AI agents that actually work in your business.

At Globeria Consulting, security is part of the architecture from the start, not an afterthought. For particularly sensitive data we offer local LLMs that run completely on-premise on your own infrastructure — no data leaves your network in the process. If a cloud solution makes more sense, we work exclusively with European providers, encrypt all data end-to-end, and provide a data processing agreement (DPA) as standard for every project. Every AI agent is also designed with an escalation system that automatically presents unclear or high-risk decisions for human review instead of acting independently.

In most cases, yes. Even legacy systems without a modern REST API can be connected to an AI agent via database access, file exports, screen automation (RPA), or existing batch interfaces. Before we start development, we assess exactly which integration paths your system allows as part of a technical analysis, and choose the most stable, lowest-maintenance option — not necessarily the most technically elaborate one. Globeria Consulting has already connected AI agents to SAP R/3 installations, custom-built ERP systems, and decades-old inventory management systems, without disrupting running processes or replacing existing software.

A first, production-ready AI agent for a clearly defined process typically goes live at Globeria Consulting within 5 working days — that is our standard for a focused use case such as email response or appointment booking. More complex systems with deep ERP or CRM integration, multiple data sources, or a multi-agent approach typically take 4 to 8 weeks. In every case we work with weekly status updates, one fixed point of contact, and clear milestone planning, so you can track progress at any time instead of being surprised at the end.

This is exactly the case we design every AI agent for with a clear escalation system, rather than expecting it to solve everything on its own. If the agent encounters an unclear, high-risk or unusual situation, it transparently documents the context so far and hands the case over to a responsible employee — instead of guessing or making a wrong decision. These handovers are logged and reviewed regularly, so the agent learns over time which cases it can handle independently in the future. This approach is the main reason our AI agents achieve operational accuracies of 97 to 99.5 percent.