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Loris

Loris is a conversation intelligence platform for customer support and CX teams. It automatically analyzes all customer interactions across chat, email, and...

Automatically analyze 100% of customer conversations—chat, email, and voice—to reduce costs and boost loyalty.

Replace manual QA and reactive audits with proactive, AI-driven insights on agent performance and contact drivers.

Try Loris Free

Pro fromPricing on request

Conversation AnalysisAutomated QAAI Agent AnalyticsSentiment AnalysisRoot Cause Analysis

8.6 Zekai

Automated QA & CX Insights

AI for Customer Support & Experience

Ease of Use

7.8

Accuracy

9.2

Value

8.0

Time Saving

9.4

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⚡ Quick answer

For Customer Support & CX teams, Loris is a leading AI for conversation intelligence. It excels by automatically analyzing 100% of customer interactions—chat, email, and voice—to automate quality assurance, uncover root causes of contact, and track AI agent performance. This replaces slow, manual sampling and provides a complete, objective view of the customer experience.

CategoryConversation Intelligence

Best ForAutomating QA and analyzing root cause of contact in enterprise support teams.

Price FromPricing on request

FreeNo

DifferentiatorAnalyzes 100% of interactions (chat, email, voice) and includes specific AI Agent analytics.

ProofPart of the Contentsquare platform, trusted by major enterprises for experience analytics.

Rating4.3

📖 About Loris

Loris is a conversation intelligence platform for customer support and CX teams. It automatically analyzes all customer interactions across chat, email, and voice to identify contact drivers, track agent performance, and find automation opportunities, helping you lower costs and increase customer loyalty.

Real Impact

Before & After

❌ Before

Manually reviewing <1% of agent interactions

Reactive, biased feedback

✅ After

Automated QA on 100% of conversations

Proactive, data-driven coaching

Social Proof

Trusted by professionals

Ease of Use

7.8

Accuracy

9.2

Value

8.0

Time Saving

9.4

"Automating our QA process with Loris was a game-changer. We've gone from sampling 2% of calls to having 100% coverage, and our coaching is now laser-focused on actual performance data."

James P., VP of Customer Experience · June 2026

"The AI Agent Analytics helped us finally see where our chatbot was failing. We've used the insights to improve deflection by over 15% without hurting CSAT."

Sarah T., Director of Support Operations · May 2026

"The insights are powerful, but be prepared for a significant implementation project. Getting all our data sources connected and the rules configured properly took time and dedicated resources."

David L., Head of Quality · April 2026

"Loris gives us the 'why' behind the 'what'. We can now connect a spike in support tickets directly to a friction point in the digital journey and prove the ROI of fixing it."

Maria G., Chief Customer Officer · March 2026

Connects With

Works with your existing stack

Connects with 'favorite customer service and interaction platforms', but specific integrations are not listed publicly. Contact vendor for details.

Setup complexity: Enterprise-Grade

Loris is a conversation intelligence platform for customer support and CX teams. It automatically analyzes all customer interactions across chat, email, and voice to identify contact drivers, track agent performance, and find automation opportunities, helping you lower costs and increase customer loyalty.

Who It's For

Why Customer Support & Experience choose this tool

🎯

Built for

Automating quality assurance and analyzing 100% of support interactions to proactively reduce costs, churn, and repeat contacts.

In-Depth Overview

For CX and support leaders, moving beyond reactive, sample-based quality assurance is a constant challenge. Manual reviews are slow, cover only a fraction of interactions, and are prone to bias. Loris addresses this directly by providing a conversation intelligence platform that automatically analyzes 100% of customer conversations across chat, email, and voice. Its core strength lies in three areas. First, 'Conversation Insights' moves beyond simple keyword spotting to uncover the true root causes behind customer issues and track sentiment shifts over time, enabling you to fix underlying problems and reduce repeat contacts. Second, its 'Quality Assurance' module replaces manual QA entirely, providing consistent, objective evaluation of every single conversation for policy adherence and resolution effectiveness. This allows for precise, data-driven coaching. Finally, 'AI Agent Analytics' offers a dedicated view into chatbot and AI agent performance, tracking containment, transfers, and sentiment to show where automation is succeeding and where human intervention is needed. As part of the Contentsquare suite, it offers the unique ability to connect what customers say with what they do on your digital properties.

Key Use Cases

🔬

Automate Quality Assurance at Scale

QA Director

Replace slow, manual QA reviews by automatically evaluating every agent conversation for policy adherence and resolution effectiveness.

Reduced manual review time

📈

Uncover the Root Cause of Customer Contact

CX Manager

Analyze all interactions to find out what's really driving contact volume and sentiment shifts. Use these insights to fix underlying product or process issues.

Reduced repeat contacts

🤖

Optimize AI Agent Performance

Support Ops Leader

Track AI agent containment, transfer, and abandonment rates to understand where automation is succeeding and where human support is needed.

Improved AI deflection rate

✓ Pros

Analyzes 100% of conversations, eliminating sampling bias.

Automates time-consuming manual QA processes.

Provides specific, dedicated analytics for AI agent performance.

Identifies root causes of customer contact to reduce overall volume.

Integrates with Contentsquare to link conversation data to digital behavior.

· Cons

Pricing is not transparent and requires contacting sales.

Likely requires significant implementation and integration effort.

May be too feature-rich and expensive for small support teams.

Value is dependent on the quality and volume of available conversation data.

⚡ Editorial Verdict

Loris is a powerful conversation intelligence tool that excels at automating QA and providing deep insights into contact drivers across all channels. Its integration with the broader Contentsquare platform is a major plus for holistic CX analysis. However, as an enterprise-focused tool, pricing is not public, and it may be overkill for smaller teams without a dedicated QA function.

Questions & Answers

Frequently asked questions

What channels does Loris's Conversation Intelligence analyze? +

Loris analyzes voice, chat, and email conversations to uncover drivers, sentiment, root cause, and performance across both human and AI agents.

How does Loris help with Quality Assurance (QA)? +

Loris automates QA by evaluating 100% of conversations against your policies, replacing slow, manual reviews. It provides an objective view of agent performance and links quality to business outcomes like repeat contacts.

Can Loris help me understand my AI chatbot's performance? +

Yes, the AI Agent Analytics feature tracks key metrics like containment, transfers, abandonment, and sentiment for your AI agents. This helps you see where automation is succeeding and where it needs improvement.

What kind of insights can I expect in the first few weeks? +

According to the vendor, in the first few weeks you can expect a clear view of top contact drivers and emerging issues, consistent agent assessment, and prioritized coaching opportunities based on real conversations.

How does Loris differ from the rest of the Contentsquare platform? +

Contentsquare shows *what* users do on your website or app. Loris adds *why* they contact support by analyzing what they say, connecting digital behavior with conversation data for a complete CX picture.

Is Loris suitable for small teams? +

Loris is an enterprise-focused platform. While it offers powerful capabilities, smaller teams may find the feature set and likely cost structure to be more than they require. It is best to request a demo to assess the fit for your team's specific needs.

Last reviewed: Reviewed June 2026 — Assessed core capabilities for conversation analysis, QA automation, and AI agent analytics.

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