For Companies
Reliable automation. Not another AI initiative that stalls.
For decision-makers who feel overwhelmed by AI and want fewer repetitive tasks handled quietly — without the hype, and without a system nobody ends up using.
Book a discovery callWhat's included
Four deliverables. One outcome: adoption.
Process audit
A clear-eyed look at where time and attention actually go, 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.
Discover
A short discovery call to understand the bottleneck and whether we're a fit.
Design
We map the automation to your existing workflow and get your sign-off before building.
Build
We build and integrate against your real systems, with regular check-ins.
Adopt
We train your team and stay through the first weeks of real use.
Proof
Results from companies like yours.
“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.