Top 15 Use Cases Of AI Agents In Business

Progressive businesses need resources that can pivot with them at an optimized cost. AI agents check all these and many more demands of futuristic business. An agent in AI can set businesses free from annoyances like performing repetitive tasks, errors, unattended bottlenecks, and overburdened staff. 

Powered by generative AI and machine learning algorithms, artificial intelligence agents are capable of emulating human intelligence, facilitating them to execute complex tasks with high precision and accuracy. 

Their ability to adapt to business demands and furnish personalized experiences to customers is driving their adoption across various industries. 

No wonder why the Autonomous AI market size was $ 4.8 billion in 2023. Further, it is anticipated to touch $28.5 by the end of 2028. It’s growing at an impressive CAGR of 43%. 

But where do we apply AI agents?

Which business processes are AI agents best to deploy?

Can they handle complex operations?

 In this post, we will decode the top 15 use cases of AI agents, highlighting their potential to transform business operations and drive growth. 

What Are AI Agents- A Quick Recap 

AI agents are fully automated computer programs or applications designed to perform specific tasks using artificial intelligence and machine learning. They are capable of learning from their surroundings, perceiving the available data, and behaving in a certain manner by leveraging artificial intelligence. 

The chatbot that most businesses use as a part of their customer support system is the simplest example of an agent in AI. It receives the customer queries as input, processes the inputs based on its stored data, generates a response, and delivers an output.

 While AI agents have the potential to be programmed with intricate capabilities, the focus should be on understanding their practical applications in businesses, if a business wants to make the most of the investment it has made in AI agent development. 

 Through this blog, we aim to introduce  top 15 key scenarios where businesses can deploy AI agents to automate tasks, improve productivity, and drive growth. 

Read full Blog:- What are AI Agents? How To Build AI Agent For Your Business?

Customer Support AI Agent Use Cases 

Customer is the King for every business, regardless of the operational industry. A single incidence of poor customer experience can compel 33% of American customers to switch to another service provider and 51% of them will never return. 

 Through the use of agents in AI, businesses can construct a strong customer-business ecosystem where customers’ crises are addressed on time and with prompt action. Here are some of the most common ways of AI agents in customer services. 

#1- High-end Customer Service Delivery 

When 96% of customers can ditch a business based on poor customer service, businesses can’t afford to have dull and unresponsive customer support. Through AI agents, businesses can make customer-business interactions a bit more realistic. 

• AI chat agents use NLP to assess the speech and sentiments of customers and use ML algorithms to detect concerns appropriately. This makes addressing customer queries the right way and at the right moment. 
• Autonomous AI agents are capable of anticipating customer needs using past data and highlighting potential issues before customers can report them. This way, they can deepen the customer relationship and foster loyalty. 
• With the use of AI agents, it’s easy for the retail, healthcare, and travel industries to capture customer queries and concerns from a wide range of channels like social media platforms, email support, WhatsApp chat, and many more. They ensure that no query goes unnoticed and each one gets a prompt reply, promoting the strong faith of customers in the business. 

#2- Personalized Recommendations 

Industries like retail, hospitality, and insurance can use AI agents to make 100% personalized product/service recommendations. With the help of AI algorithms, agents in AI can:

• Analyze customer preferences,
• Track purchase history
• Frame behaviour patterns in real-time. 

Based on this analysis, businesses can provide personalized product recommendations, enhancing cross-selling and upselling opportunities. 

#3- Market Research & Analysis 

AI agents can transform the fundamental market research & analysis that businesses conduct to identify the customers’ journey. They can effectively collect customer data from different platforms, track customer sentiment, and sketch the customer profile.

By analyzing the vast dataset from different verticals, agents in AI can assist businesses in gaining deeper insights into customer preferences & buying habits. They can even identify any change in traditional buying habits and identify any anomalies so that businesses can have a better understanding of consumer needs and modify their service recommendations accordingly.

As AI agents are highly flexible, companies can tweak them to conduct market segment market research, integrate bespoke survey question analysis, and capture data that can help businesses improve customer satisfaction, enabling them to stay at the forefront of their industry.

#4- Prompt Voice-based Search Analysis 

Businesses need to optimize their business for voice-based searches is imperative these days because 1 billion voice searches are taking place using mobile and other voice search devices. 

• Agents in AI can help businesses to analyze a voice search in a better way. They can understand the tone, and sentiments behind a search, and identify the speech pattern. This analysis further empowers businesses to make recommendations framed around the search while improving the accuracy and relevance of responses to voice queries.
• AI agents can optimize according to the user search intent and their search behaviour. 

