Transforming RFID Device Management with Governed Agentic AI
Discover how leading global enterprise leveraged elsai to automate device management while maintaining enterprise-grade governance and observability.
100%
Visibility & Observability on Agentic Operations
30%
Reduction in AI Operational Costs
40%
Faster Issue Identification & Resolution
Table of contents
Overview
Our Client is a leading global enterprise specializes in delivering enterprise-grade RFID and mobility solutions that help organizations track assets, streamline operations, and improve visibility across their supply chains. Serving industries such as logistics, manufacturing, healthcare, and retail, they support the deployment and management of large fleets of RFID readers and connected devices.
To ensure reliable performance across customer environments, Lowry manages complex workflows related to device configuration, firmware updates, monitoring, troubleshooting, and lifecycle management.
Business Challenge
Our client manages a wide range of operational workflows for RFID readers and connected devices, including applying configuration templates, modifying reader settings, updating firmware, controlling tag-reading operations, and generating system reports. These tasks traditionally required users to interact directly with technical management interfaces and backend systems.
01
Bridging the gap between complex technical systems and non-technical business users
02
Reducing reliance on specialized technical staff for routine device management tasks
03
Reducing reliance on specialized technical staff for routine device management tasks
04
Scaling device management operations without proportionally increasing operational overhead
05
Ensuring consistent, reliable, and error-free execution of enterprise workflows
elsai Solution
To help our client simplify device-management operations and reduce dependence on technical teams, elsai enabled the development of an AI-powered Co-Worker capable of understanding natural language requests and executing technical workflows through backend systems and APIs.
AI Co-Worker for Device Management
The AI Co-Worker enabled them to perform complex operational tasks through simple conversational interactions, including:
• Applying configuration templates
• Updating reader settings
• Initiating firmware upgrades
• Starting or stopping tag-reading operations
• Generating reports on demand
• Automating backend workflows through API integrations
The solution bridged the gap between business users and complex technical systems by translating user requests into executable workflows.
Business Impact
100% visibility into LLM interactions, agent activities, and workflow execution through centralized monitoring and observability.
Up to 30% reduction in AI operational costs through continuous tracking and optimization of token consumption and resource utilization.
40% faster issue identification and resolution with real-time system metrics, workflow monitoring, and performance insights.
Improved reliability of AI-driven workflows through proactive monitoring and centralized governance.
35% improvement in operational efficiency, by providing complete transparency into AI usage, performance, and costs.
35% improvement in operational efficiency, by providing complete transparency into AI usage, performance, and costs.
The elsai Advantage
With elsai governed agentic workflows, our client scaled at,
• Governed and auditable AI operations
• Natural language-driven workflow execution
• Real-time monitoring and observability
• Optimized AI performance and cost control
• Enterprise-ready scalability and reliability
Looking to unlock measurable business impact with AI? Partner with elsai to build intelligent, observable, and enterprise-ready governed workflows that deliver results at scale.
Overview
Our Client is a leading global enterprise specializes in delivering enterprise-grade RFID and mobility solutions that help organizations track assets, streamline operations, and improve visibility across their supply chains. Serving industries such as logistics, manufacturing, healthcare, and retail, they support the deployment and management of large fleets of RFID readers and connected devices.
To ensure reliable performance across customer environments, Lowry manages complex workflows related to device configuration, firmware updates, monitoring, troubleshooting, and lifecycle management.
Business Challenge
Our client manages a wide range of operational workflows for RFID readers and connected devices, including applying configuration templates, modifying reader settings, updating firmware, controlling tag-reading operations, and generating system reports. These tasks traditionally required users to interact directly with technical management interfaces and backend systems.
01
Bridging the gap between complex technical systems and non-technical business users
02
Reducing reliance on specialized technical staff for routine device management tasks
03
Reducing reliance on specialized technical staff for routine device management tasks
04
Scaling device management operations without proportionally increasing operational overhead
05
Ensuring consistent, reliable, and error-free execution of enterprise workflows
elsai Solution
To help our client simplify device-management operations and reduce dependence on technical teams, elsai enabled the development of an AI-powered Co-Worker capable of understanding natural language requests and executing technical workflows through backend systems and APIs.
AI Co-Worker for Device Management
The AI Co-Worker enabled them to perform complex operational tasks through simple conversational interactions, including:
• Applying configuration templates
• Updating reader settings
• Initiating firmware upgrades
• Starting or stopping tag-reading operations
• Generating reports on demand
• Automating backend workflows through API integrations
The solution bridged the gap between business users and complex technical systems by translating user requests into executable workflows.
