Level AI blog

AI Workers are specialized agents for customer centric teams. From building coaching plans, to search and analysis across millions of customer conversations, to running multi-step research for board-ready analysis, each AI Worker runs on shared customer intelligence and produces a defined deliverable in seconds.

Level AI shipped 8 major Q1 releases to bring accountability to CX. Discover new AutoQA logic to evaluate complex agent sequences, VA Pulse for bot failure scoring, and AutoEval for 90% faster rubric accuracy testing. Download the full list.

Discover how Level AI uses a parallel multi-modal architecture for AI voice agents to deliver near-zero latency, higher reliability, modular scalability, and human-quality customer experiences for enterprise contact centers.

We tested 8 best AI voice agents in healthcare including Level AI, Hippocratic AI, Cognigy, and more. Compare features, use cases, and how to choose.

Best practices for call center monitoring: 1. Track customer KPIs 2. Monitor every level 3. Combine metrics with feedback 4. Use AI 5. Unify reporting silos.

Best AI tools for customer support: 1. Level AI 2. Intercom Fin 3. Zendesk AI 4. Freshdesk 5. Gorgias 6. Help Scout 7. Tidio. Compare features and use cases.

Fragmented AI vendor management creates blind spots in QA and compliance. See why a unified AI powered chatbot platform is the smarter enterprise approach.

How AI in customer experience actually works in contact centers: 7 proven ways to improve QA, agent performance, and customer satisfaction at scale.

Your AI agent evaluation isn't catching tool call errors, guardrail breaches, or goal failures. Discover the 4 production failure types QA reports never flag.

Read how Automatic Speech Recognition (ASR) works, its types, training methods, applications, and challenges. A complete guide to speech-to-text AI technology.

AI agents can contain a call and still fail the customer. Read why outcome metrics miss critical errors and how top teams score 100% of AI conversations automatically.

AI implementation in healthcare doesn’t need 12 months. Use a pilot-first AI deployment with HIPAA compliant AI tools to go live in weeks and scale safely

best conversation intelligence tool are 1. LevelAI 2. ObserveAI 3. Qualtrics 4. Dialpad 5. Sprinklr 6. Gong 7. Invoca 8. Avoma

Explore how voice authentication is a crucial step for identity verification and security for enterprise CX teams dealing with modern fraud risks.

Meet Level AI at Reuters CX West, AI Hot 100, Forrester CX Forum, CCW Las Vegas, and exclusive CX dinners in NYC and Charlotte — April through June 2026.

Poor contact center automation happens when your healthcare chatbot and human agents don't share intelligence. Learn how to unify them and cut costs.

Level AI names Rob Dwyer as CX Executive in Residence to connect enterprise CX insights with product innovation and AI strategy.

The risks of AI in healthcare go beyond bad demos. Learn how purpose-built AI handles escalations, authentication, and EHR integration right.

46% of banking AI projects never make it past the pilot stage. Learn how credit unions and regional banks can use data-driven workflow discovery to move from proof-of-concept to live production in weeks, not months.

Discover the top benefits of AI virtual agents for enterprise teams, including real use cases, ROI impact, and how they improve customer support.

Meet the 2026 CX Heroes, nine leaders from Smartsheet, Wayfair, Dick's Sporting Goods, and more who are transforming customer experience with AI from the inside out.

Most companies are deploying AI in their contact center and seeing little return. Learn why fragmented AI stacks fail, how voice of the customer becomes a strategic asset, and what separates high-ROI deployments from expensive experiments, from a conversation with Level AI's Ashish Nagar on the CX Pod.

Compare contact center software features, pricing, and vendors. Use this buyer’s guide to choose the best platform for your business.

Compare the best AI voice agents for CX in 2026. See why Level AI outperforms with unified QA, analytics, and continuous learning built in.

Compare chatbots vs virtual agents across AI capabilities, use cases, and business impact to choose the right CX automation solution.

Learn how modern healthcare contact center can reduce costs, automate routine patient calls, and improve efficiency with AI workflows and smarter call routing.

