Articles: AI implementation and development for business
We explain it without ads: where to start with AI implementation, what it costs, what AI agents are, how knowledge bases and document processing work, and what to consider with personal data.
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How to implement AI in business: a step-by-step plan for executives
A step-by-step plan to implement AI in company processes: choose the first task, prepare data, run a pilot and build the solution into your working systems.
10 min read
How much AI implementation costs for a company
What makes up the cost of AI implementation: discovery, integrations, testing, support and model costs. How to lower the price of the first step.
10 min read
AI agent for business: what it is in plain English
What an AI agent is in plain English, how it differs from a chatbot and an assistant, which tasks it handles, and when a business doesn't need one.
10 min read
AI in 1C: what you can automate and how to implement it
Where AI in 1C helps accounting and document flow: source documents, reconciliations, search, CRM exchange. How to add it safely and what to prepare.
12 min read
AI document recognition in business
How AI document recognition works: which documents fit, how to check fields, send data to 1C and measure quality on your files before launch.
11 min read
Enterprise knowledge base with AI: how it works and where to start
What an AI enterprise knowledge base is, how RAG search over company documents works, how access rights are handled, and where to start implementation.
11 min read
Choosing an AI model: YandexGPT, GigaChat or foreign models
YandexGPT, GigaChat, OpenAI, Claude or Gemini: the criteria for choosing an AI model for your business, and how to test it on your own data.
10 min read
AI and personal data: what to consider under 152-FZ
How to handle personal data in AI projects under 152-FZ: what to send the model, depersonalization, where data is processed, consent, access and retention.
9 min read
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