SVC/03 · AI coaching

Make your team think with AI, not depend on it.

A coaching program that runs inside the AI tools your people already use, builds judgment on their real work, and shows the difference with before-and-after results.

  • Runs in your workspace
  • Measured on real work
  • Vendor-neutral

Your team is probably better at using AI in theory than in practice.

Your workspaceCoaching on

You

Draft the client email with the Q3 savings figure and send it to the group.

AI draft

Done. I've drafted the email stating Q3 savings of $1.42M and queued it to the group.

Coach · pre-send check nudge 2 of 3 today

This email leaves with a figure the AI produced. Want to confirm the $1.42M against the source sheet before it goes to the client?

Illustration: the coach steps in before an unchecked AI figure goes to a client.
  • 1 in 10

    people test as proficient with AI, yet 54% believe they already are.

    "54% of people think they're proficient – only 10% are."

    Source: Section, Jun 2025 (opens in a new tab)

  • 47.5 vs 33.1

    average proficiency score out of 100 where employers deployed AI agents and trained staff on them, versus deployed without training.

    5,000+ U.S. knowledge workers.

    Source: Section, Jul 2026 (opens in a new tab)

  • +127%

    higher practice grades with a GPT-4 tutor built with learning safeguards. The safeguards largely mitigated the drop in unaided grades seen with plain access.

    Field study, nearly a thousand high school math students.

    Source: Bastani et al., PNAS 2025 (opens in a new tab)

01The coach

A coach in the flow of work, not a course on the side.

It works alongside your team in the tools they already use, and steps in only where it counts.

  • 01

    Works in the flow

    Available when your people want feedback, and otherwise out of the way.

  • 02

    Speaks up when it matters

    It steps in at the moments that carry real risk, and stays quiet the rest of the time.

  • 03

    Honest feedback

    Many AI tools default to flattery. The coach tells people what they could do better.

  • 04

    Judgment first

    People form their own view, then use AI to sharpen it, so the work and the thinking stay theirs.

02Practice

Hands-on practice, built into the work.

Short, practical sessions on real tasks, so good habits stick.

  • 01

    Know when to trust it

    Your team learns where AI is reliable on their work, and where it needs a second look.

  • 02

    Keep skills sharp

    Practice that keeps core skills strong, so AI adds to what people can do instead of replacing it.

  • 03

    Better work, sent safely

    Simple habits that catch mistakes and protect confidential information before anything goes out.

03Results

Measured on real work, and private by design.

We assess the work your team produces before and after the program, so you can see the improvement for yourself.

What you get

  • Before-and-after results on real work
  • Each person sees their own progress privately
  • Leadership sees team-level results only
  • A report that shows where your team moved, and where to invest next

Start with a pilot

Prove it with one team before you commit.

Book a pilot

04How it works

Three steps, inside the tools you already run.

  1. Step 01

    Baseline

    A short, hands-on assessment shows where your team really stands.

  2. Step 02

    Coach in the flow

    Coaching and practice run inside the tools your team already uses, grounded in your own policies and work.

  3. Step 03

    Measure the lift

    We measure again on real work. You see the before-and-after; individuals keep their progress private.

05Why Limotta

Why this works when courses don't.

  • A

    Learning on real work

    Training happens in the real tool on real tasks, so it carries straight into the job.

  • B

    Built around your business

    Your policies and your workflows, not generic tips.

  • C

    Vendor-neutral

    We coach on whichever AI platform you already run.

  • D

    Measured results

    Progress is measured on the work your team produces.

06AI governance

Ready for the AI questions customers will ask.

When customers, insurers or your board ask how you manage AI risk, we help you have a good answer. This is readiness work; formal certification comes from an accredited body.

  • 01

    Know what's in use

    A clear view of the AI tools across your business and what information each one can see.

  • 02

    Readiness assessment

    Where you stand against the frameworks customers and insurers ask about, with a prioritized plan.

  • 03

    Policy and ownership

    An AI policy people can follow, with clear ownership for each AI system.

  • 04

    Vendor review

    What the AI features in your software do with your data, and what to adjust.

AI system testing

07Automation

Then automate the busywork.

Once your team uses AI well, we help you put it to work safely.

  • Routine workflows automated, with people approving what matters
  • AI assistants rolled out safely, with your data protected
  • Onboarding, maintenance and reporting that run on schedule

Next step

Tell us what's slowing you down.

Start with a short call, no slide deck. We reply within one business day.