AI WhatsApp Assistant
Open-ended AI conversation backed by your configured LLM or custom agent.
View pitchDeployments
Knowledge base + RAG
Tenant agents with custom models, knowledge base articles, vector RAG, and inbox copilot suggestions.
Elevator pitch
Ground AI answers in your docs, policies, and FAQs with vector RAG. Deploy agents in Flow, deflect enquiries automatically, and give human agents copilot suggestions in the inbox.
The problem
- Generic LLM chatbots hallucinate on company-specific questions.
- Agents search wikis manually while customers wait.
- AI and support tools are separate products with no shared context.
How Syntra solves it
- AI service ingests knowledge base articles into Qdrant vectors.
- Flow AI nodes call tenant agents with RAG retrieval.
- Inbox copilot suggests replies from the same knowledge base.
Expected outcomes
60%
FAQ deflection potential
RAG
vector retrieval
1
knowledge base
Channels
WhatsAppTelegramWeb chat
Flow presets
conversational_aiconversational_enquiry
Implementation steps
- Create a tenant AI agent with your preferred LLM provider.
- Upload knowledge base articles and run embedding sync.
- Add AI nodes to Flow presets or the AI Assistant preset.
- Enable inbox copilot for agent-facing suggestions.
Sales collateral
AI that knows your business, not just the internet.
Knowledge base RAG for Flow bots and inbox copilot, on your models and your data.
- Vector RAG with Qdrant embeddings
- Custom agents per tenant and use case
- Flow AI nodes and open-ended AI Assistant preset
- Inbox copilot for human agents
Support and ops teams reducing ticket volume without sacrificing accuracy.
Related solutions
Conversations & Agent Handoff
Bots on WhatsApp, Telegram, and web chat with agent takeover, handback, tickets, and SLA timers.
View pitchContact Center
Voice IVR, agent inbox with SLA, bot handoff, and copilot assist.
View pitchReady to deploy this solution?
Open the developer console to apply presets, bind channels, and go live.