Upskilling

Build real AI fluency across your team

See where your team stands with AI today. Then run training built on what they actually need, and measure the growth.

Most AI trainings are generic

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01

Training is built for nobody in particular.

A video course teaches the same thing to the person who has never opened a chat window and the person already running agents. Neither one is met where they are.

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02

Learning about AI isn't practicing with it.

People finish the course, then open a blank chat on Monday against a real deadline. The practice never happens on the work that counts, and the feedback never arrives.

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03

You can't tell who needs what.

You can see that AI gets used, not how well. Seat counts and message volume don't answer it, and the sessions that would are private, and should stay that way.

How Gradient upskilling works

See where your team stands

Everyone takes the same Gradient exercise and practices doing realistic work with AI.

Personalized feedback for everyone

We surface personalized feedback for each team member, and help you share best practices across the group.

Training, if you want it

Optionally, Gradient runs training customized to the results.

Measure the growth

A second Gradient exercise measures the growth.

See an example

Everyone on your team gets a report like this, grounded in the work they actually did.

GradientAICandidate feedback report

New account outreach plan

Feedback for Jordan Rivera

Account Executive · completed in 28 minutes

85/100
Proficient

You used AI thoughtfully for sourced research and outreach, with clear room to pressure-test decisions and tighten the final draft.


Your scores

Setup

You gathered the right inputs before drafting. Next time, invoke the reusable skill you built and split the work across focused chats.

Proficient3 of 4

Direction

Precise, bounded instructions, and you iterated well on sourcing, tone, and length.

Advanced4 of 4

Judgment

You made the AI show sources and label uncertainty. Next, have it argue against your first pick before you commit.

Advanced4 of 4

What the lift looks like

A team's average score on each competency, before and after a round of training.

Before trainingAfter training
Bar length = size of the change

AI Fluency

Mindset
43%60%
+17
Judgment
46%62%
+16
Direction
58%70%
+12
Deliverable
65%70%
+5
Setup
61%66%
+5
Every competency went up after one round of training.

Want the full picture, per-person feedback and the team view? Explore the demo.

Ready to grow your team's AI fluency?

Tell us about your team and we'll show you what this looks like for them.