9 "Not So Common" Applications of Agentic AI

9 "Not So Common" Applications of Agentic AI

9 "Not So Common" Applications of Agentic AI

9 "Not So Common" Applications of Agentic AI

9 "Not So Common" Applications of Agentic AI

9 "Not So Common" Applications of Agentic AI

9 "Not So Common" Applications of Agentic AI

By Anita Srinivasan

By Anita Srinivasan

By Anita Srinivasan

Dec 5, 2024

Dec 5, 2024

Dec 5, 2024

Co-pilot

Co-pilot

Computer Vision

Computer Vision

Innovative Solutions

Innovative Solutions

White paper

White paper

Mastering Productivity with Copilot

Mastering Productivity with Copilot

Unlocking Efficiency, Innovation, and Success Across Your Business

Unlocking Efficiency, Innovation, and Success Across Your Business

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computer-vision-technology
computer-vision-technology
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computer-vision-technology

AI-powered tools are transforming business applications across a host of industries. 

One common misconception is that this AI-powered tool is good only for automatic application code generation or content (i.e. email, blog, image etc) generation. This is not the case. Agentic AI can go a long way in improving productivity with its automated use cases.

Here are 9 “not so common” applications of Agentic AI tools like MS Co-Pilot Agent:

  1. Customer service

Be it for retail or technology companies, Agentic AI works best at understanding customer queries and delivering a quick response. This is why customer service teams across industries are leveraging this tool to improve their customer support and satisfaction levels.

Agentic AI also enables human agents to perform their jobs more productively by:

  • Connecting to disparate data sources (including CRM and contact centers) to transform their AI-powered conversations.

  • Accelerating customer onboarding and issue resolution through automation.

Here are some additional use cases of this AI-powered tool in customer service:

  • Automating responses to customer queries or suggestions.

  • Providing real-time support during live chat sessions.

  • Providing multilingual support for global operations.

  • Cutting down costs and scaling operations without adding human resources.

  1. Customer experience (CX)

Agentic AI can also transform customer experience (CX) in retail and other customer-centric domains. For instance, Co-Pilot can power a personalized brand experience by ensuring consistency across online and offline channels. With this tool, retail companies have a single model that collects and analyzes customer insights automatically.

Agentic AI can also elevate the in-store experience by providing AI-enabled knowledge to employees at the right time. Additionally, this tool supports in-store staff in the form of:

  • Intelligent task management

  • Improved training engagement

  • Smarter “work shift” management

Agentic AI can help in enhancing customer experience by:

  • Personalizing the brand-to-customer interactions based on their previous behaviors and preferences.

  • Analyzing the customer’s feedback across various touchpoints.

  • Providing valuable insights into customer satisfaction levels.

  1. Supply chains

In the supply chain and logistics industries, Agentic AI can make a transformational impact. For instance, by using AI-powered supply chains, business leaders can leverage on:

  • Real-time supply chain recommendations

  • Selection of the right supplier

  • Optimizing last-mile logistics

Here are some of the additional applications:

  • Supply chain and logistics managers can utilize this tool to optimize their shipping routes and reduce costs.

  • AI-driven inventory management can help predict consumer demand – thus optimizing supply chain operations and minimizing overstocking or stockouts.

  • Reduction in environmental waste in supply chains through real-time operational visibility.

  1. Inventory management

Besides supply chains, Agentic AI can also analyze the latest sales-related data to make demand projections and inventory requirements. This tool can simplify work for stock managers and help them reorder stock on time. 

Additionally, inventory managers can use this AI-powered tool to make informed decisions about:

  • The current inventory levels and availability.

  • The best performing vendor to reach out to.

  • The best-stocked products to respond to sales-related queries.

  • Integrating inventory tools with third-party applications like e-commerce stores and online chats.

  • Procuring new items and managing changes to purchase orders – based on their business impact and risks.

  • Generating required documents and completing compliance-related tasks with minimal supervision.

Here are some more applications of this AI-powered tool in inventory management:

  • Optimizing the entire chain of supply chain operations.

  • Analyzing current market trends to project future demands.

  1. Data security

Customer-centric industries are faced with the growing volume and complexity of cyberattacks and data breaches. With the assistance of this AI-powered tool, IT security teams are better equipped to identify potential threats. 

By aligning with data security policies, the Agentic AI tools can ensure any organization's compliance with industry regulations. For manufacturers, this tool can safeguard the end-to-end value chain by:

  • Providing complete protection for connected products.

  • Securing data exchanges with suppliers and vendors.

  • Securing intellectual property rights.

  • Strengthening data privacy for customers. 

In the field of data security, Agentic AI can assist in:

  • Configuring user permissions automatically to allow (or restrict) access.

  • Defining the data sources and assets to be accessed by external auditors.

  • Implementing data security monitoring and auditing processes.

