Your team cannot maintain a response SLA in seconds at 10:00 PM on a Tuesday. We design and implement Corporate Chatbots based on Large Language Models (LLMs) strictly trained on your company's knowledge. 24/7 technical precision without making up data.
Traditional chatbots (based on rules and buttons) generate friction: if the user asks a question outside the exact script, the system collapses and frustrates the customer.
Our assistants use Natural Language Processing (NLP). They understand the context, intention, and semantic nuances of the query, cross-referencing information with your manuals, catalogs, or internal knowledge bases (RAG Architecture) to deliver resolving answers.
Your customer service (L1) is saturated by recurring queries and basic operations.
You offer global services and need to support multiple languages without hiring native agents.
You handle an extensive volume of technical, legal, or product documentation that clients do not read themselves.
You seek to qualify leads (Triaging) by extracting key variables before assigning the ticket to your sales team.
You want to centralize data governance and not rely on third-party SaaS plugins that violate your users' privacy.
Initial patient triaging, resolving doubts about insurance coverage, treatment explanations, and pre/post-operative FAQ management.
Qualification of legal or corporate leads. The assistant extracts the context of the client's problem before scheduling the consultation with the partner.
Resolution of shipping policies, returns, product specifications, and size guides, mitigating support ticket volume.
Multilingual digital reception: inquiries about facilities, service hours, cancellation policies, and local area guides.
Level 1 incident resolution by ingesting your software's technical documentation or API docs. Escalation to Level 2 only if necessary.
Assistant for prospective students: resolving doubts about study plans, admission requirements, scholarships, and academic calendars.
We collect and structure your company's knowledge corpus (Databases, PDFs, URLs, Manuals) for processing.
We transform your documentation into vector representations so the Language Model (LLM) can search and retrieve the exact information (RAG Architecture).
We fine-tune the model's behavior: corporate tone of voice, response limits (to avoid hallucinations), and strict rules for human handoff.
Installation on your web infrastructure. We activate a telemetry dashboard to audit logs, measure the resolution rate, and continuously retrain the model.
We implement a strict RAG (Retrieval-Augmented Generation) architecture. The model is forbidden from using its general knowledge; it only formulates answers by extracting paragraphs from the document database we provide.
Unlike SaaS solutions like Tidio or Intercom, our deployment can be isolated on your own infrastructure (Self-Hosted) or dedicated instances, guaranteeing regulatory compliance (GDPR) and industrial secrecy.
Yes. The AI core is channel agnostic. We can connect the same cognitive brain to a web widget, the official WhatsApp Business API, or channels like Slack and Microsoft Teams for internal support.
We only need to replace or update the source document in the vector database. The bot will acquire the new knowledge in real-time, without requiring code reprogramming.
Yes. Modern LLMs are inherently multilingual. The bot understands the query in the source language (e.g., German), searches for the answer in your documentation (e.g., Spanish), and translates the output to German instantly.
Request a technical meeting. We will evaluate your current support volume and the viability of delegating Level 1 to a cognitive assistant.