Inspired by AI: Six Copilot Use Cases<\/p>\n\n\n\n
Introduction<\/strong><\/p>\n\n\n\n In the realm of tech-enabled productivity AI, copilots signify a huge leap forward for businesses.<\/strong><\/p>\n\n\n\n Copilots are a new breed of intelligent apps that act as AI-powered productivity tools, using generative AI to create human-like interactions within digital experiences. <\/p>\n\n\n\n Copilots enable more seamless collaboration between people and the technology they use, helping businesses improve the quality of their work and deliver more convenient experiences for customers. Acting as always-on virtual helpers, they make it easy for users to search for information, discover deep insights, and generate content\u2014all from an interactive, natural chat experience. Essentially, copilots aren\u2019t just tools\u2014they\u2019re collaborative partners that empower businesses to navigate a digital age that\u2019s growing in complexity every day. <\/p>\n\n\n\n Typically, the best tool for the job is the one built specifically for that job. While out-of-the-box copilots have many benefits, building your own copilot helps ensure that the AI interactions you implement\u2014and the data powering them\u2014amplify your unique strengths and drive your specific business goals. <\/p>\n\n\n\n This e-book examines six different use cases for building your own copilot and explores From chatbots to copilots: AI assistants for modern businesses<\/strong><\/p>\n\n\n\n Chatbot technology has made significant strides over the past few years.<\/strong><\/p>\n\n\n\n In their earliest form, basic decision tree chatbots\u2014called rule-based or scripted chatbots\u2014relied on predetermined rules and responses. Using specific keywords or triggers, people interacting with these chatbots can follow a structured flowchart to get answers to basic questions. However, it doesn\u2019t take much to reach their limits.<\/p>\n\n\n\n The competitive advantage of copilots<\/strong><\/p>\n\n\n\n Whether someone is at work or interacting with a business as a customer, everyone expects quick and intelligent digital interactions.<\/p>\n\n\n\n As faster and more impressive technologies emerge, those expectations will continue to get higher. To keep pace with this ever-growing demand, you can either build your copilot application from the ground up or enhance existing applications by introducing a copilot as a new feature. Whichever path you choose, you\u2019ll have to answer that critical question: how do you implement copilots that add real, tangible value to your business?<\/p>\n\n\n\n On the customer side, copilots offer a convenient avenue for real-time assistance and a dynamic tool for interacting with your business. With AI-powered assistance available around the clock and trained on your company\u2019s data, customers get more access to faster and more convenient service, driving up loyalty and helping you maintain a reputation for customer service.<\/p>\n\n\n\n Copilot use cases: Build and modernize better experiences for all<\/strong><\/p>\n\n\n\n Copilots can enhance experiences across various use cases, providing speed, convenience, and personalization that\u2019s been impossible until now.<\/strong><\/p>\n\n\n\n The magic of copilots is in their ability to process huge volumes of data while providing natural interactions with users in all settings.<\/p>\n\n\n\n Custom copilot use case 1: Connected smart products<\/strong><\/p>\n\n\n\n Scenario:<\/strong> A smart home solution vendor wants to drive user retention by bringing a copilot into its app that allows customers to adjust settings using natural voice commands.<\/p>\n\n\n\n Custom copilot use case 2: Transaction processing at scale<\/p>\n\n\n\n Scenario:<\/strong> An insurance provider who wants to boost productivity decides to build a copilot that frees its agents from manual tasks while processing claims.<\/p>\n\n\n\n Custom copilot use case 3: Real-time fraud detection<\/strong><\/p>\n\n\n\n Scenario: <\/strong>A bank wants to integrate a copilot into its existing fraud detection solution to surface real-time insights so they can be more proactive about Custom copilot use case 4: Service and support bots<\/strong><\/p>\n\n\n\n Scenario:<\/strong> An automotive company<\/a> wants to improve driver safety by introducing generative AI capabilities that help drivers keep their hands and eyes focused on the road.<\/p>\n\n\n\n Custom copilot use case 5: Information and product discovery<\/strong><\/p>\n\n\n\n Scenario: <\/strong>An industrial supplier wants to improve fulfillment and grow customer satisfaction by building a copilot that streamlines inventory discovery.<\/p>\n\n\n\n Custom copilot use case 6: Personalization and recommendation<\/strong><\/p>\n\n\n\n Scenario: <\/strong>An online fashion retailer<\/a> wants to increase sales by building an AI-powered experience that provides curated product selections to customers Copilots on the job<\/strong><\/p>\n\n\n\n Learn how these companies are already using their copilots to simplify work and deliver exceptional customer experiences.<\/strong><\/p>\n\n\n\n KPMG delivers huge productivity gains and drives new business with generative AI<\/strong><\/p>\n\n\n\n KPMG Australia deployed a generative AI agent called KymChat to help its 10,000 employees surface data and client insights from its external and internal websites, knowledge repositories, and Microsoft 365 productivity files. As the solution grew, KPMG added more functionalities to make it more scalable and improve the quality of responses, allowing high-quality results to be delivered in under one second.<\/p>\n\n\n\n
