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    AI Agent Evaluation System by Escala 24x7

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    Sold by: Escala 24x7 
    AI Agent Evaluation System by Escala 24x7 is an end-to-end automated quality assurance professional services offering built on AWS. It automates the evaluation of conversational AI agents through synthetic conversation generation, customizable metrics, and continuous monitoring using Amazon Bedrock AgentCore Evaluations. Designed for banks, insurance companies, retailers, and enterprises operating conversational agents at scale, the solution eliminates manual QA bottlenecks, ensures regulatory compliance, and detects quality degradations in real time before they impact customers.

    Overview

    AI Agent Evaluation System by Escala 24x7 is a professional services offering that helps organizations automate and scale the quality assurance of their conversational AI agents using AWS-native services and Generative AI. The solution is designed for regulated and AI-intensive industries such as banking, insurance, retail, and telecommunications, where conversation quality, regulatory compliance, and customer experience are critical. AI Agent Evaluation System delivers an end-to-end automated evaluation platform covering the full lifecycle:

    • Native integration with Amazon Bedrock AgentCore Evaluations for both on-demand and online evaluations
    • Adapter/wrapper pattern for evaluating agents deployed on external platforms (LangChain, CrewAI, custom REST APIs)
    • Automatic trace capture via AWS Distribution for OpenTelemetry (ADOT) in OTEL format
    • Configuration of AWS built-in evaluators (accuracy, helpfulness, harmfulness, coherence, completeness, conciseness, toxicity, tool correctness, latency)
    • Design and implementation of up to 3 custom evaluators using LLM-as-a-judge with Claude Opus/Sonnet
    • Synthetic conversation generation across customer profiles for pre-production testing and CI/CD regression
    • Continuous online evaluation with configurable sampling for production monitoring
    • Real-time alerting via Amazon CloudWatch and Amazon SNS when quality metrics fall below thresholds
    • Interactive dashboards using Amazon Bedrock AgentCore Observability with data export to S3 The solution is built on a serverless, event-driven architecture leveraging AWS managed services for scalability, security, and operational efficiency. AI Agent Evaluation System is delivered as a structured 6-week professional services engagement, including architecture design, implementation, deployment, enablement, and support for AWS Marketplace FTR readiness. Key value for customers:
    • 100% scenario coverage versus 1-5% typical of manual conversation review
    • Reduction of new agent version validation cycles from weeks to hours
    • Quality degradation detection in hours instead of weeks
    • Elimination of dedicated manual QA teams for conversation review
    • Regulatory compliance assurance through custom evaluators codifying business and industry rules
    • AI-powered evaluation with enterprise-grade security and full traceability

    Highlights

    • End-to-end automated evaluation of conversational AI agents powered by Amazon Bedrock AgentCore Evaluations and AWS serverless services for regulated industries.
    • Combines AWS built-in evaluators with custom LLM-as-a-judge evaluators to codify business rules, regulatory requirements, and industry-specific quality standards.
    • Includes synthetic conversation generation for pre-production testing and continuous online monitoring with configurable sampling and real-time alerting.

    Details

    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    For support and inquiries regarding AI Agent Evaluation System by Escala 24x7, please contact: 📧 Email: contact@escala24x7.com  🌐 Website: https://www.escala24x7.com  Our team provides technical support, onboarding assistance, and consultation for implementation and extension of AI Agent Evaluation System by Escala 24x7 on AWS. Support includes architecture advisory, operational best practices, and issue resolution during active project engagements.