Business Impact
100% visibility into LLM interactions, agent activities, and workflow execution through centralized monitoring and observability.
Up to 30% reduction in AI operational costs through continuous tracking and optimization of token consumption and resource utilization.
40% faster issue identification and resolution with real-time system metrics, workflow monitoring, and performance insights.
Improved reliability of AI-driven workflows through proactive monitoring and centralized governance.
35% improvement in operational efficiency, by providing complete transparency into AI usage, performance, and costs.
Enabled scalable enterprise AI deployments with standardized monitoring and maintainable operational controls.
The elsai Advantage
With elsai governed agentic workflows, our client scaled at,
• Governed and auditable AI operations
• Natural language-driven workflow execution
• Real-time monitoring and observability
• Optimized AI performance and cost control
• Enterprise-ready scalability and reliability
Looking to unlock measurable business impact with AI? Partner with elsai to build intelligent, observable, and enterprise-ready governed workflows that deliver results at scale.
Table of contents
Overview
Our Client is a leading global enterprise specializes in delivering enterprise-grade RFID and mobility solutions that help organizations track assets, streamline operations, and improve visibility across their supply chains. Serving industries such as logistics, manufacturing, healthcare, and retail, they support the deployment and management of large fleets of RFID readers and connected devices.
To ensure reliable performance across customer environments, Lowry manages complex workflows related to device configuration, firmware updates, monitoring, troubleshooting, and lifecycle management.
Business Challenge
Our client manages a wide range of operational workflows for RFID readers and connected devices, including applying configuration templates, modifying reader settings, updating firmware, controlling tag-reading operations, and generating system reports. These tasks traditionally required users to interact directly with technical management interfaces and backend systems.
01
Bridging the gap between complex technical systems and non-technical business users
02
Reducing reliance on specialized technical staff for routine device management tasks
03
Reducing reliance on specialized technical staff for routine device management tasks
04
Scaling device management operations without proportionally increasing operational overhead
05
Ensuring consistent, reliable, and error-free execution of enterprise workflows
elsai Solution
To help our client simplify device-management operations and reduce dependence on technical teams, elsai enabled the development of an AI-powered Co-Worker capable of understanding natural language requests and executing technical workflows through backend systems and APIs.
AI Co-Worker for Device Management
The AI Co-Worker enabled them to perform complex operational tasks through simple conversational interactions, including:
• Applying configuration templates
• Updating reader settings
• Initiating firmware upgrades
• Starting or stopping tag-reading operations
• Generating reports on demand
• Automating backend workflows through API integrations
The solution bridged the gap between business users and complex technical systems by translating user requests into executable workflows.
Business Impact
100% visibility into LLM interactions, agent activities, and workflow execution through centralized monitoring and observability.
Up to 30% reduction in AI operational costs through continuous tracking and optimization of token consumption and resource utilization.
40% faster issue identification and resolution with real-time system metrics, workflow monitoring, and performance insights.
Improved reliability of AI-driven workflows through proactive monitoring and centralized governance.
35% improvement in operational efficiency, by providing complete transparency into AI usage, performance, and costs.
Enabled scalable enterprise AI deployments with standardized monitoring and maintainable operational controls.
The elsai Advantage
With elsai governed agentic workflows, our client scaled at,
• Governed and auditable AI operations
• Natural language-driven workflow execution
• Real-time monitoring and observability
• Optimized AI performance and cost control
• Enterprise-ready scalability and reliability
Looking to unlock measurable business impact with AI? Partner with elsai to build intelligent, observable, and enterprise-ready governed workflows that deliver results at scale.
Overview
Our Client is a leading global enterprise specializes in delivering enterprise-grade RFID and mobility solutions that help organizations track assets, streamline operations, and improve visibility across their supply chains. Serving industries such as logistics, manufacturing, healthcare, and retail, they support the deployment and management of large fleets of RFID readers and connected devices.
To ensure reliable performance across customer environments, Lowry manages complex workflows related to device configuration, firmware updates, monitoring, troubleshooting, and lifecycle management.
Business Challenge
Our client manages a wide range of operational workflows for RFID readers and connected devices, including applying configuration templates, modifying reader settings, updating firmware, controlling tag-reading operations, and generating system reports. These tasks traditionally required users to interact directly with technical management interfaces and backend systems.
