Training / Rollout support

Training / rollout support

We don't treat an LMS or AI rollout as done at go-live. The goal is to get the tools actually used on the ground and turned into day-to-day habit.

Talk to us about rollout

Start by telling us what's not working. No hard sell.

Problem

Why rollout support matters

Even with AI and a learning platform in place, it's common to hear "only a few people are using it" or "everyone reverted to the old way."

Only a handful of people use it

A few early adopters try it, and it never lifts the wider organisation's skills.

Everyone reverts to the old way

It gets used at first, but as soon as work gets busy people fall back to the old process.

The floor and HQ drift apart

Head office tracks completion rates while the front line feels none of it relates to their actual job.

Difference

How this differs from a traditional LMS

Shipping courses and watching completion rates doesn't make AI stick in real work. We design for the part that matters — learning that turns into business improvement.

Traditional LMS Manabu2
Purpose Track course completion Learning that improves the work
Material Buy generic content AI generates it from your own operations
Getting started Weeks of authoring An AI draft in minutes to hours
Updates Cost and effort every time Regenerate instantly with AI
Adoption Delivered, then you're on your own Supported through onboarding and operations
Executive visibility Completion rate only Skill trends through to return on investment

Support

What rollout support actually includes

Learning, the work itself, and AI usage stay connected — so learning lands naturally in day-to-day work.

Initial setup support

Org structure, roles, learning-path design, etc.

Employee onboarding support

Align on "what's available" and "how to use it" from day one

Admin / HR operations support

Progress reading, adoption monitoring, operating rules

Guidance on AI + RAG usage

Balancing openness with governance

Process

How a rollout runs

Roughly this shape. Timing and scope adapt to the size of the teams involved and the material you already have.

1

Kick-off and current state

We map your current operational pain, where AI adoption stands today, and which teams to start with.

2

Initial setup

Organisations, departments and members are registered, with roles and workspaces configured.

3

AI-generated material, reviewed

AI drafts the material from your own operational context. Your team reviews and refines instead of authoring from scratch.

4

Employee onboarding

Learning paths go out, and the front line can start without wondering where to begin.

5

Operate, measure, improve

Progress and skill trends become visible and feed the next improvement cycle. This is where the real work starts.

Approach

How we think about training

Training here isn't slide-led classroom learning.

It's anchored in the real work and real challenges — hands on the keyboard, with the goal that after training, the "what do I do next" is clear.

Who this works for

Companies that don't want AI to stay a slogan
Companies trying to close the gap between the field and management
Companies growing internal people who can lead AI adoption
Companies that want learning and real work tied together

FAQ

Frequently asked

No — you can use the platform on its own. We recommend pairing it with rollout support if what matters to you is that it actually gets used and sticks.
That's fine. We can start from sharing how to think about AI adoption and go as far as helping you stand up an internal AI team (CoE), step by step.
Yes. Existing material can be brought in and restructured into courses with AI.
Yes. Start on the free plan (5 seats) and expand as you need to.
It depends on the size of the teams involved, the material you already have, and how far along your AI adoption is. Tell us where you are and we'll propose a realistic path.

Get in touch

Rollout and training content gets tailored to each company's situation and goals. Reach out via the contact form for details.

Contact us