Johanssen Apit with Flow J, the Flowify robot, on his head

The work you still do by hand? Let's make it run on its own.

Flowify builds automation that runs inside your business: intake, back office, leads. Built by two humans and a disciplined AI crew, tested on real work, and proven with evidence before you pay the rest.

Talk to us See how we work

We know what a missed call costs.

Before Flowify, Johanssen ran a grill restaurant and managed a telecom store. Double-booked afternoons, invoices done at midnight, the phone ringing while the front desk was already on another call. Most small businesses run on someone remembering. That someone is usually the owner.

It should not take a person watching the inbox at 11pm to keep a business running.

How we work with AI, and what it is never allowed to do.

Most "AI automation" shops will not tell you how the work gets made. We will, because the rules are the product.

AI never touches production. A human presses deploy.
Every build ships with the logs that prove it ran.
No client data enters the AI. Ever.
Every build is checked by something that did not write it.

Leonardo.
Plans. Writes the spec and the brief before anything is built.
Never writes production code.
Donatello.
Builds. Works inside a fenced sandbox, tests everything, ships evidence.
Never touches production. Never holds a real credential.
Raphael.
Audits. Reads Donatello's work blind, without his keys or his access.
Never shares a machine with the builder.
Michelangelo.
The crew. Parallel builders for big jobs.
In training. Not on client work yet.

Nicknamed after the turtles. Run by two humans. Nothing goes live without a human hand.

Johanssen Apit, Founder.
Builds the systems. Decides and deploys. Works from the Philippines with clients in Canada, the US and Australia.
Hani Apit, Marketing.
Runs Flowify's marketing, socials and video. Also builds her own brand, The Marketer Wife [[LINK: Hani's Instagram or Facebook page address]].

Production systems, not demos.

Most automation projects stop at a working prototype. Ours stop when the system has run in a business, on real work, with logs that prove it. Six of them, below. Every screen is rebuilt from the live system with the client's details removed; every number beside a screen is measured.

Second business line, 2026

The phone that answers

First live call

two way audio, live on the second line, September 2026

One operator, two business lines, each answering with its own number, with warm transfer through reception.

A two line business phone console with an active call, voicemail transcripts and a message thread, sample data. — Recreated from the live system, client details removed.

Intake desk, 2026

The screen someone opens every morning

permissioned actions, each risk tiered and logged

One dashboard over a whole operation, opened every working day by the intake desk, with an audit row for every action and a kill switch beside it.

An operations dashboard with an audit feed, an approvals queue, a masked contact card and a kill switch, sample data. — Recreated from the live system, client details removed.

Migration, 2026

The move that lost nothing

1,857

records migrated, zero loss

Three incidents on the way, each documented with its fix, and not one record dropped.

A migration reconcile panel showing source and destination counts matching, sample data. — Recreated from the live system, client details removed.

Farm lot developer, 2025

Comments into leads

106

leads captured in the first three days after go live

Facebook comments and messages answered in seconds, around the clock, in the customer's own mix of languages, with a clean handoff to a human agent the moment money comes up.

A lead here means a captured conversation, not a qualified or booked one.

A messenger thread beside a lead record, showing a bot handing the conversation to a human agent, sample data. — Recreated from the live system, client details removed.

AI runs the repetitive backend. Humans keep the connection. That is the whole idea.

Johanssen Apit

Own build, 2025

One clip in, a finished video out

nodes, one workflow

A talking head clip goes in and a finished short form video comes out, with the cuts, B roll and graphics chosen by the system, and six services chained into one pass.

A video processing pipeline with eight stages, a priority tier panel and a preview timeline, sample data. — Recreated from our own live system.

Own build, 2025

Cold email a non technical operator can run

one click rewrite angles, plus a free text instruction

Lead in, AI written email, a human reads it, one click to rewrite on a chosen angle, send, and the opens and replies come back to the same screen. Twelve leads through the whole loop in one real batch.

An outbound email workspace with a lead table, status badges and a rewrite dialog, sample data. — Recreated from our own live system.

We stay after go live, and we say what broke. Four named incidents in the first month, each with the fix and the turnaround.

How it goes

Map.
We pick the one process that costs you the most hours and write the spec you sign off on.
Build.
We build it inside your stack, on staging first, with a checker that fails the build if anything is wrong.
Prove.
It runs on real work. You get the logs, the numbers and the handover. The rest is paid on evidence, not on a promise.

Two people, one kitchen table, a lot of string lights.

Flowify is Johanssen and Hani. We work from [[TEXT: city or province, if Splinter wants it shown]], Philippines, mostly after the sun goes down for our clients on the other side of the world. Before this there was the restaurant and the telecom store, which taught us what the work feels like from the inside. We are building this for our family, which is why we do not ship things we cannot stand behind.

Numbers we can stand behind.

112workflows in productionJune 2026
27 daysfrom build start to go liveDecember 2025
1,857records migrated, zero lossJune 2026

Flagship: A regulated psychology practice in Canada.

The situation:: An owner operator running two business lines, one of them handling health data, across more than twenty services.
What was built:: An intake and operations system hosted in Canada so records stay in country under a provincial health privacy law. Four live surfaces in daily use. Twenty seven permissioned actions, each with an audit row and a kill switch beside them. Warm transfer through reception. Health related fields masked in view.
What changed:: 1,857 records migrated with zero loss and three documented incidents. 112 workflows in production as of June 2026. A dashboard the intake desk opens every working day.

Second story: A farm lot developer in the Philippines.

The situation:: Comments and messages on a Facebook page, answered by hand, in two languages, at all hours.
What was built:: A chat to lead system that answers in seconds in the customer's own mix of languages, scores the lead, hands to a human agent when payment comes up, and follows up on day 1, day 3 and day 7. Ten workflows handed over with a completion report and a technical guide, exportable, so the client can run it without us.
What changed:: Proposal to go live in 4.5 weeks. 106 leads in the first three days, 772 in the CRM by week 3.5, roughly 1,900 workflow runs by week 6. Four named incidents in the first month, each with the fix and the turnaround.

A lead here means a captured conversation, not a qualified or booked one.

Have one process that should not need a human?

Tell us what it is. If it fits what we build, we will say so. If it does not, we will say that too.

Talk to us contact@flowifyautomations.com

You grow. We flow.

The work you still do by hand? Let's make it run on its own.

We know what a missed call costs.

How we work with AI, and what it is never allowed to do.

Leonardo.

Donatello.

Raphael.

Michelangelo.

Johanssen Apit, Founder.

Hani Apit, Marketing.