AI agents in your operational daily routine – not as a technical demo without process connection.
Connect OpenAI Assistants API – Customized and Seamless
The OpenAI Assistants API allows you to build persistent AI agents that can access their own data sources, utilize tools, carry out conversations across multiple steps, and handle complex tasks independently. Unlike a pure chat API, Assistants provide their own storage, file access, code execution, and Function Calling – the foundation for AI agents that have a real leverage in the operational daily routine. For operations-intensive mid-market companies, the Assistants API is relevant because it enables the leap from "AI answers questions" to "AI completes tasks." We integrate the OpenAI Assistants API into custom enterprise software. No off-the-shelf standard connection, no plug-in with limitations – instead, a tailored link that fits exactly with your processes and your system.
What We Integrate
| Integration Options | |
|---|---|
| 🔄 | AI agents that access your company data and answer questions in natural language |
| 📊 | Automated data analysis – the agent queries your database, analyzes it, and delivers results |
| 📄 | Document processing – the agent reads uploads, extracts information, and generates summaries |
| ⚡ | Task automation – the agent executes multi-step workflows, makes interim decisions, and uses tools |
| 🔗 | End-to-end integration with CRM, ERP, knowledge base, ticket system, and other systems |
How the Integration Works
We work directly with the OpenAI Assistants API – Threads, Runs, Tools (Code Interpreter, File Search, Function Calling), and the Vector Store. The integration is developed as a fixed component of your Operating System – no third-party middleware, no workaround. What this specifically means:
| 🏗️ | Customized connection – agents built for your data, your processes, your questions |
| 🔄 | Automatic data flow – the agent works with real-time data from your system |
| 🗄️ | A data foundation – agent results flow back into your central system |
| 🛡️ | Secure and GDPR-compliant – controlled data access, documented and traceable |
Typical Use Case
A project service provider with 55 employees has data in various systems – orders in the ERP, times in the time tracking system, communication in the CRM. When management wants to know which projects are over budget or which customers provide the highest margins, someone has to compile data from three systems. Simple questions take hours. Complex questions remain unanswered.
Through the integration, an AI agent becomes an operational analyst. Management asks: "Which projects have more than 15% budget overruns?" The agent accesses the project database, performs the calculation, and delivers a formatted answer with project names and figures. Sales asks about the last communication with customer X – the agent searches emails, CRM, and project documents. Questions that used to cost hours yesterday are answered in seconds.
Part of Your Operating System
The OpenAI Assistants API is the most powerful building block for AI agents available today. But without access to company data and integration into processes, Assistants remain a technical demo. Only as part of an integrated system do they unleash their full benefits – when agents work with real data, complete tasks independently, and seamlessly integrate results back into operational workflows. We develop AI-powered Operating Systems for operations-intensive mid-market companies. The OpenAI Assistants integration is one component of that.