AI in banking must do more than sound natural. Learn why credit unions and regional banks need deterministic guardrails, operational control, and compliant virtual agent architecture to prevent hallucinations, enforce policy, protect member trust, and scale AI safely across member service

Credit unions are investing heavily in AI, yet member satisfaction is declining. This report breaks down six key trends reshaping member experience—from strategy gaps and rising digital expectations to transactional AI, predictive service, and widening cost advantages—revealing how leading institutions are using unified, data-driven AI to deliver faster, smarter, and more personalized member interactions.

Read-only chatbots are increasing costs for credit unions and regional banks by failing to resolve member requests. Learn how resolution-first virtual agents with transactional capabilities, real-time core integrations, and secure authentication reduce AHT, improve first contact resolution, and deliver scalable, cost-efficient member service

Routing-based automation is silently increasing costs for credit unions and regional banks. Learn how fragmented CX stacks drive higher AHT, erode member trust, and burden agents—and how resolution-first virtual agents with real-time actions, unified context, and human-AI collaboration reduce friction, improve first contact resolution, and deliver scalable, human-quality member experiences.

Compare top-performing AI agents for customer service and learn how to choose a solution that can transform your voice and chat support capabilities.

See AI agent examples of handling customer inquiries, assisting live reps, scoring quality interactions, and generating insights in contact centers.

Learn what CXA actually does, how it differs from chatbots, what problems it solves for contact centers, and how to evaluate platforms for enterprise operations.

77% of CX leaders are under pressure to deploy AI—but most hit robotic lag, context loss, and stalled pilots. This virtual agent playbook outlines 7 strategic and technical questions to help enterprises identify the right workflows, reduce latency, integrate with CCaaS systems, prevent hallucinations, and build human-quality automation powered by a unified intelligence loop.

Virtual agents now handle authentication, transactions, and sensitive data—making security non-negotiable. Learn how Level AI defends against prompt injection, PII leakage, and unauthorized tool invocation using multi-layer guardrails, adversarial simulation, and real-time supervisory models to keep enterprise virtual agents secure, resilient, and production-ready.

Every month without a closed learning loop compounds AI loss. Discover how fragmented CX stacks create intelligence decay—and how Level AI’s unified automation, QA, and observability platform turns every human interaction into a training signal that accelerates retraining, increases automation rates, and builds compounding AI performance.

Assembled partners with Level AI to deliver modern workforce engagement management

Voice AI doesn’t have to take a year. Learn how Level AI’s unified CX stack uses Automatic Workflow Discovery to mine real conversation data, identify high-value automation flows, and deploy deep, API-driven voice agents faster—without sacrificing CSAT. Move from insights to production-grade voice automation in weeks, not seasons.

Why do some CX teams scale AI automation to 70% of contact volume while others stay stuck in pilots? Learn how fragmented CX stacks create data silos that limit automation—and how unified, full-stack Agentic AI architecture enables continuous learning, human-grade quality, and scalable customer experience transformation.

Level AI stands as a Pioneer in the CMP Research Prism for both Quality Assurance and Customer Analytics

Most enterprises run human QA and AI automation in silos—creating an Intelligence Gap that breaks CX. Learn why fragmented stacks lead to lost context, weak governance, and inconsistent quality, and how Level AI’s unified Agentic AI platform connects human insights, virtual agents, and QA into a single intelligence layer for human-quality customer experiences.

As virtual agents become more autonomous, observability becomes critical. Learn why non-deterministic AI creates blind spots—and how Level AI’s Debug View delivers end-to-end visibility into intents, tool calls, knowledge retrieval, and latency to turn black-box virtual agents into transparent, debuggable, and trustworthy CX systems.

Traditional QA breaks for AI systems. Learn why non-determinism, hallucinations, adversarial users, and real-world noise demand a new approach—and how Level AI’s Automated Evals framework uses scenario generation, high-fidelity simulation, and LLM-based evaluation to validate virtual agents before production.

In real-time CX, milliseconds decide trust. Learn why voice AI breaks when built on third-party transcription, and how owning the speech layer enables low-latency understanding, consistent intelligence, and human-quality voice experiences at enterprise scale. Discover why unified, purpose-built Voice AI architecture is the only way to win the microsecond war.

Why do Small Language Models outperform large LLMs in enterprise CX? Learn how Level AI’s domain-specific SLMs deliver faster, cheaper, and more reliable customer service AI by embedding task intelligence directly into the model—reducing latency, lowering costs, improving accuracy, and ensuring privacy at scale.

