Nia learns from every conversation your team resolves
NDocs is what she knows about your properties. NLearn captures what she doesn't — automatically, with each human-handled conversation. Continuous training, zero manual work.
Do you allow pets in the apartment?
Yes, we do! There's a R$80/day pet fee, with a 1-pet limit per booking.
Pet policy — Marina building
Pets allowed with a R$80/day fee, 1-pet limit per booking.
Knowledge that dies in the conversation
Without automatic capture, every resolved ticket is a learning opportunity thrown in the trash.
Knowledge dies in the conversation
An agent solves something Nia couldn't, but the learning never reaches the base. Next guest asks the same thing — someone replies all over again.
Each agent answers their own way
No standardization. Everyone makes up their own answer. Customers get a different version depending on who's on shift.
You don't know what your guests ask the most
No visibility into what becomes a ticket, which property generates the most demand, or why. Decisions become guesses.
Each channel, its own version of the truth
What the AI can say on WhatsApp, it can't say on Airbnb. NDocs splits per channel automatically.
Channel rules
We accept PIX and installment slips. Coupon Whats10 gives 10% off direct bookings.
Each channel carries its own communication rules. NDocs ensures Nia never crosses compliance boundaries.
Persona in English
## Critical Conversation Rules
- Greet only on first contact of the day.
- Treat ongoing conversations as continuous.
## Core Identity
You are Nia, a professional yet friendly customer support
agent for a short-term rental management company.
## Communication Style
Conversational WhatsApp tone. Short, mobile-first paragraphs.The Persona is injected directly into the model, so it must always be written in English. Defines how Nia behaves — not what she knows.
5 effects that show up in your business
Not just features. Operational consequences.
Fewer repeat tickets
AI self-service grows with every cycle. Nia learns to handle what your team already handled.
Knowledge retained
No losses to turnover. Documentation no longer depends on who's still on the team.
Scale without cost
+property ≠ +docs team. Multi-property replication with a single approval.
Always-fresh base
Reflects the actual problems guests bring up. Updates come from real conversations, not quarterly planning.
Zero manual curation
The pipeline handles extraction, validation and structure. You just approve or reject.
Users recommend
At first my team still replied to a lot manually. Two months into NLearn, Nia started solving exactly the questions my agents answered most. Today my team barely enters guest conversations anymore.
Ready for an AI that learns from your team?
Book a demo and see how NDocs + NLearn train Nia continuously.