AI agents and copilots: built and configured for your organization.

What is an AI agent or copilot?

A co-pilot works alongside your employee. He makes suggestions, summarizes, or looks things up, but the human remains in control and makes the decisions. An agent goes a step further and carries out a defined task independently from start to finish. The difference lies in how much you delegate.

Take an incoming request for a quote, for example. With a copilot, your employee sees the request, is presented with a draft response based on previous quotes, and can edit it before it’s sent out. With an agent, that same request is automatically checked for completeness, entered into your CRM, and forwarded to the right colleague—leaving a human to step in only where it really matters. In both cases, this isn’t a chatbot that provides isolated answers, but rather a tool that actually takes over tasks within your own systems and processes.

What a partner or co-pilot you make.

The value lies in three areas. You gain time because repetitive tasks are automated, freeing up staff for judgment-based work. You gain consistency because an agent always follows the same rules and doesn’t get tired on Friday afternoons. And you gain control, because every action is logged and you can see exactly what happened afterward. When set up properly, this means: less manual work, fewer errors, and a clearer overview rather than less.

What we build: AI in your software.

We build AI agents and copilots that run within your own software and take over or speed up your work. Not a standalone chatbot in a separate location, but functionality built right into the systems your team already uses: your portal, your CRM, your workflow.

• A copilot supports your employee while they work. It thinks along with them in the moment: pre-fills a form, summarizes a file, or answers a question based on your own documentation. The human remains in control and decides what happens next.

• An agent independently carries out a task, across multiple steps and systems. Think of an application that comes in, is checked for completeness, entered into the correct system, and forwarded to the next step—all without a human having to perform every action. This takes place within parameters that we define with you in advance: what the agent is allowed to see, what it is allowed to do, and at what point a human steps in again.

Agent or co-pilot: Which one fits your process?

A copilot is sufficient when a person is already stuck in a loop and mainly wants to work faster: help with a form, a suggestion in a portal, or an answer to a question from your own documentation. An agent pays for itself in processes that are repetitive, span multiple systems, and involve sufficient volume: request processing, checks, and data transfer between systems. The difference lies in autonomy and oversight, not in the technology. That’s why we always start with your process, not the tool. Which of the two you need depends on the process and the level of risk you’re willing to accept. We help you make that choice and then build the solution that fits, integrated into the systems you already have.

Agentic engineering: agents that actually do work.

Agentic engineering goes beyond isolated AI suggestions. Instead of a model that responds to each question individually, we set up agents that autonomously carry out a task within clear parameters, with your team acting as the director. This requires a different approach to development, and that’s exactly where our expertise lies. We run agents ourselves in production, in our own development process, and in our day-to-day operations, and we bring that practical experience to your project.

Three things that most often go wrong (and how we handle them).

1. Costs that spiral out of control. An agent can get stuck in a loop and inadvertently rack up costs. That’s why we build in a cost cap and rate limiting from day one, so usage never creeps up unnoticed.

2. Prompt injection. Hidden instructions can end up in the input and cause an agent to do something unintended. That’s why we never give an agent broader access than its task requires, so that a misleading instruction can cause minimal damage.

3. Too much autonomy over irreversible actions. Sending, deleting, or paying cannot be undone. That’s why we set up human checkpoints for precisely those actions, so that approval is always required.

15+ years of experience: Cube as your digital partner.

Cube has been building mission-critical software for over fifteen years. AI agents and copilots are tools we use to do that: built by people who know what they’re creating and who run them in production themselves. We integrate them into your existing systems, set up role-based access and an audit trail via MCP, and carefully select the model that best fits your use case. Would you like to have an agent or copilot built that works within your software? Schedule a meeting to discuss what’s feasible for your situation.