Step-by-step guides, technology comparisons, and ways to measure efficiency. No extra hype or fluffy theory.
Chatbots, smart search, automatic CRM submissions — it's easier to implement these from the start than to add them later. Let's explore what to pay attention to when ordering a new website.
The most common question from managers: where will our data go? We analyze the options for data placement, what can be shared with external models, and how to prevent leaks.
Managers spend hours entering contacts while leads go cold. Let's explore how AI can take over the initial processing of requests and where the line is drawn for human involvement.
How to test corporate AI systems: a control question set, relevance metrics, combating hallucinations, and the role of humans.
How modern document recognition differs from old template-based OCR, how the system checks amounts and company ID, and why a human in the loop is still necessary.
What requirements do language models impose on product characteristics and stock levels? So that the AI consultant doesn't get confused and recommends exactly what customers need.
We compare three popular automation platforms without marketing: where each is convenient, where it starts to cost too much, and why we often choose n8n for working with sensitive data.
We break down the costs of implementing AI: development, integrations, API models, hosting. And how to calculate when it will all pay off.
Why button-based bots annoy customers, what an AI store consultant should really be able to do, and the five mistakes that often turn a chatbot into money down the drain.
We compare the capabilities, architecture, and limitations of conversational chatbots and autonomous AI agents that can perform operations within company systems.
In simple terms, Retrieval-Augmented Generation: how to make AI respond based on your documents — without data leaks and hallucinations.
A step-by-step guide for owners and operations managers: how to choose the first process, assess data readiness, and avoid common pitfalls at the start.