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    Akira AI - Unified Agentic AI Platform

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    Sold by: XenonStack 
    Akira AI is Xenonstack’s Unified Agentic Platform—an enterprise-grade system that orchestrates intelligent AI agents across business processes and legacy systems. It enables collaborative intelligence across departments and technologies by integrating orchestration, automation, analytics, observability, and security. Akira AI brings intelligent agent orchestration to enterprise systems without requiring infrastructure overhaul. Its unified platform integrates seamlessly across legacy systems and new technologies, enabling dynamic, AI-driven workflows and real-time insights.

    Overview

    Akira AI is Xenonstack’s enterprise-grade platform that orchestrates intelligent AI agents across business processes and legacy systems. It enables collaborative intelligence by integrating orchestration, automation, analytics, observability, and security into a unified framework.

    Product Features:

    • Unified orchestration of intelligent AI agents
    • Multi-agent workflow automation
    • Dynamic business process reconfiguration
    • AI-driven analytics and insights
    • Observability and security for distributed systems
    • Integration with legacy systems via MCP/ACP and A2A protocols
    • Interoperability with IT, OT, and ET environments

    Supported AWS Services:

    • AI Services: Amazon Nova (Premier/Pro), Amazon Bedrock, Amazon SageMaker
    • Orchestration & Workflow: AWS Fargate, Amazon SQS
    • Compute & Integration: AWS Lambda, Amazon API Gateway
    • Data & Storage: Amazon S3, Amazon RDS
    • Monitoring & Security: Amazon CloudWatch, AWS IAM

    Usage:

    • Akira AI is used to orchestrate AI agents across enterprise processes, automate and optimize workflows, and enable real-time decision-making and analytics.
    • It supports hybrid deployments across cloud and on-premises systems and integrates seamlessly with existing enterprise infrastructure.

    Primary Use Cases:

    • Enterprise-wide agent orchestration
    • Workflow automation and dynamic reconfiguration
    • Real-time insights and decision intelligence
    • Integration of AI with legacy systems and business processes

    Industry Applications:

    1. Healthcare: Emergency protocol automation, multi-specialist coordination, telehealth, clinical trial matching
    2. **Financial Services: **Mortgage processing, fraud investigation, KYC/AML, insurance claims
    3. Manufacturing: Supply chain resilience, factory orchestration, quality control
    4. Logistics: Shipping orchestration, warehouse automation, delivery optimization
    5. Government: Emergency management, smart city coordination, permit processing
    6. Autonomous Systems: Multi-robot coordination, fleet management, adaptive mission planning

    Benefits:

    1. Non-disruptive integration with existing systems
    2. Context-aware collaboration between agents
    3. Real-time analytics for process optimization
    4. Unified control and observability across operations
    5. Automated compliance and regulatory monitoring
    6. Enterprise-scale deployment with hybrid support

    Sample Customer Outcomes:

    1. Emergency Services: Reduced response times by 42%, improved first assessment accuracy
    2. Logistics: Reduced document processing time by 68%, eliminated ownership transfer errors

    User Types:

    1. Emergency Dispatchers, Paramedics, Fire Chiefs, Police Officers
    2. Supply Chain Managers, Warehouse Supervisors, Logistics Coordinators
    3. Compliance Officers, IT Teams, HR Managers, Finance Controllers
    4. Sales and Customer Support Representatives, Analysts, Technicians

    Highlights

    • Seamless integration with legacy infrastructure—no overhaul required
    • Real-time analytics, observability, and automated compliance built-in
    • Unified orchestration of intelligent AI agents across enterprise systems

    Details

    Sold by
    XenonStack 
    Categories
    AI Security 
    Customer Experience Personalization 
    Assessments 
    Delivery method
    Deployed on AWS

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