AI Customer Support

Concierge

AI-first customer support across every channel.

Concierge is an AI-first customer support console that resolves customer messages using your own knowledge base and escalates the rest to your team. It runs on your database, your storage, and your choice of LLM provider, all surfaced through a real-time agent console with analytics, SLA tracking, and Slack alerts.

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Resolve routine questions with grounded answers
Escalate uncertainty to the right human
Keep support data in your infrastructure
Built for support teams, operations leaders, technical buyers
How it works

From setup to useful output

Connect the systems you already use, configure your context, and turn each workflow into a repeatable operating advantage.

01

Connect channels

Bring WhatsApp, email, social channels, and your knowledge base into one support workspace.

02

Set guardrails

Configure roles, SLAs, escalation rules, and the confidence threshold for AI resolution.

03

Resolve and route

Concierge answers grounded questions and hands uncertain conversations to your team.

04

Improve continuously

Use analytics and conversation history to reduce repeat work and strengthen service quality.

Capabilities

What Concierge does

01

AI resolution with RAG

Retrieval-augmented answers from your indexed knowledge base. Confidence-based escalation hands the conversation to a human the moment the AI is uncertain.

02

Multi-channel inbox

WhatsApp, email, and social channels via pluggable provider adapters (Gupshup and others). One inbox for every conversation.

03

Real-time agent console

Live chat, internal notes, saved replies with slash commands, park-and-resume, and Slack alerts for blocked departments. Every update streams to the console the moment it happens.

04

Role-based access

HUMAN_AGENT sees their tickets, SUPERVISOR sees their team, ADMIN sees everything. Enforced at middleware on every API call.

05

Analytics that matter

My Performance, Team Performance, Organization, and AI Resolution dashboards. Filter by period, channel, priority, and assignee.

06

Configurable SLAs

First-response, resolution, and escalation targets per priority. Automatic breach alerts to Slack or email so nothing slips.

Integrations & data sources

  • WhatsApp (Gupshup)
  • Email
  • Social channels
  • Slack alerts
  • Custom webhooks
  • Internal APIs

On the stack

  • Your own database with vector search
  • Your own cache and job queues
  • Your own object storage
  • Any LLM
  • Real-time event streaming
  • Encrypted credentials (AES-256-GCM)
MCP + API

Drive Concierge from your AI agent

Concierge is exposed through the Juniors AI MCP server, so Cursor, Claude, and any other MCP client can work with it directly. Grant a key the concierge:read scope for the read tools, or concierge:write to include the writes.

Read3 toolsconcierge:read
  • concierge_list_conversations

    Browse conversations filtered by channel, status, priority, or assignee.

  • concierge_get_conversation

    Full detail for a single conversation, including its message thread.

  • concierge_analytics_overview

    Organization-wide support analytics: volumes, resolution rates, and SLA health.

Try asking your agent

“List every open WhatsApp conversation, then summarise the three complaint themes that come up most often.”

Set up MCP

33 tools across all six products, plus a public OpenAPI spec at /api/openapi.json if you would rather call the REST API directly.

Concierge FAQ

Concierge - common questions

Concierge stores every conversation, message, attachment, and knowledge-base embedding in your own database and object storage. Juniors AI only holds the org/member metadata and the encrypted credentials needed to connect to your services.

Ready to run Concierge on your infrastructure?

See how Concierge can fit your workflow. Book a conversation or send us your use case and we will map the right rollout path.

See Concierge in action