What we do
Mikimo does three things: process documentation, process automation, and AI integration where a specific step needs it. The goal is employee efficiency: the repetitive steps run themselves, and your people spend their hours on work that needs their judgment, with a person approving wherever you want human oversight.
Automating a messy process gives you a faster messy process. So we start by mapping how the work actually flows: who touches it, what systems it passes through, where it stalls, and what a mistake costs. Then we write it down. The documentation alone usually pays for itself, because it exposes duplicated steps, unclear ownership, and the knowledge that lives in one person's head.
Only then do we automate. The software follows the documented process, so your team can read exactly what the system does and why. Efficiency comes from the process being right, and the automation makes the right process fast.
We interview the people who do the work and write down how it actually flows: every step, every handoff, every exception. You get documentation your team owns: what happens, in what order, who approves what, and what to do when something unusual shows up. Useful on its own, and the foundation for everything we automate.
Purchase orders, packing slips, order confirmations, RFQs: the paper and PDFs that flow into your office every day get read, extracted, and staged in your ERP as drafts. Your team reviews, corrects the occasional error, and posts. The retyping goes away and the control stays with your people.
When an RFQ lands, the system finds what you have made that is similar: the drawings, the routings, what it cost, what you charged. It drafts a quote from that history. Your estimator sees the past jobs side by side and makes the final call. Faster quotes, grounded in what your shop has actually done.
We pull labor hours, material usage, and machine time from your ERP and MES into per-job costs that reconcile. You see which jobs, customers, and part families make money, so the next quote is priced on evidence, not memory.
Open orders, late jobs, WIP, margin by customer: the reports your team rebuilds in Excel every week, generated straight from your production data instead. Same numbers every time. No copy-paste, no version confusion.
The SOPs and process documentation we produce can feed an AI assistant that runs on your hardware. An employee asks how to do something in plain language, such as how to enter a credit memo in the ERP, and gets an answer drawn from your own SOPs. New hires get up to speed faster, and your experienced people stop fielding the same questions.
We connect to the systems you already run, however old or heavily customized, so the automation works inside your real workflow instead of beside it in another tab. Your ERP stays the system of record. Results land where your team already works.
Not every process needs AI, and we say so when it does not. When a step genuinely benefits from a model, we set it up on site: a single server-class box in your building that we spec, help you buy, and configure. Your data stays behind your firewall, and you hold the source code, the documentation, and a system your own people (or any developer you hire) can maintain.
A popular way to build with AI right now is to hand a model a goal and let it decide each next step on its own. We do not build that way, for a practical reason: an AI choosing its own path can take a different path every run. Results vary, errors are hard to trace, and when something goes wrong, nobody can point to the step that failed.
A documented process gives you the opposite. The same input produces the same result. Every step can be tested, audited, and explained. When something breaks, you fix that step. When a rule changes, you update the document and the automation together. And a new hire can learn the job by reading the process instead of shadowing someone for six months.
AI still earns its place, inside specific steps where it beats conventional code: reading a messy PDF, matching a part description, drafting a reply. The process decides what happens next. The AI never does.
We do not build systems that quote your customers or post to your ledger on their own. Every automated result lands as a draft that a person on your team approves. The system does the reading, typing, and math. Your people keep the judgment. One bad quote costs more than a hundred fast ones save.
Manufacturing is where we have the most experience. We integrate directly with your ERP, your MES, and your production data, however old or heavily customized. We understand job travelers, routings, and shop-floor reality, and we build around the systems you already run. Replacing them was never on the table.
Every engagement is scoped around one painful process, not a broad transformation. We would rather automate your PO entry completely than automate your whole office halfway. If one of these sounds familiar, write to us: [email protected], or join the waitlist.
