With LangGraph, Cube builds AI agents that follow your process step by step.
What is LangGraph?
LangGraph is an open-source framework that allows you to build AI agents and AI workflows step by step. You define which steps the AI goes through, in what order, and when oversight is needed. You can think of it as a script for AI. The agent is given the freedom to process information and make decisions, but does so within clear boundaries. This makes it easier to track what’s happening, even when a task consists of multiple steps. LangGraph was developed by the team behind LangChain. While LangChain connects AI to data, applications, and tools, LangGraph brings structure to how AI agents operate step by step. For custom software, this is particularly valuable when AI isn’t meant to operate separately from a process but rather becomes an integral part of how people already work.
The Value of LangGraph.
Control at Every Step
With LangGraph, you can define the steps an AI agent goes through and the order in which they occur. This makes it clear what’s happening and allows you to monitor, test, and adjust the process as needed.
Human oversight
There are some actions you don’t want to leave entirely up to AI. LangGraph makes it possible for an employee to review or approve a document, quote, or request at the right moment.
Reliable in use
Because the procedure is standardized, an AI agent does not respond differently each time. This makes it easier to integrate AI into a process that needs to function reliably in day-to-day practice.
Context is preserved
LangGraph helps an AI agent carry over information from previous steps. This ensures that the process continues to flow logically and that the agent doesn't have to start over from scratch with every new step.
Examples of applications within organizations.
LangGraph is most effective for tasks that consist of multiple steps and where reliability is key. Here are a few real-world examples:
Processing documents with a review step: An agent reads an incoming document, extracts the relevant information, and enters it into your system. In case of doubt or when amounts exceed a certain threshold, the agent first requests approval from a staff member.
Handling customer inquiries in a portal: An agent answers questions in a customer portal, looks up the correct answer in your knowledge base, and automatically transfers the inquiry to a staff member as soon as a question becomes too complex or too sensitive.
Preparing quotes and requests: An agent gathers the necessary information, drafts a proposal, and reviews it with a colleague before anything is sent out. People make the decisions; AI does the legwork.
Automating processes across multiple systems: An agent performs a series of actions in different systems, checks periodically to ensure everything is correct, and stops the process if something goes wrong. This is how AI workflow automation works without you losing control.
The same principle applies in all these cases. The AI takes the work off your hands, and you keep track of the results.
How Cube uses LangGraph in custom software.
At Cube, we don’t approach AI as a standalone experiment, but as part of the software people use every day. LangGraph helps integrate AI agents into that environment in a controlled way: step by step, with clear safeguards and human approval where necessary. We start with the process: which task do you want to support or automate? Where is the benefit? And where does an employee need to remain involved? Then we configure the AI agent to integrate seamlessly with your existing software, data sources, and workflows.
Curious about what AI can do for you?
No detailed plan is needed. A process, a problem, or an initial idea is enough to get started.