AI agent builder on a proprietary framework
UniSquad
You describe the outcome. UniSquad builds the agent.
An AI employee builder running on a proprietary Kraufort Studio framework. You explain the goal and the rules as you would to a new hire, and the agent harness turns that into an agent that serves customers, follows rules it cannot break and learns from your team.
UniSquad
AI agent builder on a proprietary framework
- Agents built from goals and rules, no code
- Business rules the AI cannot break
- Learns from your team and does not repeat mistakes
Not another chatbot platform. A builder with its own framework and harness.
UniSquad is the Kraufort Studio platform for creating and running AI employees. Underneath it sits a proprietary framework built from scratch by Kraufort Studio, and at its core an agent harness: the structure wrapped around the AI. Like a climber's harness, it gives freedom of movement and prevents the fall.
In practice, the AI talks naturally and the harness takes care of the rest: it enforces your business rules, assesses the risk of every reply before it goes out, protects sensitive data, controls cost and only lets through what is allowed. The AI proposes; the harness decides.
For the people using it, all of this becomes simplicity. You do not write prompts, pick models or draw flowcharts: you choose a role, describe success in one sentence and write the rules as you would explain them to a new hire. And the agent keeps improving: when it does not know something, it asks your team, learns and does not repeat the mistake.
What sets UniSquad apart from anything you have seen.
Most AI tools ask you to write prompts or draw flows, then hope the model obeys. UniSquad was built the opposite way: you declare the outcome, and the harness guarantees how it is reached.
You describe the outcome, the framework builds the agent
Define success in one business sentence, such as “it worked when the customer books a consultation”, and write the rules as you would explain them to a new hire. UniSquad derives the behavior and applies it right away.
The usual:Writing long prompts or drawing flowcharts full of boxes and conditions.
A harness: rules the AI cannot break
Limits like “maximum 10% discount” or “refunds above a set amount need approval” live in the harness, outside the AI. It can only propose; the harness allows, blocks or asks for your approval. And the agent never says “done” unless the action really happened.
The usual:Asking the AI to obey in the prompt and hoping it does not forget.
Every reply reviewed before it reaches the customer
The harness assesses the risk of every message. Simple questions go through fast; money, sensitive data or an angry customer get a reinforced review. Data such as ID and card numbers is masked before any AI sees it.
The usual:The chatbot sends whatever the model generated, treating every topic the same.
It does not make things up: it asks, learns and does not repeat mistakes
When the knowledge base does not cover a topic, the agent tells the customer it will confirm and asks a supervisor on your team. The answer becomes knowledge or a rule, and next time it already knows.
The usual:Bots that invent answers or get stuck, and someone has to retrain everything by hand.
A team that passes the ball
Agents with different roles hand conversations to each other with full context, and to people on your team when it makes sense. An impartial evaluator gives each agent an accuracy score.
The usual:One isolated bot per flow, with no natural handoff between agents and people.
Transparent cost, conversation by conversation
The harness measures the real cost of every message, with quotas, per-reply ceilings and alerts. Easy replies use more economical models; hard ones, the strongest. You see what the agent did, why, and what it cost.
The usual:Opaque credits and no visibility into what happens in each reply.
UniSquad
Capabilities designed for the real routine of your operation.
Agents that are born ready
Start from service, sales or reception roles, already configured and checked. An agent is only marked as created when everything is right.
Lumi, voice setup
A voice assistant guides the initial setup by talking with you, with no long forms.
One customer, every channel
Official and unofficial WhatsApp, Telegram, website chat and e-mail on your own domain, with the same customer recognized from first click to conversation.
Your team in control
A unified inbox to take over any conversation, response deadlines for departments and integration with the CRM you already use.
No single-provider dependency
If an AI provider goes down, another one takes over automatically and service continues.
The engine as an API
Platforms and developers create and run AI employees behind their own interface. Contrate uma IA is built this way.
How it works
- 1
Choose a role
Service, sales or reception: the agent comes structured for the job.
- 2
Say what success is and what the rules are
One goal sentence and rules written as you would explain them to a new hire.
- 3
Connect the channels and follow along
The agent goes live, and you follow every conversation, cost and lesson from the dashboard.
What changes in practice
Predictability
The agent truly follows your rules, and sensitive actions go through your approval.
Gets better with use
Every answer from your team becomes knowledge: the agent completes itself through operation.
Cost under control
Quotas, ceilings and real cost per conversation, with no surprises on the bill.
Want to see UniSquad running in your operation?
Tell us a bit about your company and we will show you, in practice, how the solution fits your day-to-day.