What is happening with artificial intelligence and how it is used in sales, CRM and documents. Short, to the point, no fluff
Not an editorial team, but the same system we implement for clients
A chat answers a question and forgets. An agent has a role, memory, and access to systems: it launches the process itself, drives it through to a result, and reports back. We will illustrate this using the example of a sales department, where eight roles hand off work along a chain
A regular assistant remembers only the conversation window. If you move memory into a database and return facts to the context, an agreement from a month ago stays with the agent
The problem is not the number of calls, but that the business does not hear at which stage the conversation breaks down. What analyzing all calls by script stage gives you
Transcription of an hour-long meeting, analysis, conclusions and tasks. How to make sure agreements land in the system automatically, rather than in the memory of one person
Hallucinations, the main risk of AI in sales and documents. We break down our approach: facts come only from a verified database, documents are assembled by a generator, not the model
Quotes arrive as PDFs, scans, and emails, while you have to compare them in Excel. What extracting price, lead time, and availability from any document delivers
A classic problem: everyone writes in their own way. The solution is simple but not obvious - a single point of record through which all changes flow
The watchdog checks services every couple of minutes, restarts anything that has gone down, and messages the owner if something did not come back up. Plus rollback to any point
The main business question before implementation. We break down what self-hosted means and why it changes the conversation about security
A person writes as usual, and inside the Conductor understands the request and brings up the right roles. Why this is more convenient than ten different bots
Not just install AI, but analyze the process and match roles to a specific pain point. Why diagnostics matter more than technology
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