Document workflows
Collecting data, drafting emails and proposals, turning spreadsheets into presentations, and finding relevant passages in documents.
AI AUTOMATION FOR BUSINESS
AI Business Process Automation
Re:Brain() helps companies automate repetitive business processes with AI: document workflows, reporting, knowledge search, communications, customer support, and other recurring workflows.
We start with the business process, not with choosing a tool.
AI AUTOMATION FOR BUSINESS
What business processes can be automated with AI
AI automation is a strong fit where a team works with information regularly, follows understandable rules, and can check the output.
Reporting and analytics
Combining data from files, preparing recurring reports, explaining changes, and producing conclusions for leadership.
Internal search and knowledge bases
An AI assistant that answers team questions using internal documents, rules, and work examples.
Communications
Draft replies, route requests, prepare briefs, commercial proposals, and other recurring messages.
Customer support and incoming requests
Classify requests, answer common questions, collect needed information, and pass complex cases to a manager.
View cases
Real AI automation implementation examples
These examples come from Re:Brain() public case data. Results are stated only as documented in those cases.
Vidzone AI assistant
Problem: customers needed fast answers about products, campaigns, and ad formats. Solution: a Telegram bot with knowledge, query routing, and manager hand-off. Result: 100+ bot queries during the conference.
View cases →Client reporting automation
Problem: an Excel report had to be manually turned into a client presentation. Solution: a tool creates the presentation with charts, branding, headings, and AI conclusions. Result: 20 minutes instead of 2 hours to prepare the report.
View cases →Consolidated CEO reporting
Problem: the executive needed a full picture without manually collecting managers’ files. Solution: a shared file format, aggregation, and an AI summary delivered in Telegram. Result: the case records 2 hours saved per week for each manager.
View cases →How to identify a process worth automating
A strong automation candidate usually:
- repeats regularly
- includes repetitive manual steps
- uses documents, tables, or email
- has understandable rules
- consumes meaningful team time
- produces an output that can be checked
Ready-made AI tool, Re:Brain() module, or custom AI solution?
Ready-made tools
ChatGPT, Claude, Microsoft Copilot, Gemini, and similar tools — when a standard product already covers the task well.
Best when the process has a clear format and checkable output.Configured workflow or module
When the process repeats but needs rules, templates, a knowledge base, or a team-friendly workflow.
Best when the process has a clear format and checkable output.Custom AI solution
When the process needs specific logic, internal documents, CRM, databases, or several system integrations.
Best when the process has a clear format and checkable output.How Re:Brain() implements AI automation
01
Understand the process
Clarify participants, inputs, rules, constraints, and the desired output.
02
Identify automation points
Separate repetitive work from decisions that should remain with people.
03
Choose the solution format
Decide whether a ready tool, module, prototype, or custom solution is appropriate.
04
Prototype and integrate
Test the solution on a real scenario and fit it into the team’s workflow.
Integrations and working environment
The integration format depends on the process and each system’s technical capabilities. Relevant projects may use Microsoft 365, Google Workspace, CRM, email, Telegram, Google Sheets or Excel, databases, internal knowledge bases, and APIs. The realistic list is confirmed during diagnostics.
Who provides AI automation services
Re:Brain() is a boutique AI consulting and implementation practice founded by Olena Shramko / Олена Шрамко. The practice works with businesses from process analysis and AI solution design through prototyping, implementation, and team adoption. Depending on the project, technical specialists or contractors may support delivery; Olena Shramko is not presented as the person personally coding every solution.
Related
AI business automation FAQ
It is the use of AI and automated workflows to reduce manual work in a repeatable process, from documents and reporting to knowledge search and support.
Regular automation follows fixed rules well. AI helps work with text, documents, requests, and other less structured data, while outputs still need sensible checks.
Not necessarily. Re:Brain() can start with process analysis, a prototype, and an implementation plan. If technical delivery is needed, the project team is shaped around the requirements.
Start with one recurring process that has many manual steps, clear inputs, and an output that can be checked.
Cost depends on the process, data, integrations, security requirements, and solution format. Re:Brain() scopes the work after understanding the task rather than quoting a universal price.
Is one process taking too much manual time?
Describe one process and we will help assess whether AI automation makes sense and what to do first.
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