Methodology
This is not a proprietary scoring model invented from scratch. It synthesises established process and operations frameworks into a practical self-assessment that a management team can complete without external facilitation.
Process and Enterprise Maturity Model
Hammer's PEMM defines two axes of maturity: process-level maturity and enterprise-level maturity. It is the primary basis for the process design, governance, and accountability dimensions.
Shingo Model, EFQM-derived research, and assessment practice
Operational excellence research establishes that sustained performance requires review cadences, outcome-based KPIs, and systematic problem-solving routines.
Process documentation, standardization, and data-flow discipline
Valantic's framework emphasises end-to-end documentation, consistent SOP adoption, and clean data flows between systems. It informs the process design and data/systems dimensions.
AI and automation readiness thinking
Intelligent operations maturity treats automation and AI as outcomes of stable processes, clean data, governance controls, and human adoption. In this assessment, AI is offered as an optional add-on only when the operational foundation can support it.
This assessment is directional rather than a full audit. It gives you a practical view of where your operations stand, where the main constraints may be, and what to focus on next. A complete diagnosis would still require interviews, observation, and document review.
Scoring model
Each operational dimension is assessed on a 1-5 scale. The dimension scores are aggregated into a single overall score using a weighted model.
The weights reflect which dimensions most directly affect an organisation's ability to scale operations, delegate reliably, reduce firefighting, and introduce automation without failure.
An evidence confidence check is layered on top. It uses factual questions to adjust the reliability of the self-assessed result and flag potential over- or under-reporting. AI readiness is reported separately as an optional add-on when the foundation qualifies.
Maturity levels
The weighted score maps to one of five maturity levels, adapted from process maturity and CMM-inspired level definitions.
Level 1
1.0-1.8
Work depends on individuals and informal habits. Little is reliably repeatable.
Level 2
1.9-2.6
Some structure exists, but execution is inconsistent across people or locations.
Level 3
2.7-3.4
Core processes and roles are defined, but not consistently managed with data.
Level 4
3.5-4.2
Operations are actively measured, reviewed, and improved as a management routine.
Level 5
4.3-5.0
Foundations are strong enough to scale, automate, and use AI reliably.
This is a practical self-assessment, not a formal audit. Results reflect the information entered by the respondent and should be reviewed with operational evidence before major decisions.
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