AI agents are transforming business operations by autonomously executing complex tasks. Beyond the industry buzz, they deliver quantifiable results that forward-thinking enterprise leaders can no longer ignore.

For decision-makers ready to move beyond speculation to implementation, the critical question becomes: "Where will these tools create the most immediate value?"

In this guide, we've discussed 26 proven applications in which AI agents have a tangible impact on enterprise operations and improve productivity. 

Let’s get started.

An AI agent is a software entity that acts autonomously to achieve complex goals and workflows with limited direct human intervention. It can understand context and instructions in natural language, set appropriate goals, reason through subtasks, and adapt decisions and actions based on changing conditions.

In an enterprise setting, AI agents streamline operations, improve productivity, reduce workload, allow operations to scale, improve employee experience, save organizational costs, and more.

According to a survey, as many as 82% of organizations expected to integrate AI agents in the next few years. Now is the time to explore how AI agents can streamline operations across different departments in your enterprise. The following sections cover the top use cases of AI agents for IT support, HR support, employee productivity, sales, and marketing.

AI agents significantly enhance IT support by automating routine tasks, improving response times, and enabling proactive issue resolution. Some significant IT support use cases that AI agents enable include, 

Automate password resets

Employees forgetting their passwords is one of the most common and repetitive issues that escalate to the IT support team. This distracts the IT team from focusing on important tasks.

With AI agents, employees can connect from their preferred channels and request password rest. AI handles this query autonomously by integrating with the identity and access management tool.

Provide 24/7 IT assistance

Unlike human agents, AI-powered virtual assistants operate round the clock, responding instantly to IT queries. These AI agents leverage NLP and contextual awareness to guide employees through troubleshooting steps. 

For example, if an employee has trouble connecting to the VPN and no IT staff is available, the AI agent can help them resolve their queries. 

Streamline user provisioning

When employees switch roles or departments, their user access must be updated to reflect new responsibilities. Manually adjusting permissions can be slow and error-prone. 

AI agents detect role changes in HR systems and adjust permissions accordingly. They revoke access to irrelevant applications while provisioning new tools and documents based on role-based access controls.

Automate IT ticketing

AI automates ticket creation, categorization, and routing by understanding the context of the issue and prioritizing based on urgency. 

If an employee submits a vague ticket, such as “Laptop not working,” AI analyzes the device's error logs, identifies a failing hard drive, assigns the ticket to the hardware support team, and notifies the user of an expected resolution time.

Automate software updates

AI agents continuously monitor enterprise systems and software to detect pending updates, security patches, and configuration changes, such as firewall activations. AI evaluates its urgency, security implications, and compatibility with existing systems when an update is required.

They automate the scheduling, validation, and deployment of updates and assess potential risks before rolling out patches to prevent system failures or compatibility issues. 

Automate basic troubleshooting

AI agents resolve common IT issues like Wi-Fi problems and printer errors. This reduces the burden on IT teams.

Suppose an employee’s laptop is unable to connect to the office Wi-Fi. The AI agent analyzes network logs, checks configuration settings, and automatically reconfigures the connection, restoring access.

Handle incidents proactively

AI detects anomalies in system performance, logs, and user behavior to identify and mitigate issues before they cause downtime.

For example, an AI agent can detect an unusual spike in CPU usage on a cloud server. Before the system crashes, it automatically reallocates resources, preventing service disruption.

Optimize IT asset and resource management

Keeping track of company devices is challenