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    Muse ERP Exception Suite

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    Sold by: skie.io 
    Agentic AI for SAP Exceptions

    Overview

    Muse ERP Exception Suite is an AI-powered exception management solution built on AWS that transforms how enterprises detect, investigate, and resolve ERP process exceptions across SAP environments. Purpose-built for SAP environments, our solution leverages AWS Bedrock's agentic AI capabilities to automatically detect, investigate, and resolve exceptions that consume 30-50% of finance teams' daily workload. Ideal for mid-to-large SAP enterprises seeking to accelerate exception resolution without migrating to RISE.

    By combining intelligent automation with human-in-the-loop decision making, organizations reduce exception processing time by 70%, improve accuracy to 99%, and free skilled professionals from repetitive data gathering to focus on strategic value creation.

    skie Muse excels at handling high-impact SAP exceptions including invoice matching failures, payment blocks, purchase order variances, goods receipt discrepancies, and master data inconsistencies. Our AWS Bedrock AgentCore-powered AI investigates exceptions by instantly gathering data from multiple SAP modules, analyzing historical patterns, identifying root causes, and presenting resolution options with confidence scores—reducing 75-minute manual investigations to 5-minute reviews. The platform features native SAP integration through OData services, RFC/BAPI connections, and IDoc processing, ensuring seamless connectivity while respecting existing SAP authorizations and maintaining full audit trails. Teams can interact through a web application, Microsoft Teams or Slack integration or Amazon Quick Suite, using natural language commands to manage exceptions without navigating complex SAP screens. With configurable automation levels, organizations maintain control while progressively increasing efficiency as confidence builds.

    This solution leverages the following AWS services: Amazon Bedrock (for multi-model AI orchestration and agentic workflows), Amazon EKS (for containerized application deployment), Amazon RDS Aurora (for exception history and pattern storage), Amazon S3 (for document storage), Amazon CloudWatch (for monitoring and analytics), and Amazon API Gateway (for SAP integration). The solution deploys entirely within the customer's AWS account, ensuring data sovereignty and security.

    Our sprint-based implementation methodology delivers production-ready capabilities in 4-6 weeks. Muse ERP Exception Suite is offered as a fixed-scope, fixed-fee engagement starting at $15,000 for a 4–6 week sprint. The scope includes implementation of two ERP exception types, enablement of AWS components (EKS, Bedrock, RDS, S3, CloudWatch), and user training. Muse ERP Exception Suite qualifies for AWS GenAI Innovation and MAP funding programs.

    Highlights

    • 70% faster SAP exception resolution with AWS Bedrock agentic AI – Transform 75-minute manual invoice matching and ERP exception investigations into 5-minute AI-augmented reviews, achieving 99% accuracy while maintaining human control over decisions and delivering ROI in 6-8 weeks
    • Works with ANY SAP version without RISE requirements – Deploy advanced GenAI automation for SAP ECC, S/4HANA, or hybrid environments without expensive migrations, using native SAP integration (OData, RFC/BAPI) to handle invoice matching, payment blocks, and purchase order exceptions
    • Production-ready in 4-6 weeks with sprint-based implementation – Start resolving SAP exceptions immediately with pre-built AWS Bedrock AI agents, human-in-the-loop workflows, and proven exception management patterns for accounts payable automation, all deployed securely in your AWS account

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    sap-exceptions@skie.io 

    +1 980 349 7844

    **Customers will be assigned a named service manager during the engagement and can purchase a 7/24 long term support agreement. **