Conversational AI
AI Chatbot
An artificial intelligence (AI) chatbot built on Rasa that resolves routine customer conversations and hands the rest to an agent with full context.
Overview
The Nectar AI Chatbot, built on Rasa, handles the repetitive share of customer conversations end to end, status checks, FAQs, form-filling and triage, then hands off to a human with full context when the request needs judgement.
Nectar's AI Chatbot handles the repetitive share of customer contact: balance and status checks, frequently asked questions, form filling and triage. When a request needs judgement it hands over to a human along with the entire conversation, so the customer never repeats themselves. It is built on the open-source machine learning platforms Rasa and Rasa X, and connects to your service channels and back-office application programming interfaces (APIs). Business teams update intents, flows and responses without waiting for a release.
Built for
- Support teams with high volumes of repeat queries
- Organizations serving customers outside business hours
- Teams scaling service without adding headcount
Outcomes you can measure
24/7
Always answering
No queue outside business hours, in your customers' language.
60%
Query containment
Routine conversations resolved without an agent.
Instant
First response
Wait time removed for the majority of incoming requests.
What's inside
Functional modules that ship with AI Chatbot, configurable to your process.
24/7 automated service
Always-on answers for routine requests, with human handover on demand.
Omni-channel conversations
Web, app and messaging channels sharing one conversation model.
Personalization
Customer context from CRM drives tailored, account-aware replies.
APIs & integration
Robust APIs to query orders, tickets, balances and back-office systems.
No-code configuration
Business teams update intents, flows and responses without a release.
Analytics & tuning
Containment, fallback and satisfaction metrics guide continuous training.
Key capabilities
- 24/7 automated responses across web, app and messaging channels
- Context-aware replies driven by customer relationship management (CRM) data
- Human handover that carries the full conversation history
- API integration to orders, tickets, balances and billing systems
- No-code updates to intents and responses, plus containment analytics
How we roll it out
- 1
Intent design
Mine real transcripts to pick the highest-volume journeys first.
- 2
Build & train
Model intents, flows and fallbacks; connect back-office APIs.
- 3
Pilot
Launch on one channel with human-in-the-loop review.
- 4
Improve
Retrain on live data monthly and widen scope by containment gains.
Integrates with
Relevant portfolio
Delivery work where AI Chatbot or the same capability solved a real enterprise problem.
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Which languages are supported?
The Rasa-based NLU is trained per deployment, so we support the languages your customers actually use.
Can it escalate to a human?
Yes: handover passes the full conversation context to your agent tool so customers do not repeat themselves.
How long does a first launch take?
A focused pilot covering the top journeys typically goes live in weeks, not quarters.
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