Workflow Automation-Related AI Agent Use Cases 

Nearly 50% of sales time is wasted on unproductive time. When businesses have to be agile and as productive as possible, workflow automation is the only way to free up the staff from performing mundane jobs. Agents in AI can significantly upgrade how workflows are handled in different industries. 

#5- Lead Generation 

The sales and marketing vertical of a business can deploy agents in AI to automate the entire lead-capturing process. From capturing leads to converting leads into prospects, they can perform every strategic task with full accuracy. 

This is not the end of it? Artificial agents can even integrate customer profile analysis during the pitching process and make it more impactful. Through the use of technologies like machine learning, conversational AI, and predictive AI, agents in AI can help the sales domain of a business to: 

• Monitor a sales call from beginning to end 
• Identify the performance bottlenecks causing low conversion 
• Personalize the outreach 
• Have hold over key metrics such as customer behaviour, buying history, and cart abandonment rate 
• Increasing conversion rate 

The classic example of boosting sales through the use of AI is JP Morgan. This industry leader managed to record a 450% jump in email click-through rates by automating email marketing. Not only emails were sent to the targeted audience regularly, but the feedback was also collected continually which helped in perfecting the sales pitch. 

Not only did their technology automatically send those emails, but machine learning allowed them to analyze the feedback and improve its output to get even better results. If JP Morgan can achieve such highs using AI, what’s stopping you? You simply need to hire AI developers who can develop need-based AI agents to automate your sales-related workflows. 

#6- Recruitment 

Team building is a tough task and retaining good talent is even tougher. Nearly 90% of organizations are having a tough time filling open positions. When used appropriately, agents in artificial intelligence can: 

• Automate the recruitment process through and through. 
• Collect the resumes from different platforms
• Compare the applicant data with job requirements
• Schedule the appointments
• Conduct training, and do a lot more. 

From candidate profiling to onboarding training, they can handle every bit of the job and help enterprises hire candidates that match their requirements at a much-subsidized cost and time. 

#7- Supply Chain 

Supply chain disruption is a real challenge for businesses these days and 85% of organizations are planning to use AI to streamline it. By reducing human intervention in crucial tasks and optimizing the entire supply chain, agents in artificial intelligence have proved their excellence in trimming down supply chain disruptions. 

• AI agents are great in adaptive decision-making because they can dynamically adjust the supply chains when there are incidences of transportation or manufacturing delays. They can find alternative routes immediately and adjust the inventory allocation according to the current situation of a supply chain. 
• Promoting sustainability remains the priority of 48% of organizations and autonomous AI agents are capable of making it happen as well. AI agents assist in sustainable supplier selection by modelling supplier evaluation as a multi-agent system. 
• They can simulate buyer and supplier negotiations, examine suppliers according to sustainability parameters, and even handle data management based on real-time information. All these actions promote sustainability in the supply chain and make it less prone to disruption. 
• It’s easy for businesses to decentralize process management using AI agents and encourage smooth information flow between different departments. 

IT and Cybersecurity-Related AI Agents Use Cases 

The IT department of any enterprise is overburdened with responsibilities such as ensuring each department is well-connected, no cyberattacks are causing threats, data leaks are not happening, and the underlying architecture is constantly updated. Gladly, businesses can integrate AI agents in artificial intelligence in their IT departments and lower these overwhelming challenges. 

#8- Secure IoE Structure 

AI agents play a crucial role in enhancing the security and efficiency of the Internet of Everything (IoE) by leveraging artificial intelligence. They can keep an eye on all the internally and externally connected devices and: 

• Monitor the network traffic 
• Identify anomalies 
• Respond quickly to any threat 

Through the use of machine learning and deep learning, these agents strengthen the underlying security posture of the IoE ecosystem and ensure that it operates seamlessly. 

#9-Cybersecurity 

Human error is the root cause of 74% of data breaches and AI agents are of great help to lower this number. By eliminating human intervention from the cybersecurity landscape of an organization, these autonomous entities ensure that each component of an IT system is under constant monitoring for threat detection. They automate the entire process and detect dangers in real time. 

Not only they can detect, but also they can frame a remedial solution using historical cybersecurity data. They can prioritize risk, provide incident summaries for high-fidelity alerts, and automate incident responses. 

Finance & Accounting Related AI Agent Use Cases 

The future of finance & accounting is to control human intervention as much as possible so that this department has fewer errors, more accuracy, and the best possible transparency. This demand creates a huge demand for AI agent development for the finance & accounting department. 

#10- Workflow Automation

Do you know that 59% of accountants make several errors every month because they are overburdened? Auditing books, tracking transactions, and matching purchase orders is indeed a tedious task and can bog down accounts departments a lot. 

• Through the help of AI agents, you can automate journal entries and account reconciliations from beginning to end. You can capture transactions in real time from different departments and record all of them in a centralized place using the AI capabilities of the agents. 
• The average human-based invoice processing capacity is 5 per day, which is too low for a large-scale organization. And, these invoices are likely to have errors or missed entries. AI can automate the process of matching invoices to purchase orders, reducing errors and speeding up the invoicing process. If you’re having a tough time identifying use cases of these agents in your organization, you can hire AI agent consulting services. 

#11- Financial Reporting & Audits 

A single wrong entry in a general ledger account can give an entirely wrong idea of an organization’s financial status. Yet, errors in financial reports and audits are quite often. AI agents in artificial intelligence can improve the operational functionalities of the finance & accounting department of an organization in more than one way. 

• As these agents automate tasks like data entry, document review, and reconciliations. Auditors will have accurate data to process and set them free from the mundane job of data verification. They can shift their attention to other higher-value activities such as risk assessment and strategic planning.
• Agents in AI can facilitate continuous auditing and real-time monitoring of financial data and transactions. This way, an organization can identify any financial risk in its infancy stage and craft promising remedies. 
• Autonomous AI agents can handle a vast amount of data without any risk of missed entry, data duplication, and data manipulation. Because of this, financial auditing reports are likely to be highly accurate, informative, and enriched with detailed insights.  

That is the end of our top 10 AI agent use cases in different operational departments such as supply chain, HR, finance, and customer service. In each use case, AI agents offer significant potential to enhance workflow efficiency.

#12- Marketing & Sales 

Agents in AI can revolutionize marketing & sales-related workflows from beginning to end. The best example of this use case is Amazon. This leading organization is using AI agents to suggest products based on a customer's previous purchases, views, and searches.  

The e-commerce platform is taking the help of agents in artificial intelligence, uncovering hidden insights, and adjusting program actions, enabling businesses to make informed decisions and strategies. They keep an eye on market trends and change product prices accordingly.  AI-powered sales automation tools can aid sales teams in lead generation, prospecting, data extraction and customer outreach.

#13- Content Creation and Curation 

Content marketing is a key aspect of brand marketing and 83% of organizations are using it to promote brand awareness and customer outreach. However, the job itself is tiring. Agents in AI can save businesses from wasting crucial work hours in unproductive content marketing. 

They can automate the entire content creation process, promote creativity, and encourage the generation of relative content.  

They can analyze different customer profiles and design targeted content marketing campaigns. 

 Businesses can set up performance tracking for each campaign and track its performance. Agents in AI can analyze the performance data and figure out whether investing in a particular campaign has paid off well. This is a great aid in optimizing the content marketing cost.

#14- Business Management

Managing business effectively lays the foundation of a thriving venture. Yet, only 1% of businesses have the entire workflow under control. In the absence of proper management, businesses are struggling hard to allot the resources appropriately, use the workforce in its full capacity, and record positive growth.  

Agents in AI offer a dependable helping hand in this regard. By automating various key workflows and promote seamlessness, they can: 

• Set the workforce free from performing repetitive tasks 
• Increase accuracy and foster a data-based approach in decision making 
• Enforce quality control standards to ensure service delivery is up to the mark

#15- Project Management 

A total of 37% of projects fail because of poor planning, inadequate communication, and unclear goals. Organizations have a chance to reduce this failure rate by introducing agents in AI for project management. 

They can be programmed to accomplish perfection, with the least possible human intervention, in key project management activities. For instance: 

• They can conduct predictive analytics, predict project outcomes, and pinpoint potential risks by analyzing historical data and current project variables. 
• They can do resource allocation according to the immediate and futurist requirements of a project. This way, each project will have the right type of workforce working on it. 
• They can supply a tangible project execution roadmap based on the project goals, ethical considerations, and deadlines.

Build AI Agents The Right Way 

AI agents enable businesses to optimize processes, improve decision-making, and drive operational excellence. However, it’s essential to understand the underlying technology of AI development and use it the right way. 

At Ampcome, we possess an in-depth understanding of technologies like large language models (LLMs) and machine learning that lead to inventive AI agent development at an optimized cost. We know how to strike a balance between leveraging the technology's novel capabilities and adhering to best practices in human-computer interaction, natural language processing, and machine learning. 

34% of organizations are already using AI in any form. What are you waiting for? 

Book a free AI agent consultation and learn how this one entity can transform hundreds of your workflow instantly.

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