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For Companies

Revenue from your existing workflow. Not another AI initiative that stalls.

For decision-makers who want their existing processes to generate more revenue — without the hype, and without a system nobody ends up using.

Book a discovery call

What's included

Four deliverables. One outcome: revenue that sticks.

Process audit

A clear-eyed look at where time, attention, and revenue are actually going, before anything is built.

Automation design

A design built around your real workflow and existing tools, not a generic template.

Build & integration

Built and connected to the systems your team already uses day to day.

Team adoption & handoff

Training and documentation so your team can run it without us in the room.

Process

How an engagement actually runs.

01

Discover

A short discovery call to understand the bottleneck and whether we're a fit.

02

Design

We map the automation to your existing workflow and get your sign-off before building.

03

Build

We build and integrate against your real systems, with regular check-ins.

04

Adopt

We train your team and stay through the first weeks of real use.

Proof

Results from companies like yours.

An operations worker doing hands-on inventory work in a warehouse

“We reclaimed roughly 8–10 hours a week, and the workflow kept running reliably after handoff — we didn't need Ortomize sitting beside us to keep it working.”

Alphonsus Lami — Client, Automation & Training

“A process that used to take most of a working day now happens in minutes — and it kept performing exactly as intended after handoff, without Ortomize monitoring or fixing things for us.”

Adetokumbo Okeniyi — Client, Automation & Training

“The team got back around 6 hours a week, and the automation kept running consistently after handoff — we weren't dependent on Ortomize for day-to-day operation.”

Ihiama Ikizama — Client, Automation & Training

FAQ

Questions companies usually ask.

Most projects move from discovery to implementation within 2–6 weeks, depending on the complexity of the workflow, the number of systems involved, data quality, integrations, and the level of customization required. Smaller workflow improvements can move considerably faster; larger automation programs may need a phased rollout.

Ready to see where the revenue is actually going?