Alex Otsubo · automate100
I put AI to work inside your operation — and show you the number.
WhatsApp support that answers in seconds, integrations that never duplicate an order, AI cost cut by 89%. All in production, all measured. If it can't be measured, I don't sell it.
Measured in production
Who it's for
Service businesses that lose money between the lead and the reply
Schools, clinics, e-commerce with a CRM, professional firms. If your customer arrives on WhatsApp and someone is slow to answer, this site is for you.
Business WhatsApp with AI in two modes: replies on its own or drafts for a human. Measured in seconds, not promises.
Store, ERP, CRM, spreadsheet, learning platform. Integrations that never duplicate, never lose, and alert when something is off.
Triage before the model, caching, a benchmark before switching vendors. Same result for a fraction of the cost.
Cases
Each one with what was built, what was measured, and what the client did not have to do.
AI-powered pronunciation feedback for an online English school
Five teachers correct students' pronunciation every day using a system that listens to the audio, compares it to the lesson's target, and returns feedback — at a per-audio cost 89% lower than the first version.
AI-powered WhatsApp support, measured in seconds
A school's business WhatsApp began responding with a median time of 96 seconds, complete with a monitoring dashboard, imported history, and two response modes — without changing the number or the phone.
Online store and ERP talking to the CRM — without duplicating a single order
Orders from Nuvemshop and Bling now automatically become deals in the CRM. The duplicate race that showed up during every sales spike was eliminated with a serial queue and a safety sweep.
+38% capacity across a transcription fleet, without buying hardware
A benchmark of 789 real audio files revealed that the speech recognizer was resampling up to six times per file. Fixing one parameter cut −27% off processing time per audio file, confirmed in production the same day.
Voice agents: from HUD to a voice-driven terminal
Three voice systems in production: a WhatsApp assistant that talks, a JARVIS-style panel with camera and tools, and a bridge that lets you give a code agent voice commands and get a spoken summary back.
Infrastructure that fits in $5/month and comes back on any machine
Everything runs on Cloudflare (Workers, Pages, R2, KV, D1) with a cost ceiling enforced in code. Encrypted backup to two destinations, and a recovery kit that restores the entire environment on a clean machine — tested, not just promised.
How it works
Three formats, one clear next step
1. One-page diagnostic
In 5 business days: what is costing you, where AI fits, how much you can gain — measured, not guessed. If the measurement kills the idea, I say so.
2. 30-day implementation
A system in production, with a restore point first, automated tests, and the number we agreed on the wall.
3. Monthly operations
Review, alerts and continuous improvements. One report per month with verified findings.
Questions that come up in the first call
Do I need to switch systems?
No. Everything in the cases was built on top of what the client already used — WhatsApp, store, ERP, learning platform.
What if it does not work?
That is what the diagnostic is for: measure first. It has happened that the measurement killed the proposal — and I delivered the "not worth it" instead.
Who are the clients?
Anonymized by default. In a call, with each client's permission, I share names and references.
Do you work in English?
Yes. Calls, proposals and delivery in English or Portuguese. Based in Brazil; hours arranged by time zone.
Start with the number
Tell me where your customer waits. In 5 business days you get one page with the math done.