Much of a team’s week goes on work nobody sees: reading documents, retyping details, sorting emails and pulling numbers together. We connect AI to the systems you already run so that work happens on its own, and your people check results instead of producing them.
Applications, contracts, claims, forms and scans read, checked against your records and entered into your systems.
Messages sorted by type and urgency, sent to the right team, with a draft reply ready.
Details from web forms, emails and spreadsheets entered into your CRM or ERP without copy and paste.
Weekly briefings built from your systems, with every figure traceable to its source.
Staff find answers across shared drives and old projects without asking the same colleague every time.
Upload-and-auto-fill, smart search or summaries added to the software you sell.
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 study →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 →Connecting AI models to the software a business already uses, so AI can read and act on that business’s own data: emails, documents, records and requests. It’s usually more useful than a stand-alone AI tool because the results land where your team already works.
Ones that are frequent, repetitive and follow a pattern, such as reading the same kind of document or sorting the same kinds of email. The free assessment helps you pick the one with the clearest payback.
Not usually. We work with documents and emails as they are today. Part of the prototype is finding out where messy data causes problems and handling them.
A prototype on your own data takes 2 weeks. Connecting it to your systems and rolling it out usually takes a few more weeks.
Tell us what you have in mind. The first conversation and the assessment are free.
