AI agents
that talk and take action
by voice and text.

24/7 chatbots and voicebots that understand intent, answer with your documents, take action in your systems and escalate to a person when needed. Wolk-us, a certified Wolkvox partner, implements them and supports you along the way.

Contact center agent with glasses and a headset, talking with a customer
AI agents for voice and text

It's not a menu bot.
It's an agent that resolves.

An AI conversational agent understands what the customer says, by text or by voice, and resolves their request: it answers with your company's information, queries your systems and, when appropriate, takes an action or hands the case to a person. It doesn't follow a closed list of options like a menu bot.

According to Wolkvox's product page, its conversational agents learn from every interaction, respond 24/7 and reduce costs with generative AI and RAG. Wolk-us implements them as a certified partner.

Menu bot
I want to move my payment date
I didn't understand your message. Choose an option:
AI agent
I want to move my payment date
Understands the intentChecks your systemTakes actionConfirms
Done, I moved your payment to the 28th.

One AI agent, five points of view

See how an AI agent serves a customer by text or by voice, queries a system, asks a person for approval and is then measured. Switch between text and voice on the phone, and between tabs to see Studio, the AI agent, the systems, the person and analytics.

How it's built

In Wolkvox Studio, flows are built in a low-code visual editor. With Agentic Flow, you can also describe what you need in natural language, by typing or dictating, and the AI creates or modifies the flow.

    You can also describe an IVR in plain text and the AI builds its logic, and design flows with a multi-agent architecture for specialized cases. Official Agentic Flow guide

    Everything it includes

    What you can combine so the agent understands, looks things up, takes action and improves over time.

    Autonomous and multi-agent

    • Autonomous conversational agents for voice and text
    • Multi-agent architecture for specialized flows
    • Escalation to human agents or to other AI agents based on the logic of the conversation

    How we work

    Every stage is carried out by a Wolkvox-certified team.

    1. 01

      Assessment

      We define clear KPIs, map your current journey and spot quick wins.

    2. 02

      Implementation

      Agile rollout in priority stages, without stopping your operation.

    3. 03

      Automation

      AI where it hurts most: self-service to reduce volume and copilots for agents.

    4. 04

      Optimization

      It doesn't end at go-live: we fine-tune bots and optimize costs with FinOps.

    Frequently asked questions

    What is an AI conversational agent?
    It's an assistant that understands what the customer says, by text or by voice, and resolves their request: it answers with your company's information, queries your systems and, when appropriate, takes an action or hands the case to a person. Unlike a menu bot, it doesn't follow a closed list of options.
    Which channels can it handle?
    Voice and text channels, including WhatsApp Business. A single design can serve several channels.
    What does it mean that it answers with my documents?
    It's called RAG: the agent looks for the answer in the documents you train it on, such as policies, manuals or FAQs, instead of making it up. wvx Copilot lets you choose the document domain each flow uses.
    Can it take actions in my systems?
    Yes. It can take actions on your APIs, databases and external systems through AI functions, connect to your tools with MCP and OAuth, and query your database in natural language with Agentic DB, under the permissions and rules you set.
    What if the case needs a person?
    The agent can escalate to a person with the context of the conversation. You can also have the flow pause and send the information to a human agent, who reviews it and responds before the flow continues, with the Agent in the Loop component.
    Can it be built without coding?
    Yes. Flows are designed in a low-code visual editor. In addition, Agentic Flow lets you create and modify flows by typing or dictating instructions in natural language, and the Test ChatBot tool lets you test them.
    Which AI models does it use?
    Wolkvox is compatible with different generative AI engines, from ultra-fast models to advanced reasoning models, depending on the use case, and lets you choose among providers such as OpenAI, Gemini and Anthropic.
    How does it improve over time?
    Agentic Analytics evaluates the performance of AI agents with metrics such as FCR, CSAT, NPS and AHT, detects recurring issues and suggests recommendations that can be applied in Studio. Text Analytics and AutoQAi measure sentiment and quality.
    How much does it cost?
    It depends on the base license, the channels and the volume of your operation. You can put together an estimate with the 2026 Pricing Calculator or request an Express Assessment.

    Want to see it in your operation?

    Book an Express Assessment and we'll show you real opportunities for improvement.