One delivered case study, and three example projects that show how we’d handle the requests we hear most.
Users describe a job in plain words or drop in contracts, invoices and scans. The assistant reads them, asks for what’s missing and builds a draft case against a checklist. Rules do most of the reading, an LLM fills only what they can’t, and nothing is saved until a person confirms it.
Read the case studyExample projects show how we would approach common requests. The companies, screens and data are samples designed by our team, not client work. For delivered work, see our case study.
A chatbot on the company website answers questions from the company’s own pages, checks the service area and books appointments, with a person on call for anything else.
See how it works →An AI agent checks orders, shares tracking and opens tickets in the help desk. Refunds and exceptions go to a person with the case already prepared.
See how it works →Requests from email and web forms are sorted by type and urgency, routed to the right team with a draft reply, and summed up for managers each week.
See how it works →Staff ask questions in plain words and get answers that cite your procedures. Customers fill in warranty claims by uploading a nameplate photo.
See how it works →Invoices from a shared inbox are read, matched to purchase orders and drafted as bills. Only exceptions reach a person.
See how it works →Tell us about the process. The assessment is free.
