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AI Implementation

This isn't an AI course. It's wild implementation.

Every member of your team walks away with 1 or 2 automated processes, in production and running in their day to day. It's not knowledge transfer — it's implementation delivered.

Why this program exists

The problem isn't knowing which tools exist. It's implementing them.

Most companies pay for training, hand out certificates, and a month later nobody uses any of it. The tools stay in the browser, the workflows remain manual and costs don't go down.

Why traditional courses fail

  • Your team learns what ChatGPT is, but nobody automates a real process
  • The tools taught don't apply to your company's specific case
  • There's no accountability: whoever learns isn't required to produce anything concrete
  • Without support, the first technical hurdle stops everything and people give up

You pay for implementation

Our program was born to solve exactly that. Each participant picks a real process from their day to day and leaves it automated, in production, before we're done. You pay for implementation, not for classroom hours.

Schedule first session
How we deliver it

Three phases so every team member leaves with their automation up and running.

  1. .01
    Fase 01

    On-site kickoff: discover and choose

    We come to your company. In an on-site session we show, live, all the AI tools relevant to your operation: what each one does, where it adds value, which ones combine. It's not a lecture — it's a guided exploration. By the end, each participant walks out of the room with a concrete process from their day to day assigned to automate. Not with notes: with a project.

  2. .02
    Fase 02

    Supported implementation: videos + 1-on-1 virtual

    Each participant works on their project with two support channels: a library of pre-recorded videos that goes deep on each tool at their own pace, and one-on-one calls with our team to unblock whatever they can't solve alone. This is where the automation goes from idea to production. No participants left on their own: each person gets real support until their process is up and running.

  3. .03
    Fase 03

    On-site delivery: group accountability

    We come back to your company. Each participant presents to their peers what they automated, how it works and how much time it saves them. The session closes the cycle with a concrete deliverable — not a certificate — and multiplies the learning, because each solution ends up inspiring other areas. We leave once every team member can show their automation running.

The commitment

Every team member leaves with 1 or 2 automated tasks and running.

It's not the optimistic promise of a course. It's the contractual outcome of the program. If by the close of phase 3 someone on your team doesn't have their automation running, we're not done. That's the difference between paying to train and paying to implement.

  • 01

    At least one automation per person, in production

  • 02

    Documented and maintainable by your team after we leave

  • 03

    Demonstrated in front of their peers before the close

What we need from your side

For the implementation to work, your company brings three things.

01

Your team and their pain points

  • Between 8 and 25 people with heavy manual processes
  • A prior interview with leaders to map critical areas
  • Each participant brings a real process they want to automate to phase 1
02

The right licenses

  • LFT tells you which licenses need to be active before starting
  • Usually Google Workspace or Microsoft 365 (whatever your company already uses) + 1 or 2 specific AI platforms
  • Without the licenses active, phase 2 stalls: that's the hard limit
03

Space for the 2 on-site sessions

  • A room that fits all participants with laptops
  • Projector / screen and stable connectivity
  • 2 days reserved on the team's calendar (kickoff + delivery)
They trust our training

Companies that have already trained their teams with LFT.

La VirginiaFyOFexaArcorNorwan GroupWanderSpeedWayStrada
Gallery

Teams in action during our training programs.

Team working during a training session
Participants in a hands-on AI session
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Frequently asked questions

What teams usually ask us before starting.

If you have a question that isn't here, we'll sort it out on the first call.

Can I choose the AI tools I want my team to be trained on?

The standard program comes with a defined set of tools we know work well together. If your company needs to work on a specific tool outside that set, we evaluate it in the kickoff meeting — it's possible to add it, but it changes the scope and the price. The rule is: we prioritize what will actually get implemented, not what would be nice to teach.

How do I keep track of the team's attendance and projects?

We give you a campus customized for your company. There you take on-site and virtual attendance, see the projects each team member chose in phase 1, track progress during phase 2, access the video material and review the final deliverables with their grades. It's the hard data you keep to audit the program.

What information does my company keep after the program?

The main thing: the automations running. Each participant leaves their solution running in their area, documented and maintainable by your team. On top of that, from the campus you take away the detail of which processes each person wanted to automate, which reached production, which tools they ended up using and which pain points were left unresolved — that map is the input for planning the next wave.

What format is it in and on which days does it take place?

We run the two on-site sessions (kickoff and delivery) at your company, on days we coordinate with your team. The 1-on-1 calls in phase 2 are virtual, scheduled around each participant's availability. The video library stays accessible 24/7 from the campus. The total duration is agreed in the kickoff meeting based on the team's size and the complexity of the chosen processes.

Which licenses do I need to have purchased before starting?

Before phase 1 we tell you exactly which licenses need to be active for the automations we're going to implement to work. It generally includes Google Workspace or Microsoft 365 (whatever your company already uses) plus 1 or 2 specific AI platforms depending on the processes we'll tackle. It's a non-negotiable requirement: without the licenses active, the implementation stalls in phase 2.

Let's schedule the first session.

30 minutes to understand what your team does, which tools they already use and which processes are draining the most time. We leave this call with a first map of which automations would have the most impact and how we'd structure the 3 phases for your company.

Schedule first session