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You already pay for the AI. Now find out who can actually use it.

What leaders get

AI Litmus coaches every person on how well they use the tools you already own, then hands their leader the exact move that unlocks the team. Calibrated to each role. About two weeks.

A person at their laptop with two AI Coach nudges above the desk: how am I doing, answered with good context, and what next, answered with revisit in 2 weeks.
The AI Litmus executive dashboard: 12 teams, 248 active users, 156 workflows analysed, 30 people needing content training, 189 workflows run and 1,248 hours saved.
AI-native · run by KrishA private coach for every employeeAn enablement plan for every leaderCalibrated to the role, not a generic scoreROI you can defend
Meet KrishAI agent
Our AI runs every conversation.

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.

What you walk away with

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

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.

ROI

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

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.

Adoption

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.

The proprietary model

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.

A profile is four things
Company functionOps, Sales, Marketing, Support, Consulting
RoleWhat this person is actually hired to do
Day-to-dayThe workflows that fill their real week
SeniorityJunior, mid or senior expectations
BenchmarkEvery person is scored against their own profile's benchmark, so the gap you see is the gap that matters for that role.
What we measure

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

01

Can they talk to AI and understand what it does?

Prompting & Direction

Clear, structured prompts. Delegating a task to AI so it actually lands.

AI & Tool Literacy

Which tools, how deeply, and a real sense of where capability ends.

Application

02

Can they use AI productively and safely in real work?

Workflow Integration

Isolated dabbling versus AI embedded in the daily job, as repeatable workflows.

Critical Thinking & Judgment

Verifies output, catches hallucinations, questions quality instead of pasting.

Amplification

03

Do they multiply AI impact beyond themselves?

Growth & Team Influence

Learning agility, sharing what works, championing adoption across the team.

The ladder

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.

1Absent

AI is not part of their work at all.

2Experimental

Has tried AI tools, but inconsistently.

3Functional

Uses AI for specific tasks, occasionally.

4Integrated

AI is embedded in daily workflows.

5Multiplier

Drives adoption and builds for the team.

Start with one team

Watch the coach's read build for one of your teams.

A private conversation per person, a role-calibrated read of how well they use what you already own, and the exact enablement move for their leader. About two weeks.

How it works

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.

Delegation

Handing off the right work

Do they split a task into the part AI should own and the part that still needs their judgment?

Description

Getting AI to land it

Can they turn a fuzzy goal into an instruction clear enough to get a usable result?

Discernment

Catching what's wrong

We slip a subtle mistake into an answer. Do they notice, or accept it? Either way, it tells us something.

Diligence

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.

Find out who can actually use what you already pay for.

One team. A private coaching read for each person, the enablement move for their leader, and an ROI case you can defend. In about two weeks.