High-performance voice agents aren’t built on demos—they’re built on owned architecture. Learn why owning the AI voice stack across SIP, VAD, STT, LLM orchestration, and TTS is essential to achieving low latency, natural turn-taking, observability, and reliability in real contact-center environments—and how Level AI’s full-stack approach enables human-quality voice AI at scale.

Most enterprise AI fails because it’s rented, fragmented, and ungovernable. Learn why siloed CX AI is a problem and how Level AI’s full-stack architecture, proprietary SLMs, owned compute, and unified One AI platform deliver low-latency, secure, and continuously improving customer experiences at scale.

Learn how Level AI moves beyond keyword-based chatbots to deliver accurate, conversational answers at scale. Explore our Retrieval-Augmented Generation (RAG), vector-based knowledge management, conversational diagnosis, and automated evaluation framework that powers >90% response accuracy across chat and voice—reducing support costs and enabling autonomous CX resolution.

Discover how engineered low latency transforms virtual agents into human-quality conversational partners. Learn how Level AI eliminates delays across telephony, transcription, LLM processing, and TTS to maintain sub-2-second responses. Explore our unified AI architecture, specialized SLMs, parallel processing, and optimized retrieval systems that reduce latency, build user trust, and deliver seamless CX automation at scale.

A complete guide to voicebot customer service: features, use cases, comparisons, and real-world performance insights.

What makes a great call center agent performance scorecard? Explore best practices and how to overcome common scorecard challenges.

Learn how AI agents are reshaping CX operations. This guide breaks down the human readiness work—new division of labor, data standards, evolving roles, AI-era metrics, and human review loops—to future-proof your organization for LLM-driven workflows.

Explore 6 real-world use cases for an AI virtual agent in customer experience. See how top CX teams apply AI to scale service.

Discover why AI agent success isn’t about prompts — it’s about mental models, structured reasoning, and clear decision flows that scale customer experience.

Explore the leading customer support quality assurance tools, featuring automation, real-time insights, and deep performance analytics.

Discover the top insights from LevelUp CX Summit 2025, including why high-speed CX, unified intelligence, real-time VOC, and modern QA are reshaping how enterprises operate in 2026.

Discover how AI agents are transforming the modern CX workforce — from agents and QA to coaching, product, ops, and analytics. Learn why automation isn’t replacing humans but redefining roles, elevating complexity, and reshaping workforce design for the Agentic AI era. Stay tuned for insights on building clearer-thinking AI agents and preparing teams for this shift.

A detailed look at how CX organizations operationalize AI beyond pilots. Covers governance frameworks, data discipline, automation coverage, escalation integrity, and the human-AI learning loop. Ideal for teams designing scalable, future-proof AI systems for customer experience.

With VoC 2.0, Level AI brings together seamless and unified customer insights, instant AI-driven discovery, and deeper and faster insights generation under one roof. Our technology does not just tell teams what happened; it helps them understand why it happened and what to do next. By bringing every piece of the customer experience into a single ecosystem, Level AI enables organizations to move from data to action with unprecedented speed and confidence.

AT&T’s Deepak Sharma shares how AI, data, and modern CX platforms power seamless omnichannel experiences across retail and contact centers.

Discover how Notion’s Global Head of Customer Experience, Emma Auscher, is redefining digital CX through “everyday luxury.” Learn how her team blends AI and human empathy to serve millions globally, turning support into a growth engine and proactive experience enhancer. Key lessons for CX leaders on AI-driven personalization, knowledge management, and building trust at scale.

Learn proven call center coaching strategies that top contact centers use to deliver consistent feedback, support agent growth, and improve customer experience.

Explore top call center quality assurance software options. Compare features, pricing, and capabilities to improve customer support quality.

We reviewed the 7 best chatbots for customer service in the industry. See which AI-powered tools deliver fast, reliable support for your customers.

From benefits to real examples, learn how to deliver a chatbot customer experience that delights users and boosts the efficiency of your contact center.

From real-time insights to automated QA, discover everything you need to know about AI call analytics and how to evaluate leading solutions.

Discover how speech-to-text transcription works. Learn the 5 pillars of ASR and how Level AI’s Orba delivers accurate, real-time contact center transcripts.

