Level AI

Level AI

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Level AI is a contact center intelligence platform that uses generative AI to score 100% of customer conversations, automate QA, and surface real-time agent coaching insights.

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Level AI
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📋 About Level AI

Level AI is an enterprise-grade contact center AI platform that analyzes every customer interaction — voice calls, chats, and emails — to automate quality assurance, surface coaching opportunities, and deliver actionable insights to operations leaders. The level ai platform uses large language models and proprietary semantic intelligence to understand conversations at a nuanced level, going beyond keyword spotting to detect intent, sentiment, compliance risk, and agent effectiveness. Unlike traditional QA sampling that reviews 1 to 3 percent of calls, Level AI scores 100 percent of conversations automatically and consistently.

Key Features of Level AI

1

100% Automated Call Scoring

Level AI evaluates every voice call, chat, and email against customizable scorecards, eliminating the sampling gaps inherent in manual QA. The level ai engine scores for compliance, soft skills, resolution quality, and process adherence consistently across agents and teams. Supervisors see fully explainable evaluations with specific conversation moments cited for each score. This replaces weeks of manual scoring with instant, bias-free coverage.

2

Semantic Intelligence for Conversations

Beyond keyword spotting, Level AI's proprietary semantic intelligence understands meaning, context, and intent across conversations in multiple languages. The ai contact center platform distinguishes between a customer asking about cancellation out of frustration versus routine inquiry, enabling more accurate routing, escalation, and coaching. This contextual understanding is what separates Level AI from older speech analytics tools that rely on brittle keyword rules.

3

Real-Time Agent Assist

During live calls, Level AI surfaces the right knowledge base article, suggested response, or compliance prompt based on what the customer is saying and asking. Agents reduce hold times, avoid compliance missteps, and handle complex calls with the confidence of having a senior colleague listening alongside. The assist panel updates continuously as the conversation evolves and integrates with existing knowledge bases.

4

Automated Coaching and Feedback

Level AI generates personalized coaching insights for each agent based on patterns across their scored interactions — highlighting strengths, development areas, and specific call moments worth reviewing. Supervisors save hours per week on coaching prep and deliver more data-driven feedback. The platform tracks coaching outcomes over time so managers see whether interventions actually change agent behavior.

5

Voice of Customer Analytics

The platform aggregates conversation data into dashboards that show trending customer issues, root causes of escalations, and sentiment shifts across product lines or campaigns. Operations and product leaders get early warning on emerging problems — a faulty feature, a confusing policy change, a rising compliance risk — before they become widespread. Custom alerts notify stakeholders when specific issue categories spike.

6

CCaaS and CRM Integrations

Level AI integrates natively with Five9, Genesys, Amazon Connect, Talkdesk, NICE CXone, Zendesk, Salesforce Service Cloud, and other major contact center and CRM platforms. This means implementation does not require replacing existing voice or ticketing infrastructure — the ai contact center layer sits alongside current tools. Pre-built connectors typically deploy in days, not months.

7

Compliance and Risk Monitoring

Level AI automatically flags compliance violations — missed disclosures, unauthorized promises, sensitive data handling errors — across every conversation, not just sampled ones. Legal, risk, and compliance teams gain near-complete visibility into agent behavior and can act quickly on systemic issues. The platform supports industry-specific compliance frameworks for healthcare (HIPAA), financial services, and debt collection.

🎯 Use Cases for Level AI

Automate 100% of call scoring and QA across a contact center so supervisors spend time on coaching rather than manual scorecard completion. The level ai platform eliminates sampling bias by evaluating every conversation consistently against customizable scorecards with full audit trails. BPOs and enterprise operations teams typically cut manual QA effort by 80% or more while increasing coverage from 1-3% of calls to 100%. Deliver real-time agent assist during live calls by surfacing knowledge base articles, suggested scripts, and compliance prompts based on what the customer is saying. Agents handle complex issues more confidently, reducing average handle time and improving first-call resolution. This is particularly valuable for new-hire onboarding and for teams dealing with complex policy-heavy products. Generate personalized coaching plans for each agent based on patterns across their scored conversations rather than anecdotal supervisor impressions. Level AI highlights strengths, development gaps, and specific call moments supervisors should review with the agent. Operations leaders use this to drive consistent coaching quality across teams and geographies. Monitor compliance risk continuously across all voice and chat interactions, flagging missed disclosures, unauthorized promises, or sensitive data handling errors in near real time. Legal and risk teams gain complete visibility instead of relying on small random samples. Healthcare, financial services, and collections organizations use this to reduce regulatory exposure. Aggregate conversation data into voice-of-customer dashboards that show trending issues, escalation root causes, and sentiment patterns by product, region, or campaign. Operations, product, and marketing leaders act on customer insights that would otherwise stay buried in individual call recordings. This accelerates response to emerging problems before they become widespread. Deploy conversation intelligence without replacing existing CCaaS or CRM infrastructure by connecting Level AI to Five9, Genesys, Zendesk, Salesforce, or similar platforms through pre-built integrations. Contact center leaders modernize QA and analytics incrementally rather than through disruptive platform migrations.

⚖️ Level AI Pros & Cons

Advantages

  • Scores 100% of conversations automatically with explainable AI
  • Pre-built integrations with all major CCaaS and CRM platforms
  • Real-time agent assist measurably improves live-call outcomes
  • Strong compliance monitoring for regulated industries
  • Reduces manual QA effort by 80% or more

Drawbacks

  • Enterprise pricing not accessible for small contact centers
  • Implementation requires change management for QA teams
  • Scorecard customization has a learning curve
  • Best value realized at scale (typically 50+ agents)

📖 How to Use Level AI

1

Visit thelevel.ai and request a demo or contact sales to scope implementation for your contact center.

2

Connect Level AI to your existing CCaaS platform (Five9, Genesys, Amazon Connect) through pre-built integrations.

3

Configure scorecards that reflect your QA criteria — compliance, soft skills, resolution quality, process adherence.

4

Let the level ai engine score every conversation and surface insights in supervisor and agent dashboards.

5

Enable real-time agent assist to surface knowledge articles and compliance prompts during live calls.

6

Review aggregated voice-of-customer insights to identify trending issues and opportunities for operational improvement.

Level AI FAQ

Level AI is a contact center intelligence platform that uses generative and semantic AI to score 100% of customer interactions, automate QA, provide real-time agent assist, and surface voice-of-customer analytics for operations leaders.

Level AI offers pre-built integrations with major CCaaS and CRM platforms including Five9, Genesys, Amazon Connect, Talkdesk, NICE CXone, Zendesk, and Salesforce Service Cloud. This means the ai contact center layer sits on top of existing infrastructure without requiring replacement.

Level AI is an enterprise-priced platform with custom quotes based on agent count, call volume, and feature set. Pricing is typically per-agent per-month and is negotiated during the sales process.

Level AI is designed primarily for mid-market and enterprise contact centers (typically 50+ agents) where the ROI on automated QA and analytics is strongest. Smaller operations may find the pricing and implementation effort disproportionate to their scale.

Level AI is used across BPOs, healthcare, financial services, insurance, retail, and technology contact centers. The platform supports industry-specific compliance frameworks including HIPAA and financial services regulations.

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