signals. Zero marketing theater.
Score each statement from 0 to 10 based on current operating reality. This screen is intentionally directional: it helps identify whether the next move is tool adoption, workflow standardization, architecture integration, governance, or formal assessment.
Our organization has a documented model for how intelligence moves from knowledge to decisions and execution.
AI systems have defined owners, decision boundaries, escalation paths, and human intervention rules.
Agents, automations, and AI tools are integrated into governed workflows rather than operating as disconnected utilities.
Critical organizational knowledge is structured, retrievable, current, and available to the systems that need it.
We can trace important AI-supported decisions to the data, context, policies, and systems that influenced them.
Operational outcomes are measured and fed back into future decisions, models, workflows, or knowledge systems.
Our architecture can replace or upgrade models, agents, and vendors without breaking core operating workflows.
We actively measure where intelligence is delayed, duplicated, lost, or distorted across handoffs.
Autonomous systems can coordinate with other systems while preserving security, accountability, and organizational intent.
AI is treated as part of organizational infrastructure with architecture, governance, standards, and continuous improvement.
13 domains × 10 questions = 130 diagnostic questions.
Each formal question is scored from 0 (Not Present) through 10 (Recursive). The assessment spans the full AI-Native Organization Framework™, normalizes 1,300 raw points to the 0–130 ANRS™ scale, and separates foundational, operational, and architectural excellence indexes.
ANMM™ classifies maturity. ANRS™ measures readiness.
They are related but not interchangeable. The AI-Native Maturity Model™ describes the organizational state from Analog Organization™ through Recursive Intelligence Organization™. ANRS™ measures the evidence of readiness across the architecture.