This assessment does not measure how much AI technology you have. It evaluates your organization’s readiness to create business value from AI and Decision Intelligence across people and culture, governance and processes, and data and technology. Answer 10 quick questions — about two minutes — to understand your current AI readiness profile and identify the most practical next step.
Your AI readiness score.
Take the assessment and get a personalized read on your organization’s readiness to create business value from AI — and where to focus next.
Your readiness score
A single 1-to-5 benchmark for where your organization sits on AI readiness today — useful when you are making the case internally for what comes next.
Your readiness map
Your scores across people & culture, governance & processes, and data & technology, drawn as one shape you can read at a glance.
Your practical next step
Where you stand in each of the three areas, and the specific next step to move to the next stage of readiness.
Every organization sits somewhere on this scale. Most land in the middle, which is exactly where an honest assessment is most useful.
The five stages of AI readiness.
AI is on the agenda, but there is limited alignment on where to start and where value can be created.
What this looks like
“The CEO keeps asking about AI” — pressure is building faster than the plan
“Where do we begin?” has no agreed answer yet
No shared vision of where AI should create value first
Experimentation is isolated, and priorities are unclear
You could benefit from
An Executive Strategy Session that builds a shared, leadership-level view of AI
Work & Process Flow Mapping that shows where AI can contribute in the way your work actually runs
Clarity on which opportunities deserve investigation, and which can wait
A defensible answer the next time the board asks where AI is going
Recommendation
Conduct an Executive Strategy Session and explore Work & Process Flow Mapping to get a clear view of where AI can contribute to your business goals.
The organization has moved beyond awareness. Experiments are happening, but prioritization is difficult.
What this looks like
“We have several AI ideas — which one should we prioritize?”
The business value of individual ideas is unclear
Initiatives are individual-led rather than organization-backed
Executive confidence in the AI agenda is still limited
You could benefit from
Work & Process Flow Mapping to ground opportunities in how work actually runs
An AI Opportunity Scan that sizes your ideas by business impact
An Executive Strategy Session, where leadership alignment still needs strengthening
A prioritized AI roadmap linked to measurable business impact, backed by Executive level
Recommendation
Conduct an Executive Strategy Session, explore Work & Process Flow Mapping, and receive an AI Opportunity Scan to turn a list of ideas into a prioritized AI roadmap linked to measurable impact — backed by Executive level
Promising opportunities have been identified. The focus shifts from strategic intent to evidence. Feasibility for scaling is determined.
What this looks like
“We need proof before investing further” — stakeholders want evidence, not intent
“Is our data good enough?” keeps coming up, without a firm answer
Uncertainty about feasibility slows decisions that are otherwise ready
Skepticism from the stakeholders whose backing the initiative needs
You could benefit from
A Data Health Check that answers the data-quality question with evidence
An AI Prototype Sprint that turns the most promising idea into something tangible
Validated business cases supported by measurable outcomes
The confidence to invest — or to stop — based on proof rather than opinion
Recommendation
Run a Data Health Check and an AI Prototype Sprint to replace assumptions with evidence and validate the business case.
AI initiatives have demonstrated value. The challenge is moving from prototype to scalable adoption.
What this looks like
“The prototype works — how do we scale it?” is the live question
“How do we get the users to trust this tool?” — trust now decides adoption
Operational ownership and governance are not yet settled
Adoption and change management now decide the outcome, not the technology
You could benefit from
An Industrialize & Scale Plan — a clear path from prototype to sustainable production and adoption
A Data Health Check that confirms the foundations can carry production workloads
Settled ownership, governance and monitoring for business-critical AI
Adoption and change management planned as deliberately as the technology
Recommendation
Build an Industrialize & Scale Plan, backed by a Data Health Check, to take proven prototypes into sustainable production and adoption.
AI is becoming part of how decisions are made. The focus shifts to competitive advantage and continuous improvement.
What this looks like
AI is embedded in day-to-day decisions, not running alongside them
“How do we stay ahead?” matters more than “how do we start?”
The next gains sit in cross-functional optimization, not single use cases
Continuous innovation is the discipline that keeps the advantage
You could benefit from
An Advanced AI Opportunity Assessment to find the next wave of value
Work & Process Flow Mapping to extend AI across functions
Prototype Sprints and Scale Plans running on a continuous cadence
AI as a strategic capability that keeps improving planning, decisions and operations
Recommendation
Explore an Advanced AI Opportunity Assessment with ORTEC Lumina to keep finding the next opportunity before the market does.
Short answers to what business and technology leaders ask before running the assessment.
FAQs
Executives, transformation leaders, and business, operations, IT and data leaders exploring how to create measurable value from AI. It measures organizational readiness, not technical depth — no data science background is assumed.
About two minutes. Ten statements rated on a 1–5 agreement scale, and you can go back and change an answer at any point.
No. Every statement asks for your honest judgement about how your organization works today, never for a figure from a system. You can complete it from memory.
Each of the three areas — People & Culture, Governance & Processes, and Data & Technology — averages its questions, and your overall score is the average of all ten answers on a 1.0–5.0 scale. That score places you in one of five readiness stages, and the three areas are what the map shows.
We use your work email so ORTEC Lumina can contact you to help you navigate the AI journey. You can download your report or copy a shareable link straight from the results page, and your individual answers are not published or shared.
ORTEC Lumina is ORTEC’s Applied Decision Intelligence business. We help organizations solve complex planning and decision-making challenges by combining AI, optimization, advanced analytics and deep operational expertise. Our approach is practical and business-focused: we help organizations move from AI ambition to measurable impact by identifying opportunities, validating value, building prototypes and scaling successful solutions into day-to-day operations. Because successful AI is not just about technology — it’s about making better decisions. Faster. At scale.
