AI & Transformation Readiness Assessment
Is the process ready? Is the organisation ready? Is AI the right solution? Assess process maturity, data reliability, technology integration, workforce capability, governance and measurable business value before committing to AI-enabled transformation.
- Six readiness dimensions
- Readiness index from 0 to 100
- A decision gate for every AI use case
AI adoption is not the same as AI readiness
Many organisations begin with the technology. We begin with the business problem, the process, the data and the value expected from the transformation.
We do not begin by asking which AI tool you should adopt. We begin by asking which problem is worth solving, whether the process and data are ready, and how the organisation will prove that the transformation created value.
The six-dimension readiness framework
The assessment evaluates both organisational readiness and the readiness of a specific process or AI use case.
Process maturity
Process ownership, process definition, CTQs, performance measures, stability and problem definition.
Data and measurement reliability
Operational definitions, data availability, data quality, measurement reliability, traceability and ownership.
Technology and integration
Digital capture, interoperability, infrastructure, workflow integration, cybersecurity and scalability.
People and workforce capability
AI literacy, process competence, analytical capability, change readiness, human oversight and learning capability.
Governance, risk and leadership
Sponsorship, decision rights, risk assessment, oversight, monitoring, escalation and continuous review.
Value and benefits realisation
Business problem, baseline, target condition, economic value, alternative solutions and benefits ownership.
One readiness score is not enough
A strong technology score cannot compensate for poor data quality, weak process control or absent governance. The GLSS model therefore combines an overall index with minimum thresholds for critical dimensions.
Fundamental prerequisites are absent.
Significant capability gaps must be addressed.
A pilot may be possible after priority gaps are closed.
Strong foundations exist. Proceed with governance and control.
The organisation may be ready for broader deployment.
Critical rule: no organisation is rated “Ready for controlled pilot” if any critical dimension falls below 50%, and no organisation is rated “Scale ready” if any dimension falls below 70%.
The AI use-case gate
Even a mature organisation can choose the wrong use case. Every proposed AI application is therefore assessed against a separate decision gate.
Business and process fit
- Is the problem clearly defined?
- Is it materially important?
- Is current performance baselined?
- Is the process sufficiently understood and stable?
- Could a simpler solution solve the problem?
Deployment and control fit
- Is sufficient reliable data available?
- Can AI output be integrated into the workflow?
- Are risks and human oversight understood?
- Is measurable success defined?
- Is there a responsible owner for benefits and control?
AI or not AI?
The assessment explicitly challenges technology-first thinking.
- Is there a meaningful business or process problem?No: stop. Yes: continue.
- Is the process understood and measured?No: process discovery, Lean and measurement first.
- Is the process unstable or fundamentally broken?Yes: stabilise or redesign before introducing AI.
- Could standard work, workflow redesign, business rules or conventional automation solve the problem adequately?Yes: evaluate the simpler solution first.
- Does AI add value through prediction, classification, pattern recognition, natural language processing, image recognition, optimisation or complex decision support?Yes: proceed to data, risk, people, technology and benefits readiness.
What you receive
Readiness index
A structured 0 to 100 assessment of organisational AI and transformation readiness.
Six-dimension heatmap
A clear view of strengths, gating weaknesses and priority capability gaps.
AI use-case decision
Do not proceed, prepare, pilot or scale.
Critical risk summary
Key operational, data, people, technology and governance risks.
Prioritised roadmap
Actions structured by business impact, urgency and readiness dependency.
Training needs analysis
Role-based capability requirements for executives, process owners, practitioners and employees.
How the engagement works
- Leadership interviewClarify strategy, transformation objectives, AI ambition and priority business outcomes.
- Process selectionSelect one priority process or proposed AI use case.
- Readiness assessmentEvaluate process, data, technology, people, governance and value.
- Evidence reviewValidate responses against process evidence, data and documentation.
- AI use-case gateDetermine whether the use case should stop, prepare, pilot or scale.
- Management readoutPresent the heatmap, critical gaps, recommended actions and capability priorities.
Training needs by role
Executives
AI strategy, governance, value realisation, portfolio prioritisation and risk.
Process owners
Process management, KPI design, redesign, AI use-case definition and daily management.
Green Belts and Black Belts
Data quality, AI-assisted analysis, statistical validation, process mining and benefits validation.
Employees
AI literacy, new standard work, human oversight, escalation and data discipline.
Who is this assessment for?
From assessment to action
Consulting pathway
Process redesign, DMAIC, data quality, KPI architecture, governance, pilot design and benefits validation.
Capability pathway
AI literacy, Lean Six Sigma, process ownership, management systems, leadership and change capability.
The assessment does not assume that AI is the answer. It identifies whether the business problem is meaningful, whether the organisation is ready, and whether a simpler or more appropriate improvement route should be considered first.
Related services
Frequently asked questions
How is this different from AI-Ready Processes?
The assessment answers whether the organisation and a specific process are ready for AI. The AI-Ready Processes service then does the work: simplifying, standardising and measuring the process before AI.
Do we need to have chosen an AI tool already?
No. The assessment is independent of software vendors and starts from the problem, not the tool.
What does the 0 to 100 index mean?
It is the overall readiness score. It is combined with minimum thresholds per dimension, so a high score in one dimension cannot hide a critical gap in another.
Can the outcome be “not AI”?
Yes. If a simpler solution, such as standard work, redesign or conventional automation, solves the problem, that is the recommendation.
Where do you run the assessment?
For organisations in Greece, Cyprus and Europe, in Greek or English.
Assess readiness before investing in transformation.
Understand the process. Validate the data. Test the use case. Define the value. Build the capability.