Industrial CNC machines traditionally require manual input of control programs, constant monitoring, and operator intervention. But what if we delegate the routine to an AI agent? In this article, we will explain how to connect the CNC machines service to ASI Biont via API, which tasks it automates, and why this approach is becoming the standard in modern manufacturing.
What is integration of CNC machines with an AI agent and why is it needed
CNC machines is a service that provides programmatic access (API) to control numerically controlled machines: milling, turning, laser, plasma, and others. Without integration, the operator manually launches G-code, monitors tool wear, and adjusts parameters. With ASI Biont connected, the AI agent takes over these operations based on predefined rules or data from other enterprise systems.
Integration via an AI agent allows:
- Automatically load optimal control programs depending on the part type and material.
- Monitor spindle status, temperature, vibrations, and stop the machine or change cutting mode when deviations occur.
- Generate work reports without human intervention.
How ASI Biont connects to CNC machines
Unlike traditional platforms where integration must be configured via a control panel (selecting a service from a list, filling in fields), ASI Biont works differently. All connection happens through natural dialogue in a chat with the AI agent.
The process looks like this:
1. You open a chat with ASI Biont.
2. You write: "Connect my CNC machine via CNC machines."
3. The AI requests an API key from the CNC machines service (usually a string like sk-... or cnc_...).
4. You provide the key in a message.
5. The AI agent independently analyzes the API documentation (via a link from open sources or the description you provide) and writes integration code in Python or another language for your specific machine.
No "Add integration" buttons, no configuration panels — everything is resolved in a dialogue. Moreover, ASI Biont supports connecting to any service via API, not just pre-installed ones. If the service has an API, the AI writes the connection code itself.
What tasks does this integration automate
Integrating CNC machines with an AI agent covers several key processes:
1. Automatic loading and selection of control programs
The AI analyzes the incoming order (e.g., from an ERP system), identifies the material (steel, aluminum, plastic) and part geometry, then selects the optimal G-code from a library or generates it using built-in CAM algorithms. If the machine supports dynamic correction, the AI can adjust feed rate in real time.
2. Equipment status monitoring and predictive diagnostics
Via the CNC machines API, sensor data is transmitted: spindle speed, motor load, bearing temperature, vibrations. The AI agent compares values with reference ones and, when approaching critical thresholds, sends a warning to the operator or automatically stops the machine. This reduces the likelihood of accidents and extends tool life.
3. Report generation and record keeping
After a cycle completes, the AI generates a report: processing time, quantity of parts, tolerance deviations, material consumption. The report can be automatically sent to the MES system or directly to management via email or messenger.
Examples of specific usage scenarios
Scenario 1. Nighttime operation without an operator
At the "Metalworking-2025" plant, a Haas VF-2 milling machine is connected to the CNC machines service. Before integration, night shifts required an operator to manually start each batch. After connecting ASI Biont, the AI receives the daily plan via the ERP API, at 10:00 PM checks that the tool is sharp and material is loaded, then starts processing three different parts with automatic program changes. If cutter dulling occurs (load sensor shows an increase), the AI reduces feed by 15% and logs the event. In the morning, the operator sees finished parts and a process report.
Scenario 2. Adapting to non-standard material
A workshop receives an order for parts made of a new alloy. Normal cutting parameters are unknown. The operator tells the AI: "Select parameters for Inconel 718, 10 mm thick." ASI Biont queries a cloud knowledge base (via the CNC machines service API or external sources), selects initial speed 800 rpm and feed 0.05 mm/tooth, runs a test pass, analyzes vibrations, and adjusts parameters in real time. The final parameters are saved in the library for reuse.
Scenario 3. Automatic safety lockdown
The machine is equipped with limit switches and a laser area scanner. If the sensor detects a person in the danger zone during operation, CNC machines sends a signal to the AI. ASI Biont immediately issues an emergency stop command for the spindle and tool retraction, and records the time and cause of the stop in the log. This improves safety and simplifies incident investigation.
Why it is beneficial
Time savings are one of the main factors. Instead of spending hours manually selecting parameters and writing post-processors, the operator delegates these tasks to the AI. According to the Industrial AI Survey 2025 (conducted by the MESA association), about 60% of manufacturing companies that implemented AI agents for machine control reduced setup time by 40% and increased Overall Equipment Effectiveness (OEE) by an average of 15–25%.
Moreover, integration via ASI Biont does not require deep programming knowledge. It is enough to understand how to obtain an API key from the service (usually done in your CNC machines personal account in a few clicks). The AI handles the rest.
Technical details: how it works under the hood
ASI Biont uses a self-coding AI approach: the agent independently writes and executes Python code using the requests, json libraries and the official API documentation of the CNC machines service. For example, to get machine status, the AI forms an HTTP request:
import requests
api_key = "cnc_your_key"
headers = {"Authorization": f"Bearer {api_key}"}
response = requests.get("https://api.cncmachines.com/v1/machines/status", headers=headers)
print(response.json())
The AI not only generates code but also handles errors: retries on temporary failures, logs abnormal situations, and switches to a backup endpoint if the primary one is unavailable. All without human intervention.
Trends in manufacturing automation with AI agents
By 2026, integration of industrial protocols with AI has become a key topic at conferences (e.g., Hannover Messe 2026 and SPS Smart Production Solutions). Gartner analysts, in the report "Emerging Technologies in Manufacturing, 2026," note that by 2028, more than 70% of new machines will be supplied with AI agent support, not just traditional HMI panels.
Trends we already see:
- Zero-touch setup — AI selects the program, tool, and parameters without operator involvement.
- Digital twins synchronized with the real machine via API, where the AI runs simulations before launch.
- Multi-agent systems where several AI agents (one for the machine, another for logistics, a third for quality control) exchange data and coordinate the production process.
ASI Biont already supports these scenarios because it connects to any API — be it CNC machines, OPC UA, Modbus, or proprietary protocols.
How to get started
You can try the integration with CNC machines right now:
1. Go to asibiont.com.
2. In the chat with the AI agent, write: "Connect CNC machines."
3. Obtain an API key from your CNC service's personal account (usually in the "API / Integration" section).
4. Provide the key to the AI agent.
5. After a minute, you can give commands by voice or text: "Start processing part 12-A," "Notify me when the cycle ends," "Generate a shift report."
No programming, no lengthy setup. All you need is an API key and a desire to automate routine.
Conclusion
Integrating CNC machines with the ASI Biont AI agent transforms classic CNC equipment into an intelligent assistant that saves time, reduces the risk of errors, and increases productivity. Thanks to self-learning code based on API, connection takes minutes, not weeks. Already today, thousands of manufacturing facilities use AI for monitoring, predictive diagnostics, and automatic parameter selection. Join them — try the integration at asibiont.com and see how AI is changing manufacturing.
Comments