AI Academy · Corporate In-Company Program
Train your organization in AI with the same rigor used to deliver it.
In-company training for IT and business teams. Every session is co-facilitated by a business lead and a technical lead — so every AI capability has a why, and every business idea has a how.
The method
Four blocks everyone understands. Two tracks that go deep.
The entire program is built on four capability blocks. They are the same ones we use in consulting — now we teach them with the same rigor.
Productivity
AI applied to daily tasks: summaries, drafts, data extraction, internal communications.
Assets
Building prompts, templates, and knowledge bases that stay within the organization.
Decisions
Analysis, prioritization, and initiative evaluation with data. AI as a structured second opinion.
Workflows
Automation of repetitive processes: approvals, reports, routing, alerts powered by agents.
For IT and development teams
Agents, tech stack, permissions, connectors, observability. 8 sessions of 90 min, groups of up to 12.
For functional areas and leadership
AI with existing tools, initiative mapping, real-world use cases from your industry. 8 sessions of 90 min, groups of up to 12.
The program
One course that opens everything. Two tracks that make it real.
The Flagship introduces the mindset and the framework. The tracks turn that into installed capacity for each profile.
Applied AI Fundamentals
8 sessions · 60 min · up to 20 participants.
The foundational course that aligns the entire organization. Covers all four blocks
(Productivity, Assets, Decisions, Workflows) with an executive focus. The ideal starting point.
AI for technology teams
8 sessions · 90 min · up to 12 participants.
AI agents, infrastructure stack, permissions and governance, connectors to internal
systems, observability and production monitoring.
AI for functional areas
8 sessions · 90 min · up to 12 participants.
AI with the tools you already have, initiative mapping by department, building real
use cases, measuring impact and adoption.
The ABARGON signature
Two voices in every session.
No session is delivered by a single person. There is always a duo: a business profile and a technical profile, facilitating together.
The why
Translates every technical capability into measurable impact. Connects each session to real KPIs, existing processes, and board-level decisions. Ensures no one leaves with a tool but no objective.
The how
Demonstrates capabilities live, sets up hands-on exercises, and resolves implementation questions. Ensures no one leaves with an idea but no viable path to execute it.
Packages
Three ways to get started.
Every package includes dual facilitation, working materials, and post-program support.
Applied AI Fundamentals
- 1 group of up to 20 participants.
- 8 sessions, 60 minutes each.
- Dual facilitation (business + technical).
- Materials and exercises included.
Flagship + Technical Track
- 2 groups (Flagship + Technical Track).
- 16 sessions total.
- Up to 20 + 12 participants.
- Deep dive: agents, stack, permissions, connectors.
Flagship + Technical + Business
- 5 groups (1 Flagship + 2 Technical + 2 Business).
- 40 sessions total.
- Up to 68 participants.
- Full coverage: IT and functional areas.
Deep-Dive Coaching
Add-on to any package · 12 sessions · team of up to 6 · $377,000 MXN.
Dedicated support to help teams take what they learned into real production.
I am a...
The offering stays the same. The conversation changes.
Same program, different angle. Here is how each role sees it.
Enable without losing control
Your team adopts AI with governance, not shadow IT. Every track includes guardrails, permissions, and an observability plan you define.
Installed capacity, not dependency
What is taught stays in the organization. This is not a consultant who leaves — it is your team learning to operate AI on their own.
Reskilling with evidence
A measurable program: attendance, exercises completed, cases delivered. You can report real impact, not just training hours.
Start by aligning. Finish by activating.
A 30-minute conversation to understand your context, define scope, and propose the package that makes sense.
Schedule a conversation