How AI-fluent are your teams, really?
See where the hours and ROI are hiding, and exactly who needs what to get there. A read calibrated to every role you employ, person by person.
Krish is the private AI agent behind the platform. It reads five fluency dimensions across four real moves in real time and closes gracefully when you're done, so being measured feels like talking to a coach, never filling in a survey.
A team that actually uses AI, and the ROI to prove it.
AI Litmus is not a readiness quiz that ends in a certificate. It ends in recovered hours, a defensible business case, and a clear first move for every person.
Hours back, every week
People stop grinding on the work AI should be doing and reinvest the time in the work only they can do.
An ROI case you can defend
A conservative business case finance can actually check, staged from directional to validated as the evidence lands. Never a headline number.
Training that hits the real gap
Instead of a generic workshop for everyone, each person gets the exact next step for their role, so the budget goes where it moves output.
The adoption gap, surfaced
The tools you already pay for that nobody uses, and the ones people use but quietly outgrew. Your next rupee goes to the gap that matters.
Every number is deliberately conservative, and we always show you how firm it is, so you can take it into the room and stand behind it.
Not a generic readiness deck. A model that understands every role you employ.
A one-size rubric scores a salesperson and a support agent on the same scale, which tells you nothing. AI Litmus builds a profile for each person, then measures fluency against what that role actually needs.
The sponsor confirms your company's real functions up front, so every score is calibrated to your org, not a template.
Five dimensions, grouped into three questions.
The framework is built on the US DOL AI Literacy Framework, Anthropic's AI Fluency work, and UNESCO's competency levels. Five dimensions ladder from foundation to amplification.
Foundation
01Can they talk to AI and understand what it does?
Clear, structured prompts. Delegating a task to AI so it actually lands.
Which tools, how deeply, and a real sense of where capability ends.
Application
02Can they use AI productively and safely in real work?
Isolated dabbling versus AI embedded in the daily job, as repeatable workflows.
Verifies output, catches hallucinations, questions quality instead of pasting.
Amplification
03Do they multiply AI impact beyond themselves?
Learning agility, sharing what works, championing adoption across the team.
Every dimension lands on a five-level ladder.
From absent to multiplier. The point is not a grade, it is knowing the next rung, so training targets the exact gap for each person.
AI is not part of their work at all.
Has tried AI tools, but inconsistently.
Uses AI for specific tasks, occasionally.
AI is embedded in daily workflows.
Drives adoption and builds for the team.
Watch a real profile build for one of your teams.
Private conversations, a role-calibrated fluency profile per person, and the exact next rung for each. About two weeks.
A short conversation, read the way a coach would.
No multiple-choice quiz. Each person has a genuine, private conversation. We watch how they actually work with AI across four moves, then score it with our own engine.
Handing off the right work
Do they split a task into the part AI should own and the part that still needs their judgment?
Getting AI to land it
Can they turn a fuzzy goal into an instruction clear enough to get a usable result?
Catching what's wrong
We slip a subtle mistake into an answer. Do they notice, or accept it? Either way, it tells us something.
Owning the output
Do they check the work, and are they honest about where AI helped? Responsibility is part of fluency.
This isn't a chatbot grading a chatbot. We built our own scoring engine that reads each person's real words and holds the result. The model only corroborates it, so the score is consistent, defensible and genuinely ours.
See your teams' real AI fluency, role by role.
One team, private conversations, a role-calibrated profile for each person, and an ROI case you can defend. In about two weeks.
