We do not sell models. We deploy agents with a narrow scope and a measurable goal — where the process is repetitive and costly.
Requests for quotation, invoices, documents, repetitive correspondence — in a company of 10–250 people, these processes consume hours of work from people who have more important tasks.
Hiring another person does not solve the problem: the process remains manual and the cost grows linearly. Automation makes sense where the rules are clear and the cases repeat.
Every agent is built after an audit. It receives a narrow, well-defined scope of work and a measurable goal.
Prepares quotes based on order history and the price list.
Reads invoices and contracts and enters data into company systems.
Answers customer questions based on company knowledge.
We map processes and data. We indicate what to automate first.
Solution architecture, scope, schedule and cost — in writing.
Build, tests on real data, security hardening.
Documentation and team training. No dependence on the vendor.
We do not promise 100% automation. A well-designed process divides the work between the agent and the team — deliberately.
The agent handles typical, repetitive cases on its own — according to rules established in the audit.
The agent organises atypical cases and passes them on with a recommendation for a decision.
Exceptional and relationship-based matters remain fully on the human side.
The split is a design assumption, not a promise — the actual proportions follow from the audit of a specific process.
We come with questions about your processes, not a presentation. No obligations.