Compare the best sentiment analysis tools, from real-time voice analytics to social media insights, sorted by use case in customer support and marketing.

Find the right call center performance management software with our top 7 picks, covering coaching, analytics, and QA automation.

Discover how real-time agent assist enhances support agent efficiency and explore 7 top alternatives on the market.

Discover how Level AI’s Virtual Agent empowers CX leaders to scale without sacrificing quality. Deliver personalized, connected, and insightful customer experiences while reducing costs and boosting CSAT.

Our post compares the features and pricing of top-rated AQM software, providing essential tips and highlighting the benefits of automating quality management.

Discover why leading brands are embracing a single AI-powered customer experience platform. Learn how unifying CX tools drives higher satisfaction, consistent engagement, and measurable results.

Learn what Natural Language Understanding (NLU) is, how it works, and how it differs from NLP and NLG. Explore examples, process, and real-world use cases.

Our guide to the 6 best call analytics software tools will help you improve quality assurance, boost agent productivity, and gather actionable insights.

Compare the 8 best call quality monitoring tools for customer support teams. Learn how each one can improve call analysis, agent feedback, and QA efficiency.

Explore the key components of call center real time reporting, from dashboards to sentiment scores, and how they drive better CX outcomes.

Explore top voice of customer software to track feedback, analyze sentiment, and improve customer experience at scale.

Discover how Level AI’s Agentic AI brings empathy to customer service automation. Learn why emotional intelligence is key to customer loyalty, satisfaction, and CX success.

Explore the top 7 contact center AI solutions to boost efficiency and enhance customer satisfaction in customer service and operations.

Discover why decision-tree chatbots are outdated and how Agentic AI transforms CX automation with dynamic, empathetic, and contextually aware conversations that boost satisfaction and efficiency.

Boost your call center efficiency with these 7 expert-backed tips. From automation to agent coaching, transform your CX operations.

This guide covers the best contact center automation tools to streamline workflows, cut costs, and delight your customers.

Discover why the future of CX isn’t ‘AI vs. Agents’ but the perfect blend of Human + AI. Learn how leading brands use Level AI to boost CSAT, speed up onboarding, and deliver empathy at scale.

Discover why leading CX teams are moving beyond automation for its own sake. Learn how AI and agents together build trust, elevate service quality, and drive lasting customer loyalty.

Introducing Level AI's Virtual Agent

Compare the leading conversation analytics software for customer service and sales teams. Find the right tool to unlock better insights and outcomes.

Compare 9 call center tracking system software platforms for managing, analyzing, and improving customer and prospect calls.

Stay ahead with these 8 customer analytics use cases that show how to move from passive data collection to proactive customer action.

Discover 9 expert-backed tips on how to improve quality assurance in a call center. Boost performance, coach smarter, and scale QA with ease.

Discover the top 7 call center agent monitoring software to boost agent performance, improve QA, and enhance customer satisfaction.

Customer sentiment analysis helps businesses decode customer emotions. Learn best practices, tools, and strategies to improve CX and retention.

Call center voice analytics helps teams analyze 100% of interactions, improve compliance, and optimize customer support with AI-driven insights.

We compare the top call center voice recognition software to streamline operations, increase efficiency, and improve customer experience.

Looking to optimize your contact center? Explore key AI use cases in contact centers, from automation to analytics and coaching, with examples and benefits.

A detailed comparison of Medallia vs Qualtrics vs Level AI's customer experience tools, AI-driven insights, and real-time feedback analysis.

Looking for the best SurveyMonkey alternatives? Explore eight powerful survey tools with competitive pricing and advanced features for your business.

Compare features, pricing, and insights of Qualtrics, SurveyMonkey, and Level AI to see how they stack up in customer experience and feedback analysis.

In this comprehensive guide, we compare the top 6 Verint competitors, including Level AI, with detailed insights on features, pricing, and flexibility.

The complete guide to call center shrinkage — with the BPO formula, a worked example, industry benchmarks, and practical ways to reduce it

Explore top AI tools for customer service, tailored for call centers, help desks, and CRM integrations to boost efficiency and satisfaction.

Discover how AI-driven call center analytics dashboards improve performance with actionable insights, clear visualizations, and smarter decision-making tools.

This guide compares the 6 best call center recording solutions, highlighting key features and benefits to help you find the perfect match for your contact center.

