Curious about how agentic AI can transform your workplace? If you’re trying to figure out the practical applications of agentic AI and evaluate its ROI for your organization, then these real-world examples can help to provide some much needed clarity.
Agentic AI refers to artificial intelligence systems that are capable of independently pursuing goals and managing complex workflows with minimal human oversight. These AI systems are highly adaptive and can understand user needs based on business context, then autonomously formulate a plan and take specific real-world actions to accomplish those goals.
Let’s explore five compelling use cases of agentic AI at work to better understand its transformative ability to impact efficiency, productivity, and integration across various business operations. Discover how these diverse applications can help you uplevel your productivity and harness the full potential of agentic AI for your enterprise.
How agentic AI differs from other AI
You’ve probably already used different AI tools in your work, like conversational AI chatbots, smart assistants or copilots, that are able to answer questions, give recommendations, recognize images, or help manage schedules.
However, agentic AI can go well beyond standard AI abilities. That’s because AI agents are engineered to autonomously execute intricate, multi-step processes with little supervision. Unlike many chatbots or generative AI tools, which respond to user inputs based on predefined rules, AI agents can assess their surroundings, make decisions, and proactively work towards the goals set by users.
Perhaps that’s why AI agents’ popularity is increasing over standard AI solutions, with one report finding over 50% of respondents are using some form of agents today.
AI Agents in IT
Agentic AI in IT empowers organizations to become more proactive and efficient, helping to resolve many common IT issues before they escalate, which can relieve a significant workload off IT’s shoulders.
While standard AI often follows set troubleshooting scripts, agentic AI can dynamically adapt to new issues. It can integrate data from various IT management systems, learn from previous incidents, and modify its problem-solving approach autonomously, resulting in faster and more accurate resolution of IT tickets.
And for repetitive tasks in IT service management like password resets and software access, agentic AI goes beyond standard AI tools to deliver a higher degree of personalization, tailoring access permissions, and provisioning solutions based on individual user behaviors and patterns.
Power Design deploys conversational copilots
Power Design deployed an AI copilot they’ve named HelpBot to give employees a self-service option for common tasks like password resets and device monitoring. HelpBot uses natural language processing (NLP) to understand users’ requests, meaning employees interact with it in a conversational manner, just like they would a coworker. It can accurately determine what employees need and how to fulfill those needs.
In addition, HelpBot can learn from new data and interactions, enabling it to automate more tasks and processes over time. As a result, Power Design employees now enjoy:
- Autonomous self-service: Instead of relying on an IT team member to get back to a request, Power Design’s HelpBot can autonomously respond to issues with minimal human supervision.
- Data integration and proactive resolution: HelpBot integrates with various systems to pull necessary data and resolve tickets efficiently, enabling it to proactively problem solve rather than simply react to them.
- Complex task automation: HelpBot goes far beyond handling common issues like password resets, since agentic AI allows HelpBot to also automate complex tasks. It does this by using reasoning and integrating with data sources and applications across departments, giving Power Design’s team more time to focus on more impactful work.
See how this strategic initiative allowed PowerDesign to automate over 1,000 hours of complex tasks.
AI agents in human resources
Using AI agents for human resources can help organizations go beyond standard AI tools with autonomous decision-making, personalization, and dynamic real-time employee support. This enables your HR team better streamline core processes, speed up routine tasks, and create a more responsive employee experience.
These agents automate routine work while also providing personalized responses for employees, such as responding to benefits questions or assisting with onboarding paperwork, freeing up HR professionals to focus on strategic priorities like talent development and organizational planning. For growing businesses, this can lead to efficient, scalable, and cost-effective HR operations.
Take resume analysis, for instance. Instead of HR manually reading dozens or even hundreds of resumes, AI agents can identify top candidates based on the job criteria. They can also answer candidate questions or automatically schedule interviews with the top applicants.
Agentic AI can also help streamline internal operations by assisting employees with questions about paid time off, company policies, benefits, and more.
How Palo Alto Networks provides autonomous employee support
Palo Alto Networks faced challenges transitioning to a hybrid workforce, with HR juggling an in-person team and employees working remotely around the world. Using agentic AI, the organization created an AI agent roadmap and built a program called FLEXWORK (nicknamed Sheldon) that provides personalized employee support.
