We study how your team works with reports, Excel, documents, email, internal systems and knowledge bases. We pinpoint the repetitive tasks and roll out AI tools that cut the time spent on routine work.
We remove repetitive actions and show the impact in hours and money.
On paper, work goes on all day. But a large share of the time goes not toward results, but toward hunting for the right file, retyping data, checking with colleagues and repeating the same operations.
The policies, instructions, documents and data are all there — but employees struggle to find the right answer quickly.
Data is gathered by hand, copied between files, double-checked and consolidated into spreadsheets.
Emails, contracts, memos, reports and meeting notes are produced from the same templates over and over.
Processes stall waiting on responses, statuses, clarifications and manual reminders.
First we look at how employees actually work and where time is lost. Then we collect the team's ideas, select the right tools and deploy them where the impact will be clear and measurable.
We look at the tasks, reports, spreadsheets, documents, systems and approvals employees deal with every day.
We pinpoint where employees spend time searching, retyping data, preparing reports and waiting for answers.
We find out what employees themselves would like to automate: which tasks frustrate them, where they lack a knowledge base, templates or an assistant.
GigaChat, YandexGPT, enterprise AI assistants, knowledge base, report automation, Excel, document generation, integrations with 1C / ERP / CRM / BI.
We measure how long the process took before rollout, what changed afterward and the impact the team gained.
The impact comes not from a "big transformation," but from specific everyday tasks — exactly where employees keep losing time on the same things.
Excel, reports, summaries, data validation, analytics preparation.
Text generation, templates, contracts, memos, meeting notes.
Policies, instructions, knowledge base, answer search, onboarding.
Repetitive tasks, retyping data, drafting emails, processing requests.
Approvals, statuses, reminders, SLA tracking, workflow automation.
After rollout, the company gets not an abstract AI tool, but a set of concrete improvements: which tasks were sped up, how many manual actions were removed, where fast search appeared, and which reports or documents now get prepared faster.
How many hours per month the team gets back from the routine work that was removed.
Specific tasks with "before and after" numbers: for example, a report that took 3 hours now takes 30 minutes.
What stays working in the team after rollout: agents, knowledge bases, templates.
The next scenarios and teams where it makes sense to extend the automation.
Pick one team and 2–3 scenarios: a report, an approval process, a knowledge base search or a repetitive task. We'll break down how it works today, show where time is lost, and build an automation plan.