G2

Marc F.

Quality Analyst

Mid-Market (51-1000 emp.)

7/3/2025

"Level Ai"

5/5

What do you like best about Level AI?

One of the standout features of Level AI is its powerful AI-driven conversation intelligence that allows quality assurance and customer experience teams to work more efficiently and insightfully. What I like best is how the platform automates and streamlines QA audits at scale, providing a high degree of accuracy in detecting intent, sentiment, and compliance issues across customer interactions. The user-friendly interface makes it easy to filter, search, and analyze call or chat transcripts, helping teams pinpoint coaching opportunities or policy violations without combing through endless recordings. Its customizable scorecards and AI recommendations also make evaluations consistent while offering flexibility for different team standards. Another strong point is the real-time insights that allow teams to react quickly to emerging trends, whether it's a product issue or a gap in agent training. The integration capabilities with CRM and ticketing systems further enhance its functionality, making it a central hub for operational and customer intelligence. Lastly, Level AI continuously improves its models based on feedback and use cases, making it a dynamic tool that evolves with the needs of growing support or sales teams. Review collected by and hosted on G2.com.

What do you dislike about Level AI?

While Level AI offers impressive capabilities in conversation intelligence and QA automation, there are areas where it could improve to provide a smoother and more complete user experience. The reporting and analytics dashboards, while informative, could benefit from deeper drill-down options and more customizable views. For teams that rely heavily on data slicing, this can sometimes limit actionable insights without additional manual work. Despite these challenges, Level AI remains a strong platform—but with further refinement, especially in usability and accuracy, it could become even more powerful for teams at scale. Review collected by and hosted on G2.com.

What problems is Level AI solving and how is that benefiting you?

Level AI addresses one of the biggest challenges in customer support operations: scaling quality assurance without sacrificing accuracy or insight. Traditionally, QA teams could only manually review a small sample of customer interactions, often missing critical trends or performance issues. Level AI solves this by enabling automated, AI-powered auditing of 100% of interactions, whether through chat, email, or voice. This helps in multiple ways. First, it saves significant time and resources, allowing QA teams to focus more on coaching and less on manual scoring. Second, it ensures consistent, unbiased evaluations, removing subjectivity that often varies across human auditors. It also helps in identifying compliance risks and policy violations in real-time, improving both operational efficiency and customer trust. Another key problem Level AI solves is the lack of visibility into agent performance and customer sentiment. With smart tagging, intent detection, and trend analysis, the platform uncovers patterns that would be hard to spot manually—like frequent customer frustrations, recurring product issues, or training gaps. This allows leaders to make data-driven decisions faster. In summary, Level AI helps us improve quality, consistency, and speed in evaluating customer interactions. This directly supports better coaching, increased customer satisfaction, and overall stronger team performance. Review collected by and hosted on G2.com.