Customer support overview
Real-time support

Live Chat

Live chat brings fast answers to the moment of need—wired into the same customer record so every session starts informed.

Outcome: Higher CSAT and lower handle time without sacrificing accuracy.

Customer support

The real-time support layer for fast, informed customer help

Live Chat turns urgent customer moments, routing logic, and support context into a real-time service channel. It gives Kora the structure required to help teams respond quickly, stay accurate, and escalate cleanly when live help is not enough.

Faster answers · informed agents · lower handle time

Why teams use it

Time saved

Reduce lookup time by giving agents customer context, routing cues, and answer paths inside the chat moment itself.

Pain solved

Avoid slow live responses, repeated customer explanations, and channel switching that breaks trust mid-conversation.

Business impact

Improve CSAT and handle time by helping agents answer faster without losing accuracy or account awareness.

Service edge

Turn chat from a generic contact widget into a context-aware support surface tied to the full customer record.

Module 16

Where live chat fits the support motion

Live chat sits at the moment of need. It is the fast-response layer between customer questions and the deeper support systems that hold history, ownership, and resolution accountability.

SpeedContextRoutingContinuity

Inputs

Entry point, customer intent, CRM context, staffing rules, and queue availability.

Outputs

Faster answers, better routing, cleaner chat-to-ticket escalation, and stronger service visibility.

Live service preview

A real-time support surface with routing, queue awareness, and customer history in view.

16

Immediate

Customer help starts in the moment of need

Informed

Account and history are visible before the first reply

Escalable

Chats convert cleanly into deeper workflows when needed

Two layers, one live service channel

Live chat combines immediate conversation handling with structured service operations, so speed does not come at the cost of continuity.

Real-time support layer

  • Deployment surfaces - place chat where support moments actually happen across your web and product journey
  • Routing logic - send conversations based on intent, customer segment, time window, and urgency
  • Macros and guided paths - help agents move faster on common requests without improvising every answer
  • Conversation continuity - preserve the thread when the issue becomes a ticket or needs escalation
  • Presence and queue visibility - see availability, response time, and load while work is happening

Service control layer

  • -CRM-aware responses - account history and relationship context appear before the agent replies
  • -SLA sensitivity - support obligations remain visible even in fast-moving live channels
  • -Escalation trigger logic - identify when chat should become a structured ticket or specialist handoff
  • -Quality control - track response speed, resolution confidence, and customer friction in one flow
  • -Session learning - repeated intents and unresolved questions become signal for process improvement

Wait time

Chat quality

Routing fit

How it looks in the product

A real-time workspace for active support sessions, routing context, and Kora-assisted guidance, with customer context and escalation readiness visible throughout.

Live Chat

Queue

Agent

Intent

Context

Replies

Macros

Escalate

CSAT

Recommended next response

Tickets stay downstream

Live Chat manages real-time support execution. When the issue needs deeper tracking, ownership, or SLA enforcement, the Ticket System becomes the accountable workflow layer.

Open Ticket System

Escalate live issues into structured queues with ownership, backlog visibility, and SLA accountability.

Ticket System

Workflows

01 - Live support setup

  1. 1Deploy chat entry points - choose where support conversations should begin and who they serve
  2. 2Set routing and schedule rules - align availability, queue ownership, and escalation windows
  3. 3Load macros and response paths - prepare agents for common requests without flattening nuance
  4. 4Connect CRM and support context - expose customer history before the first reply goes out
  5. 5Monitor wait time and quality - watch speed, customer sentiment, and handoff frequency in real time
  6. 6Escalate when necessary - move chats into tickets or specialist support without losing continuity
  7. 7Refine the operation - improve routing, staffing, and playbooks from observed live behavior

02 - Queue management

Monitor volume, wait time, and quality in real time so staffing and routing can adapt before customers feel the delay.

03 - Escalation control

Promote chats into structured follow-up only when needed, while preserving the full conversation and customer state.

Kora AI on your live service

Live chat sessions are not just message streams. They are structured signal for routing quality, response speed, and repeat support demand.

Conversation context

Kora brings customer history and account context into the chat workspace before the agent answers.

Routing support

Guide chat assignment using urgency, customer value, intent, and available specialist coverage.

Answer acceleration

Help agents move faster with relevant paths, prior context, and reusable response structures.

Escalation awareness

Flag when a live conversation should become a ticket, escalation, or broader customer-risk event.

Quality insight

Surface repeat requests, long-handling patterns, and low-confidence outcomes for operational review.

Channel memory

Turn live chat sessions into durable context instead of isolated, hard-to-reuse support moments.

Where live chat connects

One real-time service layer serves multiple support workflows. Data flows from customers and CRM context, then flows to ticketing, staffing, and operational learning.

  • Support CRMChat sessions enrich the customer record instead of staying trapped in a separate channel
  • Ticket systemEscalated conversations move into accountable workflows with the full thread preserved
  • Kora BrainReal-time service patterns become operational signal for staffing, quality, and product insight
  • Support leadershipWait time, volume, and routing quality feed better staffing and service decisions

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