AI for Business FAQ

AI transformation is the systematic integration of artificial intelligence into company business processes. Not just one tool, but a shift in how work is done: automating routine tasks, data-driven decision making, faster communications. Re:Brain() runs diagnostics, selects solutions, and supports the team to the first measurable result.

Start with AI process diagnostics. This is a 1–2 week engagement where we analyze your key processes, find where AI will deliver maximum impact at minimum cost, and prepare a concrete roadmap. Without diagnostics, companies often spend budget on tools that do not solve real problems.

Yes, and mid-size businesses often get the highest value from AI because they already have repeatable processes and enough budget to implement change. Re:Brain() focuses on this segment and on B2B units of larger companies.

It depends on the format, process, and integrations. Ready modules are usually faster to launch than custom solutions, while diagnostics and training are separate services with their own scope and budget. Contact us for an estimate tailored to your needs.

First results appear during implementation. The time to impact depends on the process, data quality, integrations, and the team’s readiness to change how it works. AI is a tool, not magic.

It depends on how you use it. Public ChatGPT (chat.openai.com) is not recommended for confidential data — OpenAI may use it for model training. ChatGPT Enterprise and API have a different security level, data is not used for training. For working with sensitive data, we recommend API-based solutions or local models.

ChatGPT (OpenAI) and Claude (Anthropic) are the two most popular LLMs for business. ChatGPT is stronger for coding and has more plugins and integrations. Claude works better with long documents, follows instructions more precisely, and is less prone to hallucinations. For most business tasks both work well — the choice depends on the specific use case.

RAG (Retrieval-Augmented Generation) is a technology that allows AI to answer questions based on your own documents. Instead of the model’s general knowledge — answers from your knowledge base, SOPs, contracts. This is the foundation for corporate chatbots, HR assistants, and customer support systems. Re:Brain() builds RAG solutions for mid-size businesses.

AI replaces tasks, not people. Specific repetitive actions — writing template emails, searching for information, basic analytics — AI performs faster and without errors. But strategic thinking, negotiations, relationship management, and creative decisions remain human. The real effect: the team spends less time on routine and more on work that actually matters.

LLM (Large Language Model) is the large language model technology that powers ChatGPT, Claude, Gemini, and other AI tools. They are trained on billions of texts and can generate, analyze, and transform text. For business this means: any task related to text, documents, or communication can potentially be automated.

AI diagnostics is a structured analysis of a company’s business processes to find where AI will deliver the highest impact. We study how the team works, which tasks take the most time, where errors and delays are most frequent. The output is a concrete roadmap: which processes to automate first, with which tools, and in what sequence.

Standard diagnostics takes 1–2 weeks. It includes interviews with key team members, analysis of current processes and tools, roadmap preparation and results presentation. For larger organizations with many departments the timeline may be longer.

After diagnostics you receive: a process map with automation potential assessment, prioritized list of AI solutions with expected impact, tool and approach recommendations, estimated budget and implementation timeline. This is a ready action plan that can be implemented with us or independently.

Ready modules are proven solutions for common tasks: client booking, FAQ bot, email generation, HR assistant. Custom development is for when the process is specific and a standard solution does not fit. Companies often start with a module and then scale to custom needs.

It depends on your needs. Re:Assistant() is for businesses with client bookings or requests (clinics, salons, services). Re:Support() is for companies with high volumes of repetitive customer questions. Re:Help() is for HR and internal knowledge bases. Re:Letter() is for teams with heavy email communication. Contact us — we will find the right fit for your situation.

Re:Brain() corporate AI training is practical learning on your company’s real tasks. Not theory about ChatGPT, but concrete cases: how your marketer writes content with AI, how HR reduces time on job postings, how sales prepares proposals. Formats: 4-hour workshop, 8-hour intensive, or 4-week implementation program with support.

Yes. The individual format is a series of 1:1 sessions where we work through specific tasks and tools for your role and business. Suitable for owners, managers, and specialists who want to systematically understand AI without generalities.

Four steps: 1) Diagnostics — we analyze processes and find the entry point. 2) Solution — we select a ready module or design a custom one. 3) Implementation — we build an MVP or working version for your process. 4) Training — the team starts using AI in daily work. Post-launch support and guidance included.

No. Re:Brain() handles the entire technical process from setup to launch. For ready modules no developer is needed — we configure everything ourselves and train your team to manage the solution. For custom development the technical part is also on our side.

Depends on the module. Most common integrations: Telegram, Viber, web chat, Google Calendar, Calendly, CRM systems via API, Google Sheets, Notion. For custom solutions — any system that has an API or webhooks. The full list of possible integrations is confirmed during the diagnostics stage.

We use APIs from leading providers (OpenAI, Anthropic) with enterprise agreements where data is not used for model training. Data is transmitted over encrypted channels. For projects with heightened security requirements — we consider local or private model deployment.

An AI Telegram bot is a Telegram chatbot that uses a language model instead of scripted responses. It understands arbitrary questions, responds in natural language, and can work with your knowledge base through RAG. Suitable for customer support, booking, FAQ, and internal team assistants.

Microsoft Copilot is integrated into the Microsoft 365 ecosystem — Word, Excel, Teams, Outlook. If a company already uses Microsoft — Copilot is a logical choice for automating office work. ChatGPT is more flexible through the API and suits custom solutions. Claude is stronger for document analysis and precise instruction-following.

Prompt engineering is the practice of crafting AI requests to get high-quality and predictable results. A properly structured prompt with role, context, response format, and constraints delivers significantly better results than a simple question. Re:Brain() teaches teams prompt engineering as part of corporate training.

Marketers save up to 40% of time on routine content thanks to AI. Main applications: generating content plans, writing social media and email copy, A/B testing messages, audience analysis, brief preparation. Most effective when AI handles the first draft and the marketer edits and finalizes. Ready prompts for marketers are at /korisne/marketers.

HR teams use AI for: writing job postings and descriptions, resume screening by criteria, preparing onboarding materials, answering common questions from new employees via a RAG bot, evaluating candidates by structured criteria. Re:Help() is a ready module for HR knowledge bases and onboarding. Ready HR prompts at /korisne/hr.

AI helps lawyers with: initial contract analysis and identifying risky clauses, preparing standard documents and letters, structuring legal positions, searching precedents in their own database via RAG, summarizing court decisions. Important: AI does not replace legal responsibility and the final decision is always with the lawyer. Ready prompts for lawyers at /korisne/lawyers.

Finance professionals use AI for: writing commentary on financial metrics, preparing executive report summaries, structuring analytical memos, explaining variances from plan, preparing presentations for top management. AI is especially useful for quickly translating numbers into understandable text for non-financial audiences. Ready prompts for finance at /korisne/finance.

Sales reps use AI for: personalized cold outreach emails tailored to specific clients, preparing proposals, handling objections, post-meeting follow-ups, pre-call preparation. Key impact — faster preparation time and higher personalization without extra effort. Ready prompts for sales at /korisne/sales.

Leaders use AI to structure decisions, prepare short team briefs, analyze risks, create action plans after meetings, and break large tasks into short steps. This saves leader time and improves communication quality inside the team.