AI proficiency, also called the AI Fluency Index, measures how effectively employees prompt AI agents, scored from 0 to 100 across six dimensions of prompt quality. Nebuly is the ROI platform for enterprise AI, and its AI Proficiency analysis turns prompt quality into a single trackable score by team and business unit, so leaders can see who uses AI well, who needs training, and how capability connects to productivity and ROI.
AI proficiency is a measurable indicator of how effectively employees interact with AI, based on the quality of their prompts. It scores how well people use AI, not just whether they use it.
Most companies measure adoption through licenses, active users, conversation volume, or training completion. Those numbers show that employees use AI, but not how well. AI literacy, not simply AI access, is one of the biggest factors in whether an organization sees a return on its AI investment.
Employees who struggle to communicate with AI need more conversation turns, generate more retries, receive lower-quality outputs, and spend more time on the same tasks. The result is lower productivity and reduced ROI even when adoption looks high.
Each interaction is scored across six dimensions, then combined into one weighted score from 0 to 100.
The four proficiency levels
Every score maps to one of four capability levels.
With AI proficiency you can compare teams and business units, identify who needs training, track improvement after enablement, and connect workforce capability to productivity and AI ROI. Proficiency is one of Nebuly’s three measures of AI value: time saved, revenue influenced, and AI proficiency.
What is AI proficiency?
AI proficiency, also called AI fluency, is how effectively people use AI. It reflects the quality of their prompts and interactions, not how often they use AI.
What is the AI Proficiency Score?
The AI Proficiency Score, also called the AI Fluency Index, is Nebuly's 0 to 100 measure of how well someone uses AI. Proficiency is the skill; the score is how Nebuly measures it, based on the quality of prompts and interactions.
How is the AI proficiency score calculated?
Nebuly scores each interaction across six weighted dimensions of prompt quality: task clarity (30%), context provision (25%), output specification (20%), prompt length (10%), conversation efficiency (10%), and constraint specification (5%). The result is a score from 0 to 100 and one of four levels: Novice, Beginner, Practitioner, or Expert.
How is AI proficiency different from AI adoption?
Adoption measures whether people use AI, through metrics like active users and conversation volume. Proficiency measures how well they use it. High adoption with low proficiency means AI is used but not used effectively.
Why does AI proficiency matter for ROI?
The value AI creates depends on how well people use it. Higher proficiency produces better outcomes from the same tools, so it directly affects time saved and results. Measuring proficiency shows where better prompting or enablement would raise the return on your AI investment.
