Structured AI Maturity Accelerator
Measure your organization's AI maturity across five Domains with actionable insights and prescriptive guidance
SIMA-Probe is the diagnostic assessment tool within the SIMA360™ framework, designed to measure an organization's AI maturity across five Domains: Strategy, Governance, Data, People, and Technology. Each Domain is evaluated across the SIMA360 Maturity Model's six capability levels: Initial, Exploring, Applying, Formalizing, Optimizing, and Leading.
SIMA-Probe serves as the guide for organizations within their AI maturity journey, providing the foundational assessment that informs capability-building roadmaps, project planning, and resource allocation decisions.
SIMA-Probe is specifically designed to support the Assess Capabilities phase of the SIMA-Flow™ cycle. Results from SIMA-Probe directly inform:
Establishes current maturity across all five Domains
Triggers appropriate recommendations from SIMA-Kit™, matched to organizational readiness
Determines safe starting points from Baseline tools through Autonomous Execution systems
Identifies entrance criteria and readiness indicators for AI initiatives
Highlights specific areas requiring attention before advancing to higher capability levels
SIMA-Probe evaluates organizational readiness across all Domains to determine which maturity level accurately reflects current maturity.
View the full maturity guide — what each level means across all five domains →
AI is under consideration but the organizational conditions for reliable AI outcomes do not yet exist. No formal governance. No defined strategy for AI investment or prioritization. Data access is unstructured. AI literacy is concentrated in isolated individuals rather than distributed across the organization. Technology infrastructure has not been evaluated for AI readiness.
Isolated experimentation is underway but governance, data, and people conditions remain informal. Individual projects reflect individual initiative rather than organizational strategy. Early AI awareness is growing but there is no shared vocabulary for evaluating AI readiness, no formal risk management, and no structured process for moving from experimentation to application.
Specific AI use cases are producing results but the operational conditions that would make those results repeatable are not yet in place. Governance frameworks are beginning to emerge. Data quality investments have started. Some cross-functional coordination exists but is project-dependent rather than structural. Early momentum is real but fragile — dependent on specific people and specific projects rather than organizational systems.
Repeatable operational conditions are being established. Governance is documented and beginning to function operationally rather than performatively. Data quality and access are managed through formal policies. AI strategy is aligned with business priorities and visible to leadership. Cross-functional teams apply standardized practices. The organization is transitioning from dependent on individual initiative to dependent on organizational systems.
AI operates within robust governance structures that function under real operational conditions — not just in compliance reviews. Feedback loops produce continuous improvement across all five dimensions. Real-time analytics inform strategic decisions. The organization proactively manages AI risk rather than reactively responding to failures. Capability is organizational, not individual.
AI is embedded in the organization's strategic differentiation and operational identity. Governance, data, people, technology, and strategy conditions are mutually reinforcing and continuously improving. The organization contributes to industry standards rather than following them. New AI capabilities are absorbed by a mature organizational system — not deployed into an unprepared one.
Choose the level that matches your organization's needs
The minimal viable product level, designed for small organizations, individuals exploring SIMA-Probe capabilities, or those at the Initial or early Exploring stage.
Ideal For:
Organizations conducting initial feasibility assessment, small teams (fewer than 50 people), or those seeking a quick maturity snapshot.
SIMA-Probe incorporates Adaptive AI capabilities to enhance both the accuracy and relevance of evaluations
The AI dynamically adjusts question sets and examples based on organizational context such as industry, size, and operational maturity.
AI analyzes uploaded organizational materials to pre-populate or validate answers, transforming the evaluation into a hybrid evidence-based process.
Select the subscription level that matches your needs
Answer questions honestly based on current practices
Use results to inform your AI maturity journey
SIMA-Probe is built with enterprise-grade security and privacy protections
Start your SIMA-Probe assessment today and get actionable insights to guide your AI journey