AI Agent Development Company in Frankfurt

Cost depends on scope. A single-purpose task agent for a Frankfurt, Hesse business reaches production in four to six weeks. Multi-agent systems with several specialists and ten or more integrations run two to five months, and organisation-wide agent platforms scale with the number of core systems and compliance regimes involved. We quote fixed-price after a free scoping session rather than billing hourly, so the number does not move once we agree the scope.

A chatbot answers questions with text. An AI agent takes action — it reasons about a goal, plans the steps, calls your APIs, queries your databases, updates records, and completes the task. For a Frankfurt business the practical difference is that a chatbot deflects a support ticket with an article, while an agent looks up the order, issues the refund, updates the CRM and closes the ticket.

For the right tasks, yes — but reliability is engineered, not assumed. Every agent we build for Frankfurt clients ships with hard limits on iterations and spend, an explicit escalation path for cases below its confidence threshold, human approval gates on any irreversible or high-value action, and a complete audit trail of every decision. We also run a shadow-mode period against your live traffic before anything goes autonomous, so trust is earned on your data rather than on a demo.

The enforcement lives in the tool layer, not in the prompt. Destructive operations either are not exposed as tools at all, or they require an approval token the agent cannot issue to itself. Spend ceilings, rate limits and row-count caps are checked server-side on every call, so they hold even if the model is wrong or is manipulated. Where the domain allows it, write actions are designed with a defined undo.

Yes — anything with an API, which covers ERPs like SAP and NetSuite, CRMs like Salesforce and HubSpot, ticketing systems, databases, email, Slack and Teams, and internal services. For legacy systems in Frankfurt, Hesse with no modern API we build a narrow bridging integration rather than screen-scraping, because scraped integrations break on cosmetic changes and fail quietly.

Four to six weeks for a single well-scoped workflow including the shadow-mode period, assuming we get access to the target systems in week one — API credentials are usually the critical path, not the engineering. Broader programmes covering several related workflows for Frankfurt businesses typically run two to four months, and we stage them so a narrow version reaches production early rather than nothing shipping until the end.

Yes. We deploy the full stack — orchestration, retrieval, state and open-weight models — inside your cloud account or on-premise where data residency or regulatory constraints require it. This is standard for our healthcare, financial services and public-sector clients, and it means no business data crosses your boundary at any point.

Always, on day one and before any project discussion. Agent projects require us to understand your actual internal workflows, so the NDA comes first as a matter of course. You also retain full ownership of the agent, its prompts, its tool layer and its evaluation suite — there is no lock-in to a proprietary platform of ours.