  1. Product designing

With Agentic AI, AI technology is now at the foundation of any product development lifecycle. For instance, product manufacturers can leverage “intelligence” to design products based on various considerations like weight, aesthetics, and user experience.

Here are some ways in which Agentic AI can assist in the development of innovative products:

  • Gather and learn from user feedback to improve performance.

  • Implement a continuous cycle of self-learning and improvement.

  • Build and train AI-powered models designed for product development.

AI-powered tools can enhance product designing by:

  • Enabling chatbots to provide product information.

  • Enhancing Agile-based product designing and development.

  • Building and training AI models to self-learn and build better product designs.

  1. Field services in telecom

Agentic AI can transform field service operations in the telecom sector. Currently, field service technicians are performing manual tasks, thus lowering their overall productivity. With this tool, they can automate time-consuming tasks like:

  • Obtaining work order details related to notes, products, customers, and related activities.

  • Filling out work orders by retrieving relevant information from emails.

  • Entering work order information from MS Teams conversations.

  • Recommending the right field service technician based on their expertise, availability, and other attributes.

In field services, AI powers tools can help in:

  • Leveraging IoT systems to monitor assets and services.

  • Summarizing work orders to streamline the service workflow.

  • Improving the field response time.

  1. Financial management

Agentic AI also works to improve financial management across industry domains. For instance, with MS Co-Pilot for Finance, finance professionals can unlock the power of AI in their daily tasks, thus boosting productivity. With a single prompt, financial auditors can now retrieve and reconcile financial data.

Similarly, financial analysts can leverage this AI-powered tool to enter market data and receive immediate results, thus saving on hours of manual work. AI algorithms can potentially detect fraudulent transactions and suspicious patterns, thus delivering financial security.

AI-powered tool in financial management can also help in:

  • Automating invoice processing.

  • Tracking and categorizing business expenses.

  • Performing financial forecasting and budgeting.

  1. Drug development

In the ever-evolving pharmaceutical industry, Agentic AI can drive innovation in areas like drug development and clinical trials. Here are some of the focus areas in drug development where AI is making an impact:

  • AI-powered diagnostics.

  • Compilation of clinical trial data on a global scale.

  • Patient support and services.

  • Automation of FDA form submissions.

  • Processing of IoT data from wearables used by patients.

Some additional use cases of this AI-powered tool in the pharmaceutical industry include:

  • Optimizing molecular and drug-vector design.

  • Screening the in-silico compound in the research phase.

  • Identifying the appropriate patients for clinical trials.

Conclusion

Agentic AI is here to stay and transform "traditional" industries like manufacturing, retail, and pharmaceuticals. As outlined, this technology is effective for many applications in addition to code and document generation. 

InovarTech is the right technology partner to help you maximize your investment in AI tools like Co-Pilot. We can help customize this AI tool to suit your business requirements. 

If you want to reimagine your technology landscape, get in touch with us now!

AI-powered tools are transforming business applications across a host of industries. 

One common misconception is that this AI-powered tool is good only for automatic application code generation or content (i.e. email, blog, image etc) generation. This is not the case. Agentic AI can go a long way in improving productivity with its automated use cases.

Here are 9 “not so common” applications of Agentic AI tools like MS Co-Pilot Agent:

  1. Customer service

Be it for retail or technology companies, Agentic AI works best at understanding customer queries and delivering a quick response. This is why customer service teams across industries are leveraging this tool to improve their customer support and satisfaction levels.

Agentic AI also enables human agents to perform their jobs more productively by:

  • Connecting to disparate data sources (including CRM and contact centers) to transform their AI-powered conversations.

  • Accelerating customer onboarding and issue resolution through automation.

Here are some additional use cases of this AI-powered tool in customer service:

  • Automating responses to customer queries or suggestions.

  • Providing real-time support during live chat sessions.

  • Providing multilingual support for global operations.

  • Cutting down costs and scaling operations without adding human resources.

  1. Customer experience (CX)

Agentic AI can also transform customer experience (CX) in retail and other customer-centric domains. For instance, Co-Pilot can power a personalized brand experience by ensuring consistency across online and offline channels. With this tool, retail companies have a single model that collects and analyzes customer insights automatically.

Agentic AI can also elevate the in-store experience by providing AI-enabled knowledge to employees at the right time. Additionally, this tool supports in-store staff in the form of:

  • Intelligent task management

  • Improved training engagement

  • Smarter “work shift” management

Agentic AI can help in enhancing customer experience by:

  • Personalizing the brand-to-customer interactions based on their previous behaviors and preferences.

  • Analyzing the customer’s feedback across various touchpoints.

  • Providing valuable insights into customer satisfaction levels.