Discover 12 top-rated customer satisfaction software solutions to boost CSAT, enhance customer loyalty, and streamline support processes for better CX.

See how customer experience analytics solutions empower businesses to understand customer needs and optimize service across all channels.

Learn how call center sentiment analysis works, its real-world applications and use cases, and how it improves customer service.

Discover how you can use customer interaction analytics to gain a deeper understanding of customer needs, emotions, and service gaps to improve your customer experience.

Compare these 9 best voice of customer tools that help marketing and customer success teams improve their customer interaction analytics and CX strategy.

Explore the top 7 call center quality assurance best practices to enhance customer interactions and deliver superior service using automation and AI insights.

Explore the benefits of AI speech analytics for contact centers with our in-depth guide, covering best practices, benefits, top software options, and examples.

Discover the benefits of real-time speech analytics in customer service. We cover key features and reviews of the top four options available.

Discover how AI is transforming contact centers, from real-time agent assistance to QA improvements. Learn about market-specific adoption, digital channel growth, and measuring AI effectiveness in customer service operations.

Learn the top 3 factors to consider for choosing call monitoring software for contact centers. Plus, explore the leading tools to elevate your customer support.

Level AI announces Matt Weil as the new Chief Revenue Officer, bringing two decades of leadership in scaling tech companies. Following a successful Series C funding round, Matt’s expertise will drive the next phase of growth, expanding Level AI’s market presence in AI-driven customer experience solutions.

Explore the 8 best customer analytics software designed for support & marketing teams to boost their customer insights and improve product and CX strategies.

We compare top speech analytics software for contact centers. Discover how speech analytics optimize customer interactions and QA processes.

We are thrilled to take another leap forward in becoming a pioneer in LLM-native customer experience intelligence and service automation with a successful $39.4 million Series C funding round

Master the Fair Debt Collection Practices Act (FDCPA)! This guide explains key provisions, best practices, and resources for agents to ensure ethical and compliant debt collection.

Unlock the power of AI: how to streamline collections, personalize outreach, and boost recovery rates

Introducing Smart Skip by Level AI, the industry-first AI feature that revolutionizes QA evaluations of agent screen recordings by automatically skipping to the key moments, drastically reducing review time and enhancing efficiency.

Level up your financial services contact center with Level AI. Automate quality checks, personalize agent coaching, and gain valuable customer insights - all powered by Generative AI.

Discover the top 5 strategic initiatives for healthcare contact centers in 2024. Learn how AI-powered solutions can elevate patient experiences, empower agents, unlock actionable insights, and optimize operations for improved quality and efficiency.

Discover how agent screen recording solutions revolutionize customer support operations, from insightful training and continuous quality improvement to proactive issue resolution and regulatory compliance.

Discover how investing in customer experience (CX) can boost loyalty, reduce churn, and drive profits for your bank. Learn how to build a winning CX strategy with Level AI.

Discover the benefits of call center screen recording software in enhancing compliance, security, and workflow adherence. Learn how Level AI's advanced solution enables managers to elevate customer experiences while effectively managing risks.

Empower your agents & elevate CX with Level AI's Agent Assist. Real-time AI delivers knowledge, guidance & insights for superior customer service.

Level AI’s debt collections contact center AI optimizes debt recovery with predictive analytics & real-time AI assistance.

Learn about the key trends that will dominate the contact center landscape in 2024 and beyond.

Learn about Auto-QA and how contact center AI works for you

Automate your QA to increase customer retention

Ditch outdated CSAT scores and rudimentary sentiment analysis! Level AI's innovative solution goes beyond "positive" & "negative" to reveal a spectrum of emotions driving customer experience. Discover granular insights and actionable strategies to build lasting customer loyalty.

A comprehensive overview of the AI scoring at Level AI

Uncover Gartner's 2024 customer service leader priorities: enhance CX, leverage analytics, foster loyalty, maximize self-service, and empower employees with tech. Stay ahead in the evolving service landscape with strategic actions and future-forward technology.

Discover how customer service and support leaders in 2024 navigate evolving landscapes with emerging tech and changing customer expectations. Explore challenges and opportunities in self-service, Generative AI, and Customer Journey Analytics for driving exceptional customer experiences.