01
Bridging the gap between complex technical systems and non-technical business users
02
Reducing reliance on specialized technical staff for routine device management tasks
03
Reducing reliance on specialized technical staff for routine device management tasks
04
Scaling device management operations without proportionally increasing operational overhead
05
Ensuring consistent, reliable, and error-free execution of enterprise workflows
elsai Solution
To help our client simplify device-management operations and reduce dependence on technical teams, elsai enabled the development of an AI-powered Co-Worker capable of understanding natural language requests and executing technical workflows through backend systems and APIs.
AI Co-Worker for Device Management
The AI Co-Worker enabled them to perform complex operational tasks through simple conversational interactions, including:
• Applying configuration templates
• Updating reader settings
• Initiating firmware upgrades
• Starting or stopping tag-reading operations
• Generating reports on demand
• Automating backend workflows through API integrations
The solution bridged the gap between business users and complex technical systems by translating user requests into executable workflows.
Business Impact
100% visibility into LLM interactions, agent activities, and workflow execution through centralized monitoring and observability.
Up to 30% reduction in AI operational costs through continuous tracking and optimization of token consumption and resource utilization.
40% faster issue identification and resolution with real-time system metrics, workflow monitoring, and performance insights.
Improved reliability of AI-driven workflows through proactive monitoring and centralized governance.
35% improvement in operational efficiency, by providing complete transparency into AI usage, performance, and costs.
Enabled scalable enterprise AI deployments with standardized monitoring and maintainable operational controls.
The elsai Advantage
With elsai governed agentic workflows, our client scaled at,
• Governed and auditable AI operations
• Natural language-driven workflow execution
• Real-time monitoring and observability
• Optimized AI performance and cost control
• Enterprise-ready scalability and reliability
Looking to unlock measurable business impact with AI? Partner with elsai to build intelligent, observable, and enterprise-ready governed workflows that deliver results at scale.
Table of contents
Overview
Our Client is a leading global enterprise specializes in delivering enterprise-grade RFID and mobility solutions that help organizations track assets, streamline operations, and improve visibility across their supply chains. Serving industries such as logistics, manufacturing, healthcare, and retail, they support the deployment and management of large fleets of RFID readers and connected devices.
To ensure reliable performance across customer environments, Lowry manages complex workflows related to device configuration, firmware updates, monitoring, troubleshooting, and lifecycle management.
Business Challenge
Our client manages a wide range of operational workflows for RFID readers and connected devices, including applying configuration templates, modifying reader settings, updating firmware, controlling tag-reading operations, and generating system reports. These tasks traditionally required users to interact directly with technical management interfaces and backend systems.
01
Bridging the gap between complex technical systems and non-technical business users
02
Reducing reliance on specialized technical staff for routine device management tasks
03
Reducing reliance on specialized technical staff for routine device management tasks
04
Scaling device management operations without proportionally increasing operational overhead
05
Ensuring consistent, reliable, and error-free execution of enterprise workflows
elsai Solution
To help our client simplify device-management operations and reduce dependence on technical teams, elsai enabled the development of an AI-powered Co-Worker capable of understanding natural language requests and executing technical workflows through backend systems and APIs.
AI Co-Worker for Device Management
The AI Co-Worker enabled them to perform complex operational tasks through simple conversational interactions, including:
• Applying configuration templates
• Updating reader settings
• Initiating firmware upgrades
• Starting or stopping tag-reading operations
• Generating reports on demand
• Automating backend workflows through API integrations
The solution bridged the gap between business users and complex technical systems by translating user requests into executable workflows.
Business Impact
100% visibility into LLM interactions, agent activities, and workflow execution through centralized monitoring and observability.
Up to 30% reduction in AI operational costs through continuous tracking and optimization of token consumption and resource utilization.
40% faster issue identification and resolution with real-time system metrics, workflow monitoring, and performance insights.
Improved reliability of AI-driven workflows through proactive monitoring and centralized governance.
35% improvement in operational efficiency, by providing complete transparency into AI usage, performance, and costs.
Enabled scalable enterprise AI deployments with standardized monitoring and maintainable operational controls.
The elsai Advantage
With elsai governed agentic workflows, our client scaled at,
• Governed and auditable AI operations
• Natural language-driven workflow execution
• Real-time monitoring and observability
• Optimized AI performance and cost control
• Enterprise-ready scalability and reliability
Looking to unlock measurable business impact with AI? Partner with elsai to build intelligent, observable, and enterprise-ready governed workflows that deliver results at scale.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.