aminobots assist · standalone product

customer ops across every channel.

Multi-channel ops agent across WhatsApp, voice, web, email, and Slack. Identifier · Support · Expert · HIL routing. T0 rules pre-filter strips half the traffic before any LLM call.

01 · capabilities
what's inside
  • Multi-channelWhatsApp Business · voice (IVR + TTS) · web chat · email · Slack — one conversation across channels.
  • 4-agent routingIdentifier classifies. Support resolves L1. Expert handles edge cases. HIL escalates only when needed.
  • T0 pre-filterRule-based deflection layer handles ~50% of traffic at $0 LLM cost.
  • Tiered LLM routingT1 self-hosted OSS for 80% · T2 mid-cloud for 15% · T3 frontier for 5%.
  • PII redaction pre-LLMAadhaar, PAN, mobile, account numbers stripped before any model call.
  • CRM / ITSM connectorsFreshdesk, Zendesk, ServiceNow, HubSpot, Salesforce. Bidirectional.
  • Immutable audit trailEvery external call, model invocation, human decision written to WORM store. DPDP-compliant.
02 · architecture
channels in. agents in the middle. systems out.

Inbound channels feed an intent + sentiment router. Routes hit the multi-agent core (Identifier → Support → Expert → HIL). Tools layer reaches your CRM, ITSM, FAQ knowledge base. Outbound delivery fans across SMS, push, email, voice callback, webhook.

whatsapp · voice · web · email · slack
  ↓
identifier (intent + sentiment)
  ↓
support → expert → hil
  ↓
crm · itsm · knowledge · webhooks
03 · lighthouse
live in production
support

TRACE @ GyanDhan

Multi-agent system handling partner ops across 1,559 active WhatsApp groups. Ops load went from 2.5 hours per day to 15 minutes per day. Read the case →

99%+
automation
$0.02
per query
50%
pre-LLM filter
ready to evaluate

start with a diagnose.

Two to three weeks. Five to ten lakh. A written scorecard with topology recommendation, cost ranges, and remediation plan. No commitment to build.

request diagnose
DPDP-ready by design AWS · Azure · GCP blueprint · patent pending India residency · on-prem option