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Next-Gen Architecture

No Support Teams.
Just AI Agents.

Forget manual triage and routing rules. In the Kognit HQ model, autonomous AI Agents decide, act, and explain their reasoning. Humans are supervisors, not executors.

The AI-First Decision Lifecycle

Every action is autonomous, explainable, and logged.

Phase 0

AI Event Ingestion

All incoming messages are processed by an AI ingestion agent. It normalizes all channels into a structured payload, deduplicates using intelligent matching (not just IDs), and enriches with order data and behavioral signals.

Phase 1

AI Decision Engine

Instead of “create or merge”, an AI decides: Is this a new issue? Part of an existing conversation? Should it be grouped with other signals? Decisions are contextual, not rule-based.

Phase 2

Understanding Layer

Multi-layer intelligence performs intent detection, sentiment scoring, entity extraction, and urgency prediction. Every classification includes an explicit explanation.

Phase 3

AI Agent Assignment

No more support "teams". Tickets are dynamically routed to specialized AI Agents (Refund Agent, Order Agent, Product Expert) based on their specific capabilities and the issue context.

Phase 4

SLA Intelligence

Static timers are dead. The AI dynamically predicts response urgency, resolution complexity, and risk of customer churn to prioritize the queue in real-time.

Phase 5

AI Pre-Resolution

Before any human involvement: AI drafts a reply, fetches internal data, and decides the best action. In most standard cases, the AI resolves the issue instantly without human touch.

Phase 6

Human-in-the-Loop

Humans don’t “handle tickets”. They act as supervisors. They approve, override, or guide the AI. Every suggestion includes a detailed reasoning panel with confidence scores.

Phase 7

AI Action Engine

Agents don’t just reply—they act. They trigger refunds, send tracking links, update order statuses in Shopify, or escalate complex edge cases autonomously.

Phase 8

AI Resolution

The AI decides closure when appropriate. It automatically adds a structured resolution note, categorizes the outcome, and explains the decision for the permanent audit log.

Phase 9

Feedback Loop

The system automatically sends a CSAT survey, interprets the semantic meaning of the text response (not just the score), and immediately updates the agent's behavior.

Phase 10

Continuous Intelligence

Every single ticket improves the system. Agent decision accuracy, response quality, and autonomous resolution coverage continuously increase over time.

Stop routing.
Start resolving.

Turn your support inbox into an autonomous AI engine.