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.

Based on 35.1 million conversations across 85 companies, this report explores how explicit emotional validation impacts customer satisfaction — and why empathy may be more measurable than most CX teams think.

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

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.

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

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.

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.

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

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.