Corporate AI Training
Automations built by your own team, live in 30 days
Generic AI training measures attendee satisfaction. This program measures hours recovered, automations running in real workflows, and team skill levels certified through Applied-AI. It is led by Brian Arfi, a product leader who has been making companies leaner since long before the AI wave, saving over USD 4 million a year across a range of efficiency initiatives, and who now runs his own 8-channel AI content system every single day.
The Problem
The AI subscription is paid. The adoption is not.
The same pattern shows up at almost every company Brian talks to: ChatGPT or Copilot licenses have been running for months, yet the way the team works has not changed. AI gets used occasionally for questions, never for handing over actual work.
Stuck at the chat level
Employees treat AI like a smarter search engine. Ask, summarize, done. The repetitive work that should already be delegated to AI still gets done by hand, every day.
Seminars leave no trace
A speaker comes in, the audience is inspired, the photos look great. Three weeks later, not a single workflow has changed. Skills are built through repetition on real work, not by watching.
No numbers to show
When the board asks what last quarter's AI training delivered, the answer is a satisfaction score. Not hours recovered, not automations running. Training that is not measured is entertainment, not investment.
Why Brian
Efficiency is not a new trend for him
Brian Arfi Faridhi has spent 20 years building digital products at Tokopedia, Hijra, and Flip, and is now Director of Product at a fast-growing MENA superapp, leading four product teams. Long before AI was fashionable, he was driving efficiency initiatives, from process redesign and cost optimization to automation, worth millions of dollars a year.
"Making companies leaner is an old habit of mine, long before AI was trendy: over four million dollars a year across all kinds of initiatives, and automation was only one of them. That kind of leverage used to require seniority, engineering teams, and expensive systems. Now AI is the sharpest tool for the same habit, and it can be taught to everyone on your team."
Brian Arfi Faridhi
In the AI era, the proof is not a slide deck: an 8-channel system running daily without a team, the Applied-AI Certification he built to measure how well someone actually works with AI, and AI Circle, a paid community where professionals learn the same patterns.
The Programs
Three levels, one direction: an AI-native team
Start with the lowest-risk step. Each level stands on its own, and each one builds on the results of the level before it.
AI Reality Check
Rp 25 millionPay after the session · fee 100% credited toward a program within 60 days
Brian rebuilds one of your internal processes with AI, live in front of your leadership team. No canned demo.
- Applied-AI assessment for your whole team before the session
- Ranking of your 10 most hour-hungry workflows
- Baseline Applied-AI report per employee
AI-Native 30
From Rp 95 millionPer division, up to 25 people
By day 30: at least three automations built by your own team running in real workflows, with before-and-after hours recorded per participant.
- Two-day hands-on workshop built on the participants' real backlog
- Four weeks of coaching until the automations go live
- No invented case studies
Certified AI-Native Workforce
Custom, from Rp 300 millionRoughly two divisions · billed per milestone, procurement-friendly
Twelve weeks across divisions: internal automations live, every participant certified through Applied-AI, and a team that keeps running without Brian.
- Adoption dashboard for your leadership
- Three to five internal champions trained
- Applied-AI Certification for all participants
The Guarantee
Brian carries the risk, not you
Three layers, so this decision is easy to take to your board.
-
Pay after the session.
The AI Reality Check is paid after the session is over. If your leadership decides it was not useful, the invoice can be cancelled. Judge first, pay later.
-
100% credit.
The Reality Check fee becomes full credit toward AI-Native 30 or the 90-day program if you continue within 60 days. The cost of evaluating us is effectively zero.
-
Practitioner guarantee.
If no automation is running by day 30, Brian steps in and builds it himself until it runs, at no extra cost.
FAQ
The questions buyers ask most
How much does this AI training for employees cost?
There are three levels. The AI Reality Check (a half-day session for leadership plus an assessment of the whole team) is Rp 25 million, paid after the session. AI-Native 30 starts at Rp 95 million per division for up to 25 people, which works out to under Rp 4 million per person for a 30-day program with coaching. The Certified AI-Native Workforce program is custom, starting at Rp 300 million for roughly two divisions.
The Reality Check fee is 100% credited if you continue to a program within 60 days, so the cost of evaluating us is effectively zero.
How is this different from the AI seminars or training we have already bought?
It differs in what gets measured. Seminars measure attendee satisfaction; this program measures hours recovered and automations actually running. Every exercise uses the participants' real work backlog, not invented case studies, and every participant gets before-and-after numbers.
The promise is concrete: by day 30 of AI-Native 30, at least three automations built by your own team are running in real workflows.
Our team is not technical. Can they join?
Yes, and they are exactly who this is for. The program is designed for non-engineers: finance, operations, customer support, HR, marketing. Building automation used to require engineers and expensive systems. AI has made that kind of leverage learnable by non-technical people, and that is precisely what this program trains.
Everyone's level is mapped first through the Applied-AI assessment, so the material adapts to each person's starting point.
How will we know the program worked?
Through numbers, not testimonials. Before the program starts, we measure a baseline: how many hours the target work currently takes, plus an Applied-AI score per employee. At the end you get three kinds of proof: recorded before-and-after hours per participant, a list of automations live in real workflows, and, for the 90-day program, an adoption dashboard your leadership can open at any time.
And if by day 30 no automation is running, Brian steps in and builds it himself until it runs, at no extra cost.
What happens after the program ends and the trainer leaves?
That is the most valid objection to any training vendor, so it is answered in the program design itself. The 90-day program includes training three to five internal champions who can maintain and extend the system without Brian.
The automations are also built with your team, in your company's tools, so they belong to you rather than sitting inside a vendor's black box. The goal: AI capability that belongs to the organization, not to a consultant.
Start with a 30-minute conversation
Tell Brian which process at your company burns the most hours. He will assess whether an AI Reality Check makes sense for your team right now, and tell you honestly if it does not.