Requests and inbox
Incoming emails, chat messages and form requests are sorted, get a draft reply and reach the right person.
Service · AI automation
We find where your team loses hours to routine and hand those steps to AI and integrations, from the first audit to a working launch.
Typical tasks we start with. The audit shows which of them pay off in your company.
Incoming emails, chat messages and form requests are sorted, get a draft reply and reach the right person.
Data from invoices, contracts and spreadsheets lands in your CRM or accounting system without retyping.
Leads are enriched and assigned, deal statuses updated, reminders and follow-ups sent on time.
Numbers from several systems are gathered into one report on a schedule instead of a manual export every week.
An AI assistant answers typical questions from your knowledge base and hands complex cases to people.
An assistant over your documents and instructions: answers in seconds instead of a search through chats.
We map how work really moves through your team: who does what, in which tools and how long it takes.
We pick the steps where AI and integrations save the most hours and agree on scope, timeline and expected effect.
We build the automation, connect it to your tools, test it on real data, show the team how to use it and tune it after launch.
We start from where time is lost, not from a fashionable tool, and automate only what gives a visible effect.
We automate routine in our own product too: GoodsCRM takes the shipping routine off online stores.
The same people analyse your processes, build the solution and support it after launch.
Repetitive steps that follow rules or patterns: handling requests and documents, moving data between systems, reports, typical customer questions. The audit shows which of them are worth automating in your case.
It depends on the process and the number of systems involved. After the audit you get a plan with scope and timeline before any development starts.
Usually not. We connect to the CRM, spreadsheets, messengers and services you already use through their APIs and integrations.
We agree in advance which data an automation may use, give it access only to that data and document where the data goes.
The price depends on the scope. We name it in the plan after the audit, so you know the cost before anything is built.
Tell us how your team works, and we’ll suggest where to start.