Realtime AI News
NFON Launches AI Agent Studio for European SMEs
NFON AG released AI Agent Studio on Thursday, letting companies build custom AI agents either by describing tasks in natural language or by assembling visual workflows. The product is available now and is sold through NFON's European partner network to small and mid-sized businesses.
NFON AG, the Munich-based business communications provider listed on the Frankfurt exchange, launched AI Agent Studio on Thursday, a product for building custom AI agents aimed squarely at small and mid-sized companies. The company said the studio is available now.
The studio adds a conversational route to the visual approach NFON already offered, with both working in a shared workspace. In Agent Mode, users describe an agent's tasks, behaviour and requirements in natural language, and the system generates an initial working solution that can be tested and refined through dialogue.
Proposed changes in that loop are reviewed and approved before they are implemented, and every change stays traceable and can be reversed. In Flow-Based Mode, users build agents with visual workflows and configure individual process steps, specifying which actions run under which conditions, which gives precise rule-based control where a process needs it.
CEO Andreas Wesselmann framed the release as a portfolio expansion. NFON wants to grow in line with customer requirements, address a wider range of operational tasks and act as a long-term technology partner for AI transformation in the European SME sector, while providing the technical foundation for more complex applications in larger organisations.
Jana Richter, executive vice president of engineering, AI and innovation, put the goal more bluntly: the aim is to democratise advanced AI automation, so that ideas rather than technical barriers determine what a company can achieve.
Distribution runs through NFON's European partner network. The company cites voicebots that already take insurance claims, process meter readings for energy suppliers and pre-qualify enquiries at tradespeople's businesses. Partners can extend those flows with the studio, build a demo for a customer meeting and iterate without standing up a full development project. NFON is backing this with training, certification, implementation examples and sales materials.
The competitive question in enterprise agent platforms is shifting from whether agents can be built to who lowers the barrier and who governs change. Approval gates, traceability and rollback, plus NFON's positioning that it develops and operates its solutions in Europe under GDPR, are the differentiators it is selling to mid-market buyers.
What to watch is whether partners move these agents from demos into billable production workflows, and whether NFON discloses customer numbers or revenue contribution from the AI portfolio. Until then, AI Agent Studio is a platform bet on a partner channel rather than a proven volume business.
Why it matters
Agent platform competition is moving from model capability to ease of building and control over change. NFON is betting on compliance and partner channels rather than hyperscaler distribution.
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