  1. Supply chains

In the supply chain and logistics industries, Agentic AI can make a transformational impact. For instance, by using AI-powered supply chains, business leaders can leverage on:

  • Real-time supply chain recommendations

  • Selection of the right supplier

  • Optimizing last-mile logistics

Here are some of the additional applications:

  • Supply chain and logistics managers can utilize this tool to optimize their shipping routes and reduce costs.

  • AI-driven inventory management can help predict consumer demand – thus optimizing supply chain operations and minimizing overstocking or stockouts.

  • Reduction in environmental waste in supply chains through real-time operational visibility.

  1. Inventory management

Besides supply chains, Agentic AI can also analyze the latest sales-related data to make demand projections and inventory requirements. This tool can simplify work for stock managers and help them reorder stock on time. 

Additionally, inventory managers can use this AI-powered tool to make informed decisions about:

  • The current inventory levels and availability.

  • The best performing vendor to reach out to.

  • The best-stocked products to respond to sales-related queries.

  • Integrating inventory tools with third-party applications like e-commerce stores and online chats.

  • Procuring new items and managing changes to purchase orders – based on their business impact and risks.

  • Generating required documents and completing compliance-related tasks with minimal supervision.

Here are some more applications of this AI-powered tool in inventory management:

  • Optimizing the entire chain of supply chain operations.

  • Analyzing current market trends to project future demands.

  1. Data security

Customer-centric industries are faced with the growing volume and complexity of cyberattacks and data breaches. With the assistance of this AI-powered tool, IT security teams are better equipped to identify potential threats. 

By aligning with data security policies, the Agentic AI tools can ensure any organization's compliance with industry regulations. For manufacturers, this tool can safeguard the end-to-end value chain by:

  • Providing complete protection for connected products.

  • Securing data exchanges with suppliers and vendors.

  • Securing intellectual property rights.

  • Strengthening data privacy for customers. 

In the field of data security, Agentic AI can assist in:

  • Configuring user permissions automatically to allow (or restrict) access.

  • Defining the data sources and assets to be accessed by external auditors.

  • Implementing data security monitoring and auditing processes.

  1. Product designing

With Agentic AI, AI technology is now at the foundation of any product development lifecycle. For instance, product manufacturers can leverage “intelligence” to design products based on various considerations like weight, aesthetics, and user experience.

Here are some ways in which Agentic AI can assist in the development of innovative products:

  • Gather and learn from user feedback to improve performance.

  • Implement a continuous cycle of self-learning and improvement.

  • Build and train AI-powered models designed for product development.

AI-powered tools can enhance product designing by:

  • Enabling chatbots to provide product information.

  • Enhancing Agile-based product designing and development.

  • Building and training AI models to self-learn and build better product designs.

  1. Field services in telecom

Agentic AI can transform field service operations in the telecom sector. Currently, field service technicians are performing manual tasks, thus lowering their overall productivity. With this tool, they can automate time-consuming tasks like:

  • Obtaining work order details related to notes, products, customers, and related activities.

  • Filling out work orders by retrieving relevant information from emails.

  • Entering work order information from MS Teams conversations.

  • Recommending the right field service technician based on their expertise, availability, and other attributes.

In field services, AI powers tools can help in:

  • Leveraging IoT systems to monitor assets and services.

  • Summarizing work orders to streamline the service workflow.

  • Improving the field response time.

  1. Financial management

Agentic AI also works to improve financial management across industry domains. For instance, with MS Co-Pilot for Finance, finance professionals can unlock the power of AI in their daily tasks, thus boosting productivity. With a single prompt, financial auditors can now retrieve and reconcile financial data.

Similarly, financial analysts can leverage this AI-powered tool to enter market data and receive immediate results, thus saving on hours of manual work. AI algorithms can potentially detect fraudulent transactions and suspicious patterns, thus delivering financial security.

AI-powered tool in financial management can also help in:

  • Automating invoice processing.

  • Tracking and categorizing business expenses.

  • Performing financial forecasting and budgeting.

  1. Drug development

In the ever-evolving pharmaceutical industry, Agentic AI can drive innovation in areas like drug development and clinical trials. Here are some of the focus areas in drug development where AI is making an impact:

  • AI-powered diagnostics.

  • Compilation of clinical trial data on a global scale.

  • Patient support and services.

  • Automation of FDA form submissions.

  • Processing of IoT data from wearables used by patients.

Some additional use cases of this AI-powered tool in the pharmaceutical industry include:

  • Optimizing molecular and drug-vector design.

  • Screening the in-silico compound in the research phase.

  • Identifying the appropriate patients for clinical trials.

Conclusion

Agentic AI is here to stay and transform "traditional" industries like manufacturing, retail, and pharmaceuticals. As outlined, this technology is effective for many applications in addition to code and document generation. 

InovarTech is the right technology partner to help you maximize your investment in AI tools like Co-Pilot. We can help customize this AI tool to suit your business requirements. 

If you want to reimagine your technology landscape, get in touch with us now!

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