AI assistants to answer, qualify and assist with enterprise control
We build AI assistants for support, sales and operations. They connect with your internal knowledge base, follow business rules and escalate to humans whenever needed.
What is an enterprise AI assistant?
Enterprise Use Cases
Initial Customer Support
Answers FAQs from official documentation and routes customer tickets.
Sales Lead Qualification
Collects budget, location and requirements before transferring to sales reps.
Internal Operational Assistant
Helps employees find procedures across internal manuals and documents.
What an AI assistant CAN and CANNOT do
Clear boundaries based on real production deployments:
| ✅ What it CAN do | ❌ What it CANNOT (or shouldn’t) do |
|---|---|
| Answer FAQs directly citing your official documents | Make decisions requiring professional judgment or legal liability |
| Collect and qualify prospective client data | Close complex sales without human involvement |
| Search internal documentation and quote sources | Hallucinate answers — must clearly state when info is missing |
| Operate 24/7 without delays | Replace human empathy when handling upset clients |
| Create CRM tasks or check appointment availability | Access data outside explicitly granted scopes |
| Detect when to hand over to a human team member | Self-train from live chats without human oversight |
| Support multiple languages natively | Guarantee 100% accuracy — continuous monitoring is essential |
Our rule: an assistant should be better than no support, not better than a skilled human. When human touch is needed, it smoothly hands over.
Key differences from generic chatbots
Controlled Knowledge (RAG)
We strictly define source documentation so the AI cites accurate facts.
Guardrails & Human Escalation
It recognizes uncertainty and hands off smoothly to human specialists.
CRM & API Integrations
Logs interactions in CRM, triggers tasks and checks real-time inventory.
Continuous Evaluation
We test accuracy, resolution speed and user satisfaction continuously.
This website’s assistant is our own live product
How long does implementation take?
| Alcance | Plazo aproximado |
|---|---|
| Assistant over existing documentation (FAQs, catalog, terms) | 1 – 2 weeks |
| With lead capture and CRM synchronization | 2 – 4 weeks |
| With custom system APIs and complex business logic | 4 – 8 weeks |
Timelines depend primarily on the structure and readiness of your documentation.
Transparent Pricing
Initial setup starting from €450 for defined scopes.
How client data and privacy are protected
We define GDPR compliance and data handling agreements before launch:
Dedicated data processing protocols for healthcare, legal and financial clients.
Do you need a custom assistant or a unified inbox?
Frequently Asked Questions about AI Assistants
Is this the same as a chatbot?expand_more
No. Rule-based chatbots follow rigid scripts. AI assistants understand natural language and answer based on your actual verified documentation.
Can it hallucinate false answers?expand_more
Not when configured with strict RAG guardrails that mandate acknowledging lack of data rather than improvising.
Do I need perfectly organized docs?expand_more
It helps, but structuring your existing materials is part of our onboarding work.
Will customers know it is an AI?expand_more
Yes, transparency builds trust from the very first message.
What happens when it cannot answer?expand_more
It transfers the chat to a team member with a generated conversation summary.
Can it integrate with WhatsApp?expand_more
Yes, through the official WhatsApp Business API used in N1 Conecta.
Which AI model powers it?expand_more
We choose the optimal model per client based on accuracy, cost, or privacy needs.
