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Регистрация: 10.09.2026

Evolvin

Специализация: AI Agents / AI-native Transformation / Development and Integrations
— Evolvin builds AI automation for mid-size and large companies. — We start with a measurement: we take one repetitive process, count how many people it occupies and how many hours it consumes, and show the cost in money. — Then we automate it and keep a human in control of the result. — Typical projects: automated triage of incoming requests and emails, data transfer between CRM and accounting systems, document verification workflows. — We put AI on repetitive business work: incoming request triage, data entry between systems, document and counterparty checks.
— Evolvin builds AI automation for mid-size and large companies. — We start with a measurement: we take one repetitive process, count how many people it occupies and how many hours it consumes, and show the cost in money. — Then we automate it and keep a human in control of the result. — Typical projects: automated triage of incoming requests and emails, data transfer between CRM and accounting systems, document verification workflows. — We put AI on repetitive business work: incoming request triage, data entry between systems, document and counterparty checks.

Портфолио

Evolvin Platform — One screen for the whole business

● The problem: money in one system, tasks in another, people in a third. The picture is assembled by hand and is stale by the time it is finished. ● What the agent does: money, tasks, blockers and exceptions on one screen — every number traceable down to the document and the person behind it. ● Evidence: running in Evolvin's own operation, which is where every approach is tested before it is offered to a client. ● Limits: completeness is bounded by what is connected: unintegrated systems do not appear.

Evolvin Operations — Customer conversations that stop getting lost

● The problem: requests arrive in messengers and email, land with whoever is free, and live inside that person's inbox — no owner, no deadline, no history. ● What the agent does: the agent takes the request, works it down to the actual question, answers routine cases from the company knowledge base, and hands over anything that needs a decision with consequences. ● Evidence: eight connected companies, over 8,900 messages handled through the assistant. ● Limits: answer quality depends on the knowledge base. Without one, the agent answers in generalities — and it shows.

Evolvin Finance — Reconciling payments, records and supporting documents

● The problem: a payment exists, the paperwork does not — and this surfaces at quarter close. ● What the agent does: the agent matches payments against documents, flags operations with nothing behind them and prepares the list to chase. ● Evidence: the public-data analysis engine is live: 36,387 companies processed. Regulated bookkeeping for several legal entities runs inside the estate. The end-to-end run has not been performed on our side, and client figures are not published; until then the status stays Pilot. ● Limits: requires access to the accounting system. It prepares data; the accountant decides.