Two people collaborating around a laptop

Private team training + applied mentoring

Build an AI system your team can actually run.

AI Enablement for Business Teams

Groxio helps your team turn company context, brand voice, and real business goals into repeatable AI workflows for marketing, content, launches, and operations. You learn the system, apply it to your company, measure the improvement, and leave able to run it yourselves.

Personalized setup

Company context, goals, and brand voice built in

Hands-on training

Learn the system in a safe fictitious-company sandbox

Applied mentoring

3-4 sessions focused on your real business goals

The problem

Your team uses AI. Your business does not have an AI system.

Useful experiments live in personal chats, prompts get rebuilt from scratch, and every new tool produces a different version of your company. Activity goes up, but the team does not become more consistent or self-sufficient.

Company knowledge is scattered across personal AI chats.

Content changes voice depending on who prompts the tool.

Teams rebuild prompts and context for every new task.

AI experiments never become a repeatable workflow.

Useful systems depend on one enthusiastic person.

The team gets outputs, but no capability it can own.

The goal is not more AI output. It is a team that can produce useful work on purpose.

Business outcomes

Build capability. Measure what changes.

We connect each AI capability to a business result and a practical measure. At kickoff, we establish a baseline. During the engagement, we track the work. At handoff, we report the lift without pre-promising a percentage.

Company context system

Improve your proposal hit rate

Measure: Win rate and time to proposal

On-brand voice, copy, and articles

Produce more without an agency

Measure: Pieces per week, time per piece, and cost

Repeatable review workflows

Quality stays high as output scales

Measure: Review time and rework rate

Product launch plans

Launch faster. Miss nothing.

Measure: Plan time, preparation cycle, and coverage

Marketing program design and execution

An engine, not one-off posts

Measure: Weeks on cadence, output, and leads

Meeting to action

Every call becomes decisions

Measure: Meeting-to-action time and follow-up completion

How the training works

Learn safely. Apply immediately.

Your team first builds a complete AI workflow for a fictitious company. That shared sandbox makes the method concrete without exposing sensitive business work too early.

Mentoring sessions then transfer the system to your real launch, campaign, content operation, or internal workflow. The final handoff makes the system yours.

1

Kickoff, diagnosis, and baseline

Map the company context, brand, team, and workflow that matters most, then record the current performance measures.

2

Build the system in a safe sandbox

Learn each part by creating a complete AI setup for a fictitious company together.

3

Apply it in 3-4 mentoring sessions

Transfer the method to your real launch, campaign, content system, or operating goal.

4

Handoff, ownership, and results

Review the measured lift and leave with the setup, workflow, and coaching system your team can operate and extend.

Who it is for

Teams ready to turn scattered experiments into an operating capability.

  • Companies that already use AI but lack shared context, standards, and repeatable workflows.
  • Marketing, content, founder, and operations teams that need useful output in a consistent voice.
  • Teams that want to build internal capability instead of outsourcing every AI-enabled workflow.
  • Organizations with a real launch, campaign, or business process to improve during mentoring.

A separate Groxio offer

Looking for AI training for an Elixir engineering team?

This page is for marketing, content, and business operations. Groxio's AI Engineering Enablement is a separate private training offer focused on architecture, review, and AI-assisted delivery in Elixir systems.

Explore AI Engineering Enablement

First step

Start with the workflow that matters most.

In a short diagnostic conversation, we look at how your team uses AI today, the business context the system needs, and the real workflow you want to improve. Then we decide whether this training and mentoring engagement is the right fit.

Paulo Valim

Paulo Valim

AI workflow practitioner and Groxio training lead

Where is your company context stored today?

Which marketing, content, launch, or operations workflow needs the most help?

What would your team need to own and run independently after the engagement?