A quote from the client's e-mail
Agent. Reads the client's e-mail, picks out the route, weight, dimensions and temperature range, and prices it against the current tariffs.
Person. A manager checks the price and sends the quote.
AI in logistics is not a robot replacing the dispatcher. It is agents that take the routine — reading, pricing, reconciling and reminding — while a person makes the decisions. Below are eight tasks agents already do at BIOCARD, and the rules we follow when we introduce them.
· BIOCARD Tech
Every task works the same way: the agent prepares the result, a person confirms it. AI speeds up the work but does not make decisions on the company's behalf.
Agent. Reads the client's e-mail, picks out the route, weight, dimensions and temperature range, and prices it against the current tariffs.
Person. A manager checks the price and sends the quote.
Agent. Identifies the topic and urgency of a request, finds the order and drafts a reply.
Person. An employee edits the draft and replies to the client.
Agent. A few minutes after a missed call it gives the owner a “Call back” task. If nobody calls back, it tells the manager.
Person. An employee calls the client back.
Agent. Makes sure a client in chat is not left without an answer: if the reply is late, it reminds the employee, then the manager.
Person. An employee answers the client.
Agent. Takes a carrier's application from the website, checks the company by its tax number in public registers, creates a record and assigns a task to the buyer.
Person. The buyer decides whether to work with the carrier.
Agent. Checks carriers' registers and documents against order data and lists the discrepancies.
Person. An employee resolves the discrepancies and approves payment.
Agent. Each morning it collects the day's meetings and the requests waiting for the manager's answer; once a week, planned-versus-actual delivery figures with the trend.
Person. The manager decides what to look at first.
Agent. Answers questions about 1C data in plain language through the MCP protocol and a set of permitted operations — with no direct database access.
Person. An employee uses the answer and makes any changes in 1C personally.
We do not give agents irreversible actions. Anything that changes the company's obligations is done by an employee:
Every agent action is logged: what it saw, what it proposed and who confirmed it. If the agent gets something wrong, it is visible and can be traced.

Pick a process with a lot of manual routine and a clear way to measure the result: response time, error count, share of lost requests.
The agent works through e-mail, 1C and CRM using a set of permitted operations. Models can run on your own servers.
For the first weeks the agent only prepares drafts and lists. An employee confirms, and every action is logged.
After a month we compare the metric with the baseline and decide: expand, refine or stop.
A big “AI platform” without a specific task spends months looking for a use. One process delivers a result sooner.
If you do not record the starting point, there is nothing to compare a month later, and the debate runs on impressions.
An agent that sends, posts and pays on its own will sooner or later make a mistake where a mistake costs money.
Without a record of what the agent did, a mistake cannot be found, and trust in the system drops after the first failure.
The agent goes wrong where the data goes wrong: reference books, addresses, weights and dimensions. Cleaning the data is part of the implementation.
No. The agent takes over sorting, reconciliation and reminders, while decisions and conversations with clients stay with people. Employees get less routine and more time for clients.
Yes: language models can run on your own servers. That is also how our own AI platform works.
No. Agents work next to your systems — through e-mail, 1C, CRM and exports.
We give a figure after a demo and a short review of your case. The quote is fixed — not time-and-materials.
AI takes over the routine of logistics and warehouse teams — decisions stay with people
More about this solution →Deviations, procedures and documents: AI proposes, the quality specialist decides
More about this solution →The assistant works in 1C through permitted operations — every action is named and logged
More about this solution →Forty minutes, a working product, no slides. Then a pilot in your environment.