AI voice agent
A voice-first agent that handles conversations, requests and routing. Built for support, information and guided flows.
Secure, task-driven AI workers with clear rules, controlled outputs and real integrations. They talk, write, recommend, generate and run workflows. Always with boundaries and a handover to a person.

AI is everywhere, but a lot of it still feels like a fun toy, not a business tool. An agent has measurable outcomes and the discipline to stay within your rules. That is how AI becomes a dependable part of your operation.
Find your first agent →Five jobs agents take off your team, without taking control away from it.
Seven agent types we have built, with the brands behind them. Yours can start from one of them.
A voice-first agent that handles conversations, requests and routing. Built for support, information and guided flows.
Thousands of unique, on-brand outputs from structured inputs. Built for scale.
An agent that writes in your tone, for your formats. Product copy, landing page variations, scripts, emails and help content.

A few smart questions, then the right product, bundle or next step. Clear logic, measurable outcomes.
Helps teams create or adapt visuals using templates and rules. Built for speed and consistency.
Visual outputs within brand boundaries and prompt rules. Built for campaign creativity.
A friendly, branded agent for longer interactions. Education, onboarding, motivation or guidance.
Five steps, from the job it has to do to the loop that keeps it improving.
We define the real job: what the agent should achieve, who it serves and how success is measured.
We connect the agent to your data, content and systems, so it understands your context and speaks your language.
Decision paths, tone rules and safety boundaries that keep every interaction on-brand and on-track.
Tools and APIs that let the agent do more than generate. It can trigger workflows, update records or deliver outputs to your channels.
Once live, the agent is monitored, tested and refined. It improves in accuracy, tone and performance with real use.
We design what the agent may and may not do. Then we build inside those limits.
The agent answers only from a knowledge set you approve: product facts, prices, policies.
When a question falls outside its rules, the conversation goes to your team.
Logs live in an admin panel. Fix the source and the agent changes with it.
Obligations assessed before each project. Users are always told they are talking to an AI.
Launch a single agent fast, or run it inside the brainylab Gamification Engine so your team can operate and scale it over time.
One agent, one job, shipped fast. The right start when you want to prove the use case.
A reusable agent system your team can run across use cases.
What legal, IT and marketing teams ask before the first agent goes live.
No. A chatbot follows a script. An agent has a role and rules, understands the question and can act through approved tools, for example checking a product database or handing the conversation to a person.
Our agents are built on current language models, so they handle questions nobody scripted, in the language the customer uses.
Agents for brand and customer-facing work: voice agents that answer customers, recommendation agents that guide a purchase, writers that produce on-brand content at volume, and design and image agents that create visuals within brand rules.
We do not build agents that manage ad budgets or run CRM and sales-ops automation.
Yes. Tone, vocabulary, style rules and output formats are defined and enforced.
Yes. We design the boundaries first. Then we build inside them.
The agent answers only from a knowledge set you approve: product facts, prices, policies. It cannot invent information outside that set, and it hands the conversation to a person when a question falls outside its rules.
Every conversation is logged in an admin panel. When something is off, you correct the source and the agent changes with it.
Yes. Our voice agent runs in Slovenian and English in real time and switches language with the caller. The content structure and operating setup support multi-language scaling.
We choose the model per use case. The model provider for each AI feature is documented in writing and listed in our sub-processor register, so your legal team knows exactly where data goes.
Before each project, we assess which GDPR and EU AI Act obligations apply, including the AI risk classification. Users are told they are talking to an AI. Each AI feature is documented (purpose, data sources, model provider, user disclosure), and personal data is processed under a Data Processing Agreement.
Both. We can launch a single agent fast, or build an agent system your team can reuse across use cases.