how those applications promote productivity and better customer experiences.<\/p>\n\n\n\n
Copilots, on the other hand, are free from the traditional decision tree model. They offer more contextual and human-like user interactions using generative AI and natural language processing. Analyzing extensive datasets, copilots can grasp nuanced user inputs and prompts, providing natural responses that help humans engage more efficiently with their digital tools. Copilots are paving the way for greater impact with AI by enabling richer interactions between humans and machines.<\/p>\n\n\n\n
Copilots provide a unique competitive advantage for both internal operations and external interactions. By delivering intelligent assistance to workers, you can enhance workforce productivity, reduce human error, and enable a better understanding of customer needs.<\/p>\n\n\n\n
Below are six examples of custom-built copilots and the benefits they deliver to organizations, their employees, and their customers.<\/p>\n\n\n\n
Copilot in action: <\/strong>This copilot would be an indispensable companion in helping end users manage their automated home systems. Seamlessly communicating with smart devices throughout the user\u2019s home, it could respond to voice commands and proactively suggest optimizations, letting users effortlessly control lighting, temperature, and security. By providing an intuitive home management copilot, the vendor helps its customers craft a more comfortable and personalized home environment, ensuring users stay loyal to that solution.<\/p>\n\n\n\n
Copilot in action: <\/strong>Processing and analyzing insurance claims are time-consuming tasks that can easily monopolize agents\u2019 time. A copilot used in this context
would be able to assess the claim against business rules and the nuanced details of insurance policies, then determine if the claim is valid and meets the
policy requirements. Not only would it speed up the analysis of the claim, it would eliminate the need for agents to sift through tons of documentation<\/a>,
enhancing productivity and giving agents more time to give personalized attention to clients.<\/p>\n\n\n\n
preventing financial fraud.<\/p>\n\n\n\n
Copilot in action:<\/strong> In this use case, a custom copilot grounded on the bank\u2019s data could help reduce false positives and improve accuracy in detecting fraudulent patterns.<\/a> When potential fraud is detected, the copilot generates detailed alerts for bank agents, initiating automated investigations that cross-reference data from different sources. Based on the investigation results, the copilot could also assign risk scores to flagged transactions or accounts, allowing the bank to prioritize high-risk cases for immediate action in case they need to block a transaction or freeze an account. By streamlining the fraud detection process and enabling proactive prevention measures, the copilot enhances the bank\u2019s efficiency, reduces financial losses, and safeguards customer assets and trust.<\/p>\n\n\n\n
Copilot in action:<\/strong> An automotive copilot like this one would let drivers use voice commands to control settings in their vehicle, like temperature, window
positions, and entertainment, so they could avoid having to look away from the road to interact with a touchscreen. Running in the background, the copilot would also monitor the driver\u2019s behavior and the road environment, delivering audio cues to focus the driver\u2019s attention when it determines driving action should be taken. The driver gets a safer and more comfortable driving experience. At the same time, the automotive company gains a competitive edge by offering innovative safety features, improving brand reputation, and potentially reducing insurance claims.<\/p>\n\n\n\n
Copilot in action:<\/strong> In this scenario, an industrial supplier has recognized that its employees are spending significant time searching for specific items within
their vast inventory of parts, materials, and equipment. By building a discovery assistant copilot, the workers can use natural language queries to get real-time
information on inventory availability, location, and specifications. It could also be customized to the company\u2019s specific inventory structure and seamlessly
integrated with existing systems for enhanced functionality and tailored user experiences. Employees are empowered to retrieve items faster, while the
company benefits from improved efficiency and enhanced customer service through timely fulfillment.<\/p>\n\n\n\n
in a conversational setting.<\/p>\n\n\n\n
Copilot in action: <\/strong>For some customers, shopping is a better experience if there\u2019s someone around to chat with about your possible purchases. A generative AI
shopping assistant embedded into the retailer\u2019s website could provide a natural shopping interaction for customers looking for a more supported shopping
experience. Through a natural chat experience, the copilot gradually learns the shopper\u2019s preferences so it can offer items that fit that shopper\u2019s unique
tastes\u2014creating a more engaging experience for the shopper while also encouraging more purchases.<\/p>\n\n\n\n
Read the whole story \u203a<\/a><\/p>\n\n\n\n