Every operation runs on invisible clerical work: numbers re-typed from one system into another, reports assembled every Friday, the same email written after every incident. Geigyr builds the automation that does this work — reliably, with records — and runs it as a managed service. Not a pile of scripts you inherit. A system someone answers for.
Event to corrective action to sign-off to filed report, with a timestamp at every step. The pattern behind our compliance monitoring, applied to whatever your operation has to prove: incidents, inspections, maintenance, training records.
The right person gets the message, with what happened, where, for how long, and what to check — instead of an inbox alarm forty people ignore. Escalation when nobody responds. Quiet when nothing is wrong.
Sensor platforms, ERP, quality systems, spreadsheets, email — connected so information entered once shows up everywhere it is needed. The re-typing stops, and so do the transcription errors.
The Friday production summary, the weekly compliance log, the monthly numbers for insurance — assembled from live data and delivered on schedule. Nobody spends Thursday night in a spreadsheet.
Where the work takes reading and judgment — drafting a deviation report from sensor data and your own SOPs, triaging inbound requests, summarizing a shift's events — an AI agent produces the draft and a person approves it. The judgment stays yours; the blank page goes away.
Getting plant-floor data into a real analytics platform — and getting answers back out: downtime patterns, quality trends, equipment behavior before it fails. For operations ready to go past dashboards, we build on enterprise data platforms we have run for years.
We sit with the people who do the work and write down what actually happens — including the workarounds, the exceptions, and the step everyone does differently. Automating a workflow nobody follows is how these projects fail.
The automation runs alongside the manual process until it has earned trust: same inputs, same outputs, verified. Then the manual step retires. Nothing is switched over on faith.
Workflows break when vendors change an API, a form gets a new field, a certificate expires. We monitor the automation itself, fix what breaks, and adjust as your operation changes. You get an outcome, not a maintenance burden.
Anything that lands in a compliance record runs on rule-based workflows: same input, same output, every time. AI drafts and summarizes; it does not write your audit trail.
Any step with real consequences — a disposition, a customer message, a filed report — waits for a named human to review and sign. The automation prepares the decision; it does not make it.
Every run is logged: what came in, what went out, who approved it, when. Six months later you can answer "why did the system do that?" with a timestamped trail, not a shrug.
We build on established workflow and data platforms — the same stack that runs our monitoring service — under your accounts, on your data. If we part ways, the automation is yours, documented.
Start there. Tell us about the report, the re-typing, or the paper form, and we'll tell you honestly whether automating it is worth the money.
Describe the busywork →