DESCRIBE. CREATE. TEST. REFINE.

From idea to AI Agent.

Your customers want answers now. AI Agent Studio helps you create, test and refine the AI Agent that gives them. Describe the task and build a first working Agent with the new Agent Mode, powered by botario technology.

Your customers’ questions are your starting point

Your team knows what customers ask most and how a helpful conversation should work. AI Agent Studio turns that knowledge into a first working Agent. Describe its goals, behaviour and requirements in plain language, test the result and refine it around your processes.

Your words become a working Agent

The new Agent Mode creates a first working configuration from persona, behaviour, knowledge and tools. Test it directly and refine it with the AI Assistant. Flow-Based Mode remains available for visual workflow creation and control over individual steps.

BUILT AROUND YOUR NEEDS

Easy to create.
Ready for complex requirements.

Choose how you build and keep control as your needs evolve. AI Agent Studio brings creation, testing and refinement into one workspace, with the flexibility to add knowledge, tools and more detailed workflows.

CHOOSE YOUR APPROACH

Two ways to build.

Describe the task in Agent Mode or configure workflows visually with Flow-Based Mode.

ONE WORKSPACE

Create, test and refine.

Build and improve your AI Agents in one workspace, with changes you can review, approve and roll back.

Why AI Agent Studio for your business?

Insurance claims

See how an AI Agent handles the first contact for travel-insurance claims: it identifies the claim type, collects the required details and forwards sensitive cases to a designated team. Connection to your CRM or ticketing system follows as a separate step.

Citizen services

See how an AI Agent answers routine questions from official information and coordinates appointments: booking, rescheduling and cancelling. Connection to a live appointment system follows as a separate step.

Energy customer service

See how one AI Agent handles address changes and meter-reading submissions, asks for missing details and reads back every entry. Connection to live billing and metering systems follows as a separate step.

Build options

Choose how you build and develop your AI Agents

Agent Mode

Describe what the Agent should do in plain language. Agent Mode creates a first working configuration, so you can test your idea earlier and develop it around a real service task.

AI Assistant

Refine your Agent through conversation. Ask the AI Assistant to change instructions, add requirements or adapt behaviour. Review the proposed changes, apply them and test the updated configuration.

Flow-Based Mode

Create workflows visually and configure individual steps manually. Flow-Based Mode gives you deterministic control over the sequence, alongside the conversational approach of Agent Mode.

Tools

Use tools to develop the actions your Agent needs. A demo can illustrate the workflow with simulated connections. Real system integration and individual production requirements are addressed with the appropriate technical expertise.

Performance verified by users.

What is AI Agent Studio?

AI Agent Studio is a dedicated workspace for creating, testing and refining AI Agents, powered by botario technology. It combines Flow-Based Mode and the new Agent Mode, with the AI Assistant supporting conversational refinement.

Can I still build workflows visually?

Yes. Flow-Based Mode remains available for visual workflow creation and manual configuration of individual steps. Agent Mode adds a conversational approach alongside it. Both are part of AI Agent Studio, so you can choose the approach that suits the use case.

Does every Agent need an integration?

No. Simple Agents with little or no third-party integration can follow a self-service path. Complex APIs, third-party systems and individual production designs require technical implementation, supported by qualified partners and NFON Professional Services.

What changes with Agent Mode?

You start with a description of the Agent’s goals, behaviour and requirements. Agent Mode turns that description into a first working configuration. Test it directly and refine it in conversation with the AI Assistant.

How do I stay in control?

Changes remain inspectable and reversible. You can review and approve changes and use rollback. Separate development and production endpoints support controlled testing while you refine the Agent.

Where should we start?

With the question your customers ask most. Choose a service task your team understands well, describe the goal and requirements, test a first working version and refine it. Use the demo to agree the next steps, including channels, system connections and any technical support needed for production.

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