Resolve Smarter with Intelligent Case Classification

Put Accuracy in Motion with the AI Classification Agent that Redefines Support Consistency by Precisely Classifying Cases — so They Reach the Right Channel for Faster, More Reliable Resolutions. Book a Demo
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data classification

Automatic Case Classification

Instantly categorizes incoming queries into self-service, service requests, troubleshooting, product issues, feature requests, billing, or security.
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Next Best Action Prediction

Determines the most logical next step, whether to resolve with AI Support Agent, escalate to Competency Agent, or hand over to a human.
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Case & Knowledge Clustering

Categorizes cases by product or issue type, serving as input for the AI Knowledge Agent to spot knowledge gaps and create or update content in the knowledge base.
analytics and reports

Analytics & Reporting

Provides insights into case volumes, escalation trends, product gaps, and knowledge coverage, enabling faster resolutions and product improvements.
orchestration

Built-In Multi-Agent Orchestration

Works seamlessly with other AI agents, automatically redirecting cases to the right workflow for efficient resolution.
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Impact of Smarter Case Classification

01

Accelerates Case Resolution

Ensures every case reaches the right agent instantly through AI-powered classification, reducing delays and improving resolution times.

02

Drives Product Enhancements

Highlights recurring issues, feature requests, and product gaps using insights from case clustering, enabling faster product enhancements and better roadmap decisions.

03

Improves Customer Satisfaction

Assists in accurate and precise categorization, ensuring tickets are routed to the right agents for timely resolution, boosting CSAT and CX.

04

Boosts Knowledge Creation

Provides insights on case types, making it easier to figure out the case clusters and look for an opportunity for knowledge creation.

05

Ensures Proactive Support

Predicts the most effective resolution path, reducing escalations and ensuring customers receive timely, context-aware responses.

Industry Recognitions

MAJOR PLAYER

in IDC MarketScape for General-Purpose Knowledge Discovery Software, 2025

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STRONG PERFORMER

in The Forrester Wave: Knowledge Management Solutions, Q4 2024

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CHAMPION

in Enterprise Search Emotional Footprint Report, 2025

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LEADER

in G2 Grid® Report for Enterprise Search for 5 Years (2020-2025)

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GOLD MEDALIST

in Enterprise Search Data Quadrant Report: 2024, 2025

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Begin your AI Transformation

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Frequently Asked Questions

Still Need Assistance?

Intelligent case classification uses AI and machine learning to analyze and categorize support queries based on context, intent, and content. Instead of relying on manual sorting or static rules, it assigns queries in real time to categories like billing, troubleshooting, or feature requests.

SearchUnify implements this through the AI Classification Agent, part of its Agentic AI suite, which leverages NLP, clustering, and historical case data to ensure every case is accurately identified and routed to the right resolution path.

AI Classification Agent accelerates case resolution by eliminating the need for manual triaging. When a case query comes in, the agent instantly identifies its type, whether it’s a self-service query, service request, or product issue, and routes it to the right expertise.

For example, self-service queries go to the AI Support Agent, the AI Competency Agent handles service requests, and product issues are directed to a human agent. This minimizes delays, prevents misroutes, and suggests following best actions, ensuring faster resolutions, shorter customer wait times, and improved support efficiency.

Support teams often spend valuable time manually sorting incoming tickets or correcting misrouted cases. AI Classification Agent streamlines this process by automatically categorizing each query and routing it to the right expertise.

Simple or repetitive queries are handled by the AI Support Agent, service requests are managed by the AI Competency Agent, and complex issues are escalated to a human agent. By ensuring every query reaches the right destination, the AI Classification Agent helps teams resolve cases faster, stay focused, and maintain productivity without burnout.

Traditional rule-based routing relies on static, predefined conditions such as keywords, forms, or dropdown selections. In contrast, AI-driven classification analyzes the context and intent of each incoming case using machine learning and NLP. It accurately categorizes queries, learns from historical patterns, takes next best actions, and works seamlessly across multiple AI agents. This makes routing more dynamic, precise, and scalable than traditional rule-based systems.

First-contact resolution (FCR) depends on whether a case reaches the right AI agent or human expert on the first attempt. Accurate case classification ensures queries are correctly categorized and routed directly to the best-fit resource, without unnecessary handoffs. This improves the chances of resolving issues on the very first interaction, reduces escalations, boosts CSAT scores, and builds stronger customer trust.

Security & Privacy

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