Aisera, a top provider of Agentic AI solutions, recently unveiled a new benchmarking framework for assessing AI agents in real-world enterprise settings. This innovative study has been accepted at the ICLR 2025 Workshop, aiming to enhance trust in Large Language Models (LLMs). Co-authored by Aisera experts and Stanford researchers, the CLASSic framework focuses on five crucial evaluation aspects: cost, latency, accuracy, stability, and security. The findings reveal that domain-specific AI agents outperform general-purpose models in various industries like finance and healthcare, offering better reliability and security. Aisera plans to open-source this framework, encouraging broader adoption and innovation in enterprise AI. To learn more about the CLASSic framework, visit Aisera’s website.
Aisera Unveils Revolutionary Benchmark Framework for AI Agents
Aisera, a prominent name in enterprise AI, announced a groundbreaking research study on March 20, 2025, revealing a new benchmarking framework designed to evaluate AI agents in real-world business scenarios. This study aims to enhance trust and performance in large language models (LLMs) and related applications. The framework’s results have been accepted at the prestigious ICLR 2025 Workshop, demonstrating Aisera’s commitment to fostering innovation in artificial intelligence.
The International Conference on Learning Representations (ICLR) is renowned for setting standards in AI research, presenting cutting-edge findings in various fields, including machine vision and speech recognition. Aisera’s research, co-authored by experts from their team and Stanford University, offers a comprehensive approach to benchmarking enterprise AI agents across diverse industries such as banking, healthcare, and education.
Understanding the limitations of traditional evaluation methods, which often focus solely on accuracy, Aisera’s CLASSic framework introduces five crucial dimensions:
– Cost: Analyzes operational expenses like API usage and infrastructure costs.
– Latency: Measures the time taken for responses.
– Accuracy: Examines the correctness of workflows.
– Stability: Evaluates consistency across different conditions.
– Security: Assesses resilience against malicious threats.
The study highlights that domain-specific AI agents outperform general-purpose models, delivering better accuracy, reliability, and security at lower costs. This underscores the importance of specialized solutions in enterprise settings.
Utkarsh Contractor, Aisera’s Field CTO and co-author of the study, stated, “The CLASSic framework serves as a practical guide for enterprises looking to adopt AI agents that provide not only high accuracy but also better cost-effectiveness and security.”
As AI continues to evolve, the need for comprehensive evaluation methods becomes essential. Aisera plans to open-source the CLASSic framework, encouraging broader adoption and innovation within the AI community. For more details about this exciting development and to download the full report, visit Aisera’s official website.
Aisera is a leader in Agentic AI, helping businesses enhance productivity and reduce costs. Founded in 2017, the company has established itself as a pioneer in conversational AI solutions, serving prominent clients around the globe.
Stay tuned for further updates as Aisera unravels the full potential of AI agents in the enterprise sector.
Tags: Aisera, AI agents, CLASSic framework, benchmarking, enterprise AI
What is Aisera’s new framework for evaluation?
Aisera has created a framework to help businesses assess their performance. It looks at various aspects like customer service, AI integration, and overall efficiency, making it easier for companies to improve.
Why should businesses use Aisera’s framework?
Using Aisera’s framework can help businesses identify their strengths and weaknesses. It provides clear insights, allowing companies to make changes that enhance their services and customer satisfaction.
How does the framework evaluate customer service?
The framework evaluates customer service by analyzing response times, customer feedback, and resolution rates. It helps companies see where they excel and where they need to improve.
Can any business use Aisera’s framework?
Yes, any business can use Aisera’s framework. Whether a small startup or a large corporation, the framework is designed to be flexible and useful for various industries.
Is training required to use the framework?
No special training is needed. Aisera’s framework is user-friendly and straightforward, allowing businesses to start evaluating their performance right away.