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AI that does real work.

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.

Brand assistant agent answering from a product catalogue
TalkWriteRecommendGenerateExecuteTalkWrite
Voice agentAI writerDesign agentImage generatorRecommenderAI companion

Not a toy. A digital teammate with a defined job.

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 →

Where agents pay off.

Five jobs agents take off your team, without taking control away from it.

01Less manual workThey draft, classify, summarise, transform and prepare work for approval.AUTOMATION
02Instant answersYour internal content, product knowledge and brand rules, answered the same way on every channel.KNOWLEDGE
03Guided decisionsThe right questions first, then the right next step, product or offer.CONVERSION
04Personal at scaleTailored text, descriptions, variants and content at high volume, based on rules. No extra headcount.PERSONALISATION
05Safe automationThey answer 24/7 and still escalate when needed. Speed without losing control.CUSTOMER EXPERIENCE

Seven agents. Already built.

Seven agent types we have built, with the brands behind them. Yours can start from one of them.

01 · VOICE

AI voice agent

A voice-first agent that handles conversations, requests and routing. Built for support, information and guided flows.

brainylabArgeta
02 · SCALE

Mass personalisation agent

Thousands of unique, on-brand outputs from structured inputs. Built for scale.

03 · WRITING

AI writer

An agent that writes in your tone, for your formats. Product copy, landing page variations, scripts, emails and help content.

LidlTelekomZgodbarček
Zgodbarček AI story writer on tablet and phone
04 · DECISIONS

AI recommendation agent

A few smart questions, then the right product, bundle or next step. Clear logic, measurable outcomes.

Telekom Naj dariloTelekom Liffe
05 · DESIGN

AI design agent

Helps teams create or adapt visuals using templates and rules. Built for speed and consistency.

OKS
06 · IMAGES

AI image generator

Visual outputs within brand boundaries and prompt rules. Built for campaign creativity.

Argeta Tvoj tatubrainylab Santa
07 · COMPANION

AI companion

A friendly, branded agent for longer interactions. Education, onboarding, motivation or guidance.

Bitten

How an agent gets built.

Five steps, from the job it has to do to the loop that keeps it improving.

01

Discovery & orchestration

We define the real job: what the agent should achieve, who it serves and how success is measured.

02

Intelligence & context

We connect the agent to your data, content and systems, so it understands your context and speaks your language.

03

Logic & control

Decision paths, tone rules and safety boundaries that keep every interaction on-brand and on-track.

04

Action layer

Tools and APIs that let the agent do more than generate. It can trigger workflows, update records or deliver outputs to your channels.

05

Learning loop

Once live, the agent is monitored, tested and refined. It improves in accuracy, tone and performance with real use.

Boundaries first.

We design what the agent may and may not do. Then we build inside those limits.

Approved knowledge only

The agent answers only from a knowledge set you approve: product facts, prices, policies.

Handover to a person

When a question falls outside its rules, the conversation goes to your team.

Every conversation logged

Logs live in an admin panel. Fix the source and the agent changes with it.

GDPR & EU AI Act

Obligations assessed before each project. Users are always told they are talking to an AI.

Standalone, or on the Gamification Engine.

Launch a single agent fast, or run it inside the brainylab Gamification Engine so your team can operate and scale it over time.

Option 01

A standalone tool

One agent, one job, shipped fast. The right start when you want to prove the use case.

Fastest to launch
Option 02

Part of the Gamification Engine

A reusable agent system your team can run across use cases.

  • CMS control
  • Multi-language structure
  • Analytics
Take the Gamification Engine apart →
Agents we built for
ArgetaLidlTelekom Slovenije

Agent questions.

What legal, IT and marketing teams ask before the first agent goes live.

Is an AI agent just a chatbot?

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.

What kind of agents do you build?

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.

Can it sound like our brand?

Yes. Tone, vocabulary, style rules and output formats are defined and enforced.

Can we control what it is allowed to do?

Yes. We design the boundaries first. Then we build inside them.

How do you stop it making things up?

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.

Does it speak Slovenian?

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.

Which AI models do you use?

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.

GDPR and the EU AI Act?

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.

One-off or a reusable system?

Both. We can launch a single agent fast, or build an agent system your team can reuse across use cases.

A free quote for
your first agent.