Maturity Model¶
The OIF maturity model describes how an organization develops Organizational Intelligence over time.
The model is a draft for version 0.1.0. It is intended for learning, assessment, and improvement planning. It is not a certification.
Levels¶
| Level | Name | Summary |
|---|---|---|
| 0 | Isolated | Knowledge, decisions, and learning are fragmented. |
| 1 | Digitized | Information is captured digitally but remains siloed. |
| 2 | Connected | Systems and teams begin sharing data and context. |
| 3 | Aware | The organization can form useful shared understanding. |
| 4 | Learning | Feedback loops improve future decisions. |
| 5 | Intelligent | Intelligence is governed, persistent, measurable, and organization-wide. |
Level 0: Isolated¶
Organizational behavior: Work depends on individuals, local habits, and isolated tools. Teams solve problems independently.
Memory: Knowledge is mostly personal, informal, or scattered.
Context: Context is local and often lost during handoffs.
Reasoning: Reasoning depends on individual experience and is rarely reusable.
Decision-making: Decisions are inconsistent and weakly documented.
Learning: Lessons are accidental, local, and rarely preserved.
Governance: Governance is informal or limited to narrow compliance needs.
Technology characteristics: Spreadsheets, messages, local documents, and unconnected tools dominate.
Evidence required:
- examples of siloed decision records
- limited or no reusable decision rationale
- missing feedback loops
- reliance on individual memory
Transition criteria: Move toward Level 1 by capturing core information digitally and identifying critical knowledge and decision domains.
Level 1: Digitized¶
Organizational behavior: Core processes use digital tools, but each tool mostly serves its own function.
Memory: Information is stored digitally, but context and rationale are often missing.
Context: Context remains embedded in documents, messages, or team-specific systems.
Reasoning: Reasoning may be supported by reports or dashboards, but prior experience is not systematically reused.
Decision-making: Decisions may be recorded, but rationale and outcomes are not consistently linked.
Learning: Lessons may be documented after projects or incidents, but they are not reliably connected to future work.
Governance: Basic access, retention, and compliance controls exist in some systems.
Technology characteristics: Systems of Record and collaboration tools exist, but integration is limited.
Evidence required:
- digital records for core processes
- documented but disconnected knowledge repositories
- examples of decisions without linked outcomes
- basic system-level controls
Transition criteria: Move toward Level 2 by connecting critical systems, standardizing terminology, and preserving source context.
Level 2: Connected¶
Organizational behavior: Teams and systems begin exchanging data and context across boundaries.
Memory: Some shared repositories, histories, or knowledge bases exist, but they are incomplete and unevenly used.
Context: Shared terminology and relationship mapping begin to emerge.
Reasoning: Decisions can use more than one source of evidence, but reasoning is still inconsistently documented.
Decision-making: Cross-functional decisions improve where data and context are connected.
Learning: Feedback is captured in some workflows but does not reliably update future reasoning.
Governance: Governance begins to cross system boundaries.
Technology characteristics: Integrations, APIs, shared data platforms, and workflow tools connect selected domains.
Evidence required:
- integrations between critical systems
- shared terminology or data definitions
- examples of cross-functional context use
- early feedback capture
Transition criteria: Move toward Level 3 by creating reliable shared understanding, linking decisions to rationale, and improving context quality.
Level 3: Aware¶
Organizational behavior: The organization can form useful shared understanding across important domains.
Memory: Organizational Memory exists for selected decisions, processes, and knowledge domains.
Context: Context is explicit, reusable, and connected to observations and decisions.
Reasoning: Reasoning uses current context and prior experience in selected domains.
Decision-making: Important decisions have clearer rationale, evidence, and accountability.
Learning: Learning is recognized as a requirement, but feedback loops remain partial or domain-specific.
Governance: Governance covers key memory, reasoning, and decision processes.
Technology characteristics: Systems of Understanding begin to appear in selected domains.
Evidence required:
- reusable Organizational Memory in at least one important domain
- decision rationale linked to evidence
- explicit context models or relationship maps
- governed access to shared understanding
Transition criteria: Move toward Level 4 by closing feedback loops and proving that outcomes improve future decisions.
Level 4: Learning¶
Organizational behavior: The organization uses feedback-driven learning to improve future decisions.
Memory: Organizational Memory is updated based on outcomes and review.
Context: Context improves over time as the organization learns from errors, exceptions, and changing conditions.
Reasoning: Reasoning uses feedback and prior outcomes to improve recommendations and decision support.
Decision-making: Decisions become more consistent, explainable, and adaptive.
Learning: Learning loops are active, measured, and connected to future work.
Governance: Governance controls learning, model updates, workflow changes, and decision authority.
Technology characteristics: Evaluation, monitoring, memory, workflow, and reasoning capabilities are connected in important domains.
Evidence required:
- feedback loops linked to decision outcomes
- evidence of changed policies, workflows, rules, or models based on learning
- metrics showing decision improvement or repeated-failure reduction
- governance records for learning-driven changes
Transition criteria: Move toward Level 5 by expanding governed learning across the enterprise and proving persistent, measurable improvement.
Level 5: Intelligent¶
Organizational behavior: Organizational Intelligence is governed, persistent, measurable, and organization-wide.
Memory: Organizational Memory is durable, portable where practical, governed, and reused across domains.
Context: Collective Understanding is actively maintained across people, processes, systems, and AI.
Reasoning: Reasoning is consistent, explainable, evidence-based, and connected to prior outcomes.
Decision-making: Decisions improve measurably over time and remain accountable.
Learning: Intelligence Compounding is visible across the organization.
Governance: Enterprise-wide governance covers memory, reasoning, decisioning, AI, automation, learning, security, audit, and portability.
Technology characteristics: OCE capabilities operate across the enterprise through centralized, federated, or hybrid architecture.
Evidence required:
- enterprise-wide governance
- persistent Organizational Memory across critical domains
- measurable improvement in decision outcomes
- traceable learning loops
- evidence of portability and organizational ownership
Transition criteria: Level 5 is the target state. Continued maturity requires ongoing measurement, governance, public review where appropriate, and adaptation as organizational conditions change.
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