Specialised AI Agents: Intelligent Orchestration

At Hubtype, we understand our AI agents as intelligent assistants, digital employees, to whom you can give a goal, rules of conduct, and access to your company's tools so that they can manage tasks autonomously. 

Our AI agents:

• They reason and execute: They analyse the situation and context of the user they are assisting, make decisions and complete end-to-end processes (such as closing a sale or updating a CRM).
• They are specialists: They can be focused on specific areas (sales, support, marketing) and collaborate with each other through an orchestrator who coordinates their interventions.‍
• They integrate deeply: They act directly on your current technology stack (APIs, ERP, Salesforce), executing real actions instead of just querying information.

An AI agent is not a rule-based chatbot or a simple system of predefined responses limited by a static "decision tree" that breaks down as soon as the user deviates from the script.

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Unlike a passive system that simply "reads answers from a manual," the AI agent is capable of recalibrating itself to maintain the process's resolution. That is, if it encounters an obstacle, it adjusts its strategy and continues working until the case is solved.

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Nor should it be understood as a generic AI "black box" operating uncontrolled over the internet; on the contrary, it is a system shielded by strict guardrails that anchors exclusively to your knowledge base to guarantee reliability and eliminate any risk of invention or hallucination.

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The difference between a rule-based chatbot and an AI agent represents a complete paradigm shift: it goes from following a pre-written script to having the ability to reason and execute.

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Generally speaking, a rule-based chatbot is like an operator who can only read phrases from a pre-printed manual, while an AI agent is like a smart employee who is given a goal, access to company tools, and rules of conduct, and it manages the task autonomously.

LLMs alone are probability engines that can "hallucinate" (invent answers based on what is most likely linguistically, not on reality). At Hubtype, we use 4 key mechanisms to prevent fabrications and inappropriate behaviour:

1. We connect the agent to reality (with tools and knowledge bases). To prevent the agent from inventing data, we eliminate the need to "guess" and give it the ability to "see" the real data.
2. We add security barriers (guardrails), which act as an AI-powered "moderation filter" that reviews messages before processing or responding to them.
3. We define instructions and roles. We establish the agent's personality and objective through System Prompts.
4. We advocate for a hybrid model combining rules and AI, where the creative or conversational aspects are handled by AI, but the strict processes (such as payment confirmation or legal terms) are managed through rule-based workflows or decision trees. This ensures that "if the user says A, the system responds B" without any margin of error.

In short: AI is not left "unleashed." It is confined to an environment where, to obtain data, it must use official tools; to communicate, it must respect security guardrails; and to behave, it must follow strict instructions.

The short answer is NO. You don't need to change your current CRM or software to implement AI agents with Hubtype. In fact, Hubtype's architecture is specifically designed to integrate with and enhance the tools you already use, not to replace them.

To avoid chaos, Hubtype uses a centralised architecture called the "AI Super Agent Orchestrator."

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This system acts as an "orchestra conductor," ensuring that each agent intervenes only when necessary, keeping the conversation smooth and coherent. The orchestrator decides who speaks next based on intent, while the helper agents silently process data.

Yes, security is at the core of our architecture, precisely because we work with large companies that cannot afford a single compliance error. Our infrastructure is based on four fundamental pillars:

• Your data is yours alone: We don't use public AI, and your data is never used to train external models. We work with Azure OpenAI, which means your conversations are on a private and secure infrastructure.
• Privacy by design: Before the agent takes any action, they ask the user for explicit consent in the chat. If the user does not provide consent under GDPR requirements, there is no interaction. Furthermore, we record that "yes" directly in your system so you have complete legal documentation.
• Zero sensitive data in the chat: When it's time for a payment or to request critical information, we don't allow the user to type it in the WhatsApp chat. We open a secure web window (webview) so the transaction is encrypted and none of it is saved in the conversation history.

Compliance in regulated sectors: Our technology is currently validated by compliance departments in highly demanding sectors, such as healthcare and security.

We know you don't have months to wait. That's why our focus is on immediate impact: we implement a "Quick-Wins" strategy to automate what's currently overwhelming you, and from there, we scale.

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We work on your existing technology, so you start freeing up operational resources from the very first implementation.