AI automation
The manual work you should no longer do by hand — starting with an audit, not a tool.
AI process automation is handing a specific repeating job to a system: extracting data from invoices and documents, sorting and answering incoming enquiries, moving data between CRM and ERP, preparing reports. We start with an audit that measures how many hours a month the process actually takes — and only then do we build.
Teams where people retype data from one system into another.
Companies with invoices, delivery notes or applications every day.
Managers who want numbers, not an AI strategy presentation.
Typical scenarios: extracting data from invoices and delivery notes, sorting and routing incoming enquiries, preparing proposals from templates, filling CRM records, preparing product descriptions and translations for the store, generating reports and transcribing meetings.
No. We use a business-grade approach with no training on your data, and for sensitive processes we can run a model in your environment.
In practice it replaces tasks, not people. We measure the hours recovered and where they are redirected.
In the audit we calculate hours before and after. If it does not add up, we recommend not doing it — that is the shortest path to being trusted next time.
Related services
One team, so the next step does not start from zero.
How a project starts
No long intro. Usually one conversation is enough to understand scope and timing.
Enquiries, sales, speed or automation. A short note is enough.
Goal, audience and what you already have. Usually one conversation.
Scope, timing and the next step — before we write code.
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Closes in 15 s
Ja jums ir mājaslapa, lai saprastu, kas strādā un kas nestrādā, labākais pirmais solis ir CRO audits. Bez prezentācijas — tikai konkrēti secinājumi.
Saņemt bezmaksas audituBez surogātpasta. Bez aģentūras prezentācijas. Secinājumi 2 darba dienu laikā.
