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    Agent Analyst

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    Sold by: XenonStack 
    Agent Analyst on AWS is an AI-native analytics solution that unifies insights across modern data platforms and legacy systems. Deployed on Amazon EKS with a multi-agent architecture, it enables natural language analytics, explainable insights, and Responsible AI compliance. With integrations across ERP, CRM, and platforms like Snowflake, Databricks, and Redshift, it eliminates silos and accelerates root-cause analysis. Using AWS services such as Bedrock, SageMaker, and CloudWatch, Agent Analyst delivers secure, scalable, and compliant analytics for use cases from anomaly detection to supply chain forecasting—empowering teams with faster, transparent, and actionable intelligence.

    Overview

    Agent Analyst on AWS

    Agent Analyst on AWS is an enterprise-ready, AI-native analytics solution that unifies insights across modern cloud platforms and legacy enterprise systems. Built on a multi-agent architecture and deployed on Amazon EKS, it empowers organizations with natural language analytics, explainable insights, and Responsible AI compliance.

    With seamless integrations across ERP (SAP, Oracle, Dynamics), CRM (Salesforce, HubSpot), and cloud data platforms (Snowflake, Databricks, Redshift), Agent Analyst eliminates silos and accelerates root-cause analysis. Enterprises can deliver faster, transparent, and actionable intelligence for business and technical teams alike.

    Key Features

    1. Natural language queries with explainable responses

    2. Multi-agent orchestration for analytics, insights, and reporting

    3. Responsible AI guardrails with AWS Bedrock and SageMaker

    4. Native integrations with ERP, CRM, and modern data platforms

    5. Secure, scalable deployment on AWS EKS

    6. End-to-end observability with CloudWatch and CloudTrail

    Use Cases

    1. Financial anomaly detection and audit reporting

    2. Revenue and margin breakdown analysis

    3. Supply chain forecasting and vendor delay insights

    4. Customer churn prediction and retention analytics

    5. Regulatory compliance and governance dashboards

    Target Users

    1. Business Analysts and Finance Controllers

    2. Operations and Sales Leaders

    3. Data Engineers and Architects

    4. Compliance and Risk Officers

    Business Impact

    1. Reduces time-to-insight with natural language analytics
    2. Cuts reliance on manual reporting and technical teams
    3. Strengthens compliance, transparency, and governance
    4. Accelerates data-driven decision-making across the enterprise

    Highlights

    • Unifies ERP, CRM, and cloud data platforms into a single analytics layer
    • Provides natural language insights with Responsible AI guardrails.
    • Delivers a secure, scalable, and compliant solution on AWS

    Details

    Delivery method

    Deployed on AWS

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