Service : build
Conversations that do something.
Conversational AI lets customers and staff get things done by chatting: answering questions, checking orders, capturing details and triggering workflows. Novistu designs and builds assistants on your data and systems, with conversation design, guardrails and analytics, on web, WhatsApp and in-app.
The mechanism
Assistants grounded in your products, policies and systems.
- Message
- Understand
- Retrieve
- Act
- Reply
The problem
What this fixes
Most chatbots frustrate people
Keyword-matching bots with five buttons and a fallback apology burn goodwill. A useful assistant understands the request, does the task and knows when to hand over.
Teams answer the same questions daily
Pricing, availability, order status, policy clarifications. Each one is quick alone and crushing in volume, at every timezone your customers live in.
Chat should feed your systems
A conversation that captures a requirement, logs a ticket or books a meeting is an event. One that dead-ends in a transcript is wasted work.
How we build it
Principles before code.
01
Conversation design
We map real dialogues, define the assistant's scope and personality, and script the paths: success, partial success, escalation. Nothing improvises its way into your brand voice.
02
Ground it in your truth
Retrieval from your content and structured lookups into your systems keep answers factual and current, with citations where it matters.
03
Actions, not just answers
The assistant checks orders, updates records, books meetings and hands tickets to humans with full context.
04
Measure and improve
Every conversation is logged and rated. Unanswered questions become content tickets; weak paths get redesigned weekly.
Delivery
From first call to running system.
- 01
Design
Map intents, dialogues and system actions. Agree scope and tone.
1 week - 02
Build
Assistant, retrieval, integrations and guardrails in staging.
2 to 3 weeks - 03
Pilot
Limited audience, reviewed transcripts, weekly tuning.
2 weeks - 04
Scale
Full traffic with analytics and a standing improvement loop.
Ongoing
What you get
- Conversation design: flows, persona, tone and escalation rules
- Assistant on web, WhatsApp or in-app, grounded in your data
- Integrations: CRM, helpdesk, calendar, order and billing systems
- Guardrails, moderation and fallback behaviour
- Analytics: resolution rate, deflection, satisfaction and gaps
- Ongoing tuning as real conversations accumulate
Proof
Systems like this, in production.
Questions
Asked before every build.
A classic chatbot matches buttons and keywords. A conversational AI assistant understands free language, retrieves facts from your systems, performs actions and escalates with context. We build the second kind, because the first is what gave chatbots a bad name.
Yes, via the WhatsApp Business API, alongside web and in-app. Conversations share memory across channels so a customer can start on the site and continue on WhatsApp.
Grounding and scope: the assistant answers from retrieved, approved content and system lookups, and says when something is outside its scope. Guardrails block off-topic and unsafe use, and unknown questions route to humans.
A scoped assistant for one or two channels is typically a small fixed-scope build plus a modest running cost for models and hosting. We size both in the estimate.
Tell us what is eating your team's hours.
A short brief, answered within one working day. The first call is free, and if AI is not the right answer, we will say so on that call.
First call free : honest about fit : no obligation