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AI Agent Evaluation System by Escala 24x7

Escala 24x7 · Customer Service

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

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.

Show the rest of the publisher’s description (19 more lines)

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

Highlighted by the publisher on AWS Marketplace.

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.

Agent build and provenance

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Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

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Pricing
Unknown
Not stated
Delivery
Professional service
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.
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