Level AI Contact Center Analytics

Level AI Contact Center Analytics is a cross-channel analytics platform for teams that need to connect conversation data with quality, customer feedback, and operational results. It is most suitable for established contact centers with dedicated operations, quality, product, or compliance staff. The main trade-off is a broad, enterprise-oriented feature set sold through custom pricing rather than a self-serve plan.

Overview

The platform analyzes calls, chats, and emails together with QA scores, customer feedback, and performance measures. It is designed to expose agent and team performance, call drivers, trends, customer satisfaction, and other contact-center KPIs in one reporting environment. That unified model is useful when separate speech, QA, and survey systems make it difficult to connect an interaction to its outcome.

Level AI describes its audience as enterprise customer-experience teams and supports reporting for contact-center leaders, operations, product teams, and compliance stakeholders. Its API can move contact-center data between systems and connect with business-intelligence tools, while integrations include Five9, Amazon Connect, Talkdesk, Genesys, Salesforce, Zendesk, Snowflake, and Microsoft Teams.

Key features

Reports, dashboards, and metrics

Custom reports provide filters, agent or team groupings, performance comparisons, KPI tracking, and historical trends. Prebuilt dashboards focus on QA Performance, Coaching, Auditor Performance, Voice of the Customer, and Conversation Insights. Tracked measures include QA Score, InstaScore, iCSAT, sentiment, customer effort, resolution status, NPS, CSAT, average handle time, and first-contact resolution. This range gives operations and quality teams several ways to investigate performance, though buyers should confirm that the metric definitions match their existing scorecards.

AI analysis and action

AI Workers let non-technical users ask questions about contact-center data in natural language. Threshold-based alerts can notify people or trigger AI Workers, and reports can be scheduled for automatic sharing at customized intervals. The product also includes real-time guidance, suggested replies, knowledge retrieval, conversation summaries, next-best actions, real-time monitoring, speech analytics, sentiment analysis, and quality scorecards. These capabilities make it more than a historical dashboard, but teams should assess governance for automated responses and alerts during procurement.

Access, exports, and protection

PDF dashboard exports support offline distribution. Role-based permissions can give agents access to their own results, managers and evaluators access to team data, and administrators organization-wide visibility. Level AI says names, card numbers, and Social Security numbers are redacted before AI processing. It states that customer data is not used to train shared models and that AI subprocessors are contractually barred from training use. Data is encrypted with AES-256 at rest and TLS 1.2 or higher in transit. Listed compliance credentials include ISO 27001, SOC 2 Type II, HIPAA, PCI DSS, HITRUST CSF, and GDPR, with audit documents in its Trust Center.

Pricing

The Level AI Contact Center Analytics plan uses custom pricing; buyers must request a price or schedule a demo. There is no published free tier, trial term, seat allowance, or usage quota. That approach can accommodate enterprise scope but makes budget comparison impossible without a sales conversation. The service agreement specifies 99.9% uptime for the Standard Platform and 99.95% for the Enterprise Platform, so contract discussions should establish which service level applies.

Platforms

Level AI Contact Center Analytics is offered through web and API access. The API is the relevant route for organizations that need to feed analytics into business-intelligence or other operational systems.

Who it's for

This is a strong candidate for contact-center leaders and operations teams consolidating calls, chats, and emails with QA and customer metrics. Product teams can use conversation trends and call drivers, while compliance stakeholders benefit from role controls, redaction, encryption, and compliance documentation. Smaller teams wanting transparent pricing or a lightweight standalone tool should look elsewhere.

Pros and cons

• Pro: Omnichannel analysis combines conversations, QA, feedback, and performance data instead of isolating each source.
• Pro: Custom reports, specialist dashboards, natural-language AI Workers, scheduled reports, and threshold alerts support both routine oversight and deeper investigation.
• Pro: Role-based access, sensitive-data redaction, encryption, and a broad compliance portfolio address regulated deployments.
• Con: Custom pricing and no published trial, free plan, seats, or quotas make initial cost and scope difficult to judge.
• Con: The product is positioned for enterprise teams, so organizations without established reporting operations may find its breadth and procurement process excessive.

Alternatives

Convin is the better starting point for buyers wanting a free plan, free trial, and Android or iOS access alongside web support; its free Quality Management plan centers on manual QA, audit templates, automated workflows, and reporting. Choose Feelingstream when API, macOS, self-hosted, or Windows deployment matters. SESTEK Text-to-Speech suits teams seeking business licensing through pay-as-you-go or subscription arrangements, although prices are quoted. AmplifAI Quality Assurance is an option for API, self-hosted, or web deployments. CallMiner Eureka uses quotes based on users or interaction volume, modules, integrations, and deployment needs. MaxContact Auto QA is priced around conversation volume with customized contracts. QEval is quoted per deployment. Xdroid Customer Interaction Intelligence Platform requires a demo and has a stated minimum of 25 agents.

For category browsing, compare Call Center Speech Analytics Software, Contact Center Analytics Software, Agent Assist Software, Customer Experience Analytics Software, Customer Interaction Analytics Software, and Speech Analytics Software.

Verdict

Choose Level AI Contact Center Analytics if your organization needs one governed system for omnichannel conversation analysis, QA, customer outcomes, and operational reporting, with API connectivity and enterprise security controls. Look elsewhere if transparent pricing, a self-serve trial, or a smaller deployment is more important than its extensive analytics and access model.