Leveraging Natural Language Understanding, Sheldon interacts with employees conversationally, understanding their intent and context to provide meaningful responses within seconds and talking to employees like a human agent would.
But what sets Sheldon apart is its decision-making capabilities. Instead of reciting answers from pre-programmed scripts, Sheldon can autonomously evaluate each user request and determine the most relevant answer or solution. This blend of reasoning and judgment allows Sheldon to adapt to different situations and provide personalized support. In other words, Sheldon doesn’t just react—it ‘thinks’ and solves problems on its own, meaning minimal human intervention needed.
Plus, employees don’t have to stop what they’re doing and navigate to a specific platform to access Sheldon, since it can take user questions directly through messaging platforms to meet employees where they already are.
AI agents in finance
Financial institutions can be hesitant to new technology and automation, often due to regulatory and privacy concerns. But agentic AI for finance is breaking down those barriers, helping institutions confidently and securely enhance their operational efficiency by reducing manual workloads and accurately analyzing large amounts of financial data.
Instead of manually handling routine tasks like expense reporting, compliance checks, and other financial reporting, organizations can leverage AI agents to generate these reports automatically.
Agentic AI systems search through databases and other real-time information sources to analyze large amounts of data in a fraction of the time it takes human analysts. This means your enterprise can get instant access to the most up-to-date information and generate audit-ready reports for data-informed decision-making.
Bud Financial automates the customer experience
As a leader in banking technology, Bud Financial helps consumers make smart financial decisions and better manage their money. The company added agentic AI to the consumer side of its business to enhance the customer experience with proactive, autonomous money management.
Bud Financial’s agentic AI solution can learn about each customer’s financial history, position, and goals, then carry out tasks on their behalf to help improve their finances. For example, it can transfer money between accounts to prevent overdraft fees or even take advantage of higher interest rates.
The solution is poised to save banking customers thousands in overdraft fees while enabling better financial health and inclusion.
Agentic AI in security
In addition to IT support, agentic AI is playing an increasingly critical role in enhancing security measures within organizations. Agentic AI enables security teams to help predict and proactively address quickly evolving and looming security threats.
According to the NCSC, “AI can make cyber attacks… more impactful because threat actors will be able to analyse exfiltrated data faster and more effectively, and use it to train AI models.”
That said, it’s not just one-sided. AI agents can also be used to continuously monitor network traffic and analyze evolving patterns to identify potential threats—something a human team may struggle to handle at scale. AI agents can continuously monitor network traffic 24/7 to detect suspicious traffic patterns, and are able to trigger automated responses, such as isolating impacted systems or initiating alerts to relevant teams so they can take a closer look.
How Darktrace uses agentic AI in cybersecurity
Darktrace, a leader in cybersecurity, leverages agentic AI to continuously monitor enterprise network traffic and detect complex cyber threats. Darktrace's AI agents autonomously identify and respond to previously unseen cyber-attacks in real-time by using AI algorithms modeled on the human immune system.
Their advanced approach not only provides immediate threat detection but also helps in mitigating potential damages, ensuring long-term security for organizations.
Darktrace AI hunts for anomalies within the network and applies advanced machine learning techniques to decide the best course of action, allowing human security teams to focus on high-level strategy and critical interventions.
By automating routine surveillance and threat detection tasks, agentic AI enables security teams to focus on more complex issues, thereby enhancing overall organizational security. The way Darktrace utilizes agentic AI has been referred to as the “Cybersecurity of the Future” by Harvard Business Journal.
AI agents in engineering
AI agents also help engineering teams move faster and work smarter by automating common engineering tasks, optimizing resource allocation based on real-time project demands and team capabilities, identifying issues before they escalate, and streamlining time-consuming processes. These agentic AI assistants can operate around the clock and continuously learn from project data to identify inefficiencies and suggest process improvements, meaning engineers can focus on big-picture projects instead of routine tasks and project management.
For example, AI agents can immediately detect outages or bottlenecks instead of waiting for them to be reported to engineering teams. It also helps them streamline access management and provisioning —ensuring engineers can quickly access to cloud containers, databases, and other cloud resources through task automation. —enabling your engineers to be more productive.
Additionally, AI agents can help with development tasks like code generation, software deployment, and troubleshooting. This enables engineers to rapidly accelerate software development cycles, improve productivity, and continuously innovate—without sacrificing quality.
Jamf using agentic AI to automate provisioning
Jamf is a device management company that uses agentic AI to provide employees with instant access to software. Staff members no longer have to call engineering to get support—instead, they can ask for help from an AI copilot named Caspernicus.
Caspernicus operates directly in Slack, allowing employees to get immediate help through a familiar interface that they already use every day. By chatting and using natural language to describe their needs, this reduces friction in the support process and ensures every department, from HR to facilities, has the tools they need, improving employee satisfaction and productivity.
In addition, Caspernicus is fine-tuned to Jamf's specific needs and continuously learns and adapts over time, delivering long-term value. Now, over 70% of Jamf employees regularly use Caspernicus for instant software support, whenever and wherever they need it.
Read the case study to learn more about how Jamf created Caspernicus.
AI agents in customer service
Acquiring customers costs five times more than retaining them according to Forrester. That’s why many companies are leaning on intelligent agents to ensure their customers are getting the help they need and staying satisfied.
AI agents enable customer support teams to deliver faster, more personalized service by automating routine questions and ensuring service representatives always have the right information at their fingertips.
Instead of digging through datasets and documentation, representatives can ask their AI agents to retrieve what they need, helping them resolve issues quickly and efficiently. As a result, the customer experience is improved, team productivity is increased, and agents can handle a higher volume of requests without sacrificing quality.
An AI agent can also triage requests and ensure that complex queries requiring human intervention are routed to the appropriate department. Instead of getting passed along to different representatives and having to reiterate their issue over and over, customers get the right support, right from the start.
In addition, customers can use AI-powered chatbots to get answers to common questions instantly at any time, without waiting for a representative. This combination of speed, accuracy, and customer context reduces friction and increases the speed and quality of support.
How Achieve deployed an agentic AI-powered copilot
Achieve, a forward-thinking financial services company, has always prioritized innovation to enhance both customer and employee experiences. To better streamline its internal operations, enable self-service support, and help its employees deliver customer support excellence, the organization implemented an AI copilot named Alfred.
Integrated into Slack, Alfred provides Achieve employees with a straightforward way to get help with common IT issues, without having to call the service desk or navigate complex portals. Alfred boosts productivity and enables team members to focus on their core responsibilities, rather than IT headaches, by providing:
- Instant, automated problem resolution: Whether it’s password resets or software provisioning, employees can use simple everyday language to describe what they need. Alfred can then autonomously handle the issue, or if the task requires more nuanced intervention, connects them with a human expert.
- 24/7 self-service: Alfred enables employees to solve many issues, day or night, through intuitive, self-service options. This reduces the reliance on IT teams and helps employees resolve problems quickly, allowing them to continue serving customers without delays.
- Improved operations: By taking a lot of manual, routine work off IT’s plate, Alfred helps Achieve’s service team operate more efficiently. This means they can focus on keeping services online, providing new features, and advancing the company's product offerings.
Learn how Moveworks Agentic Copilot can support your enterprise operations
Today’s agentic AI goes far beyond simple AI tools of the past that focused on narrow, specific tasks and simple workflows. Agentic AI evaluates its environment, decides on the best actions, and actively pursues the objectives established by users, meaning it can autonomously carry out complex business processes, optimize operations, and ultimately help to transform how enterprises function.
And the power of agentic AI isn't limited to just tech companies or IT departments—everyone can use these advanced AI capabilities to automate tasks, analyze data, streamline operations, and enhance both the customer and employee experience.
Moveworks provides an effortless way to utilize agentic AI throughout your organization with Moveworks’ AI Copilot. Copilot integrates across business systems and departments and acts as a single point of entry for employee requests, whether it's accessed via web browser or messaging program. Constructed on an Agentic Automation Engine, Moveworks’ Copilot enables you to maximize the potential of AI agents, making it seamless for your company to design and implement your own AI automations.
Ultimately, by integrating various AI agents across IT, security, HR, sales, finance, customer service and engineering teams, businesses can achieve an unprecedented level of automation that helps to enhance their operational efficiency and enables cost reductions too.
Ready to see how your enterprise can use agentic AI? Download our guide to getting started with agentic automation or sign up for a demo today.
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