What it is

A drop-in conversational AI for customer support — trained on your knowledge base, your tickets, and your runbooks. It answers in your brand voice with verifiable citations. When it can't help, it hands off to a human seamlessly with full context.

Most chatbot vendors sell intent-based flows that break the moment a customer asks something the flow didn't anticipate. The AI Support Copilot is different — it understands the question, retrieves the most relevant grounded knowledge, and answers with citations the user can verify. Where it's uncertain, it asks for clarification or escalates.

What you get

RAG over your knowledge

Ingest docs, articles, ticket history, runbooks. Vector search + lexical hybrid. Updates daily without re-training.

Citations on every answer

Each response shows the source document, version, and exact passage cited. Click to read the original.

Multi-channel deployment

Embed widget, WhatsApp, Slack, Microsoft Teams, email auto-reply, voice IVR — same brain, every surface.

Human handoff with context

Routes to your existing helpdesk (Zendesk, Freshdesk, Intercom, ServiceNow) with full transcript and confidence.

Guardrails & safety

Input filters, output validation, jailbreak resistance, PII redaction, configurable refuse-list. SOC 2-aligned.

Eval & observability

Built-in eval harness, deflection metrics, satisfaction scores, conversation replay, model-routing analytics.

Multilingual

30+ languages out of the box including Hindi, Arabic, Tamil, and code-switching support.

White-label branding

Your colours, your fonts, your voice, your domain. No "Powered by XRDA3" footer unless you want it.

How it's built

LLM CoreGPT-4o-class · Claude 4.6 · or self-hosted Llama 3.3

RetrievalPinecone · Weaviate · pgvector

OrchestrationLangGraph · LlamaIndex

FrontendReact · embeddable Web Component

BackendFastAPI · Node.js

HostingAWS · Azure · GCP · on-prem

Helpdesk IntegrationsZendesk · Freshdesk · Intercom · ServiceNow · HubSpot

ComplianceSOC 2 · GDPR · HIPAA-ready

Request a demo

Tell us a bit about your operation and we’ll set up a tailored walkthrough within 24 hours. Pricing is shared on the call once we understand your scale and modules required.

Common questions

How long does deployment really take?

A clean deployment with one knowledge source, one channel, and a basic brand skin: 2-3 weeks. Multi-channel with 5+ helpdesk integrations and custom guardrails: 4-6 weeks. Everything is shipped iteratively — you'll see working bot in week 1.

What if our knowledge base changes constantly?

Continuous ingestion is built-in. Connect to Notion, Confluence, Google Drive, Sharepoint, your CMS, or scheduled CSV/JSON drops. Index updates within 30 minutes of source change. No manual re-training.

Can we choose our own LLM?

Yes — Pro and Enterprise tiers route between OpenAI, Anthropic, Mistral, or self-hosted Llama 3.3 / Mixtral. Per-route policies for cost vs. quality. Default routes balance based on query complexity.

How do you prevent hallucinations?

Three layers: (1) RAG grounds every answer in retrieved context — answers without sufficient retrieval are refused; (2) output validation against domain schemas where applicable; (3) confidence scoring exposed to the UI so customers see uncertainty. We've yet to see a production hallucination on Pro deployments past month two.

What about on-premises / air-gapped?

Enterprise tier supports fully self-hosted deployment with self-hosted Llama 3.3 / Mixtral, on-premises vector DB, and zero outbound network calls. Required for regulated banking and defence clients.

See it run on your data

Send us your knowledge base sample and we'll set up a private demo within 48 hours — using your real content, your real tickets.

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