A Sixt Holdings framework

Cognitive Infrastructure Maturity Model™ (CIMM)

AI capability alone does not create organizational intelligence. Organizations also need the infrastructure, data, knowledge representations, semantics, governance, processes, and human context required to transform information into meaningful action.

Developed by Sixt Holdings, CIMM provides a structured framework for assessing that foundation.

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About CIMM

The infrastructure behind organizational intelligence

The Cognitive Infrastructure Maturity Model is a framework developed by Sixt Holdings from Dr. Sixt's Theory of Cognitive Infrastructure to help organizations evaluate how effectively their technical and organizational infrastructure represents reality, preserves meaning, supports reasoning, and enables increasingly capable AI and human decision making.

Cognitive Infrastructure
The broader set of technical, data, semantic, organizational, and human structures that enable an organization to understand and act on its environment.
Cognitive Infrastructure Maturity Model
The structured maturity framework used to assess and improve that infrastructure.
CIMM
The abbreviated name of the framework.

Core concept

Cognative Infrastructure: From enterprise reality to organizational intelligence

Cognitive Infrastructure layered model: Enterprise Reality progresses through Knowledge Representation, Organizational Meaning, and Organizational Cognition to Organizational Intelligence. Governance, architecture, data quality, metadata, security, interoperability, technology, and people support every layer.
The Theory of Cognitive Infrastructure, an integrative explanatory theory developed by Jonathan Chad Sixt, explains the transformation of Enterprise Reality through Knowledge Representation, Organizational Meaning, and Organizational Cognition into Organizational Intelligence. The theory identifies the need for capabilities that enable, govern, integrate, and sustain these layers and the transformations between them.

Why CIMM exists

AI depends on the foundations it reasons over

Many organizations invest in AI while foundational constraints remain unresolved. Fragmented data, poor lineage, inconsistent semantics, and disconnected systems make it difficult to establish authoritative representations of enterprise reality.

Legacy infrastructure, tightly coupled business logic, weak knowledge representation, and limited governance can further restrict how information is understood, shared, and used.

AI systems reasoning over incomplete or misleading representations may carry those limitations into their outputs. Increasingly capable AI makes the quality of its underlying infrastructure more consequential.

CIMM helps organizations examine these foundations alongside their AI ambitions and identify where improvement is needed.

Assessment scope

What CIMM assesses

The framework considers the foundations that connect enterprise information to reliable reasoning and action.

Data foundations & architecture

How enterprise data is structured, maintained, and represented to support trusted use.

Integration & interoperability

How systems exchange information and support connected workflows across organizational boundaries.

Governance & lineage

Ownership, authoritative sources, provenance, and controls that support confidence in information.

Meaning & representation

Shared semantics, definitions, and knowledge representations that preserve context for people and systems.

Organizational processes

How responsibilities, human context, and operating practices support the use of information in decisions.

AI readiness & decision support

The ability to connect foundational capabilities to AI, analytics, and the operational use of intelligence.

Maturity perspective

A direction for improvement

Organizations can strengthen their Cognitive Infrastructure over time, moving from fragmented and reactive environments toward more integrated, governed, contextualized, and cognitively capable environments.

Fragmented & reactive

Disconnected information and manual coordination limit shared understanding.

Integrated, governed & contextualized

Connected representations, shared meaning, and accountable practices support more capable reasoning and action.

Conceptual maturity continuum; these descriptions are not formal CIMM levels or scoring thresholds.

Business value

Connect AI ambition to organizational readiness

CIMM can help organizations identify gaps and establish priorities for strengthening the infrastructure behind AI and organizational intelligence. Potential outcomes include:

  • Clearer AI readiness priorities and better-informed data and architecture investments.
  • Improved enterprise data representation, governance, and lineage.
  • Greater interoperability and more consistent semantics.
  • Stronger foundations for reliable AI and analytics outcomes.
  • A roadmap for improving Cognitive Infrastructure.

Work with Sixt Holdings

Ways to engage

Engagements can focus on an initial view of readiness or a deeper examination of the foundations shaping organizational capability.

For a starting point, try the AI Readiness Analyzer. This browser-based tool is a conversation starter, not a formal CIMM assessment.

Assess Your Cognitive Infrastructure

Understand where your organization is today, identify the gaps limiting AI effectiveness, and establish a roadmap toward stronger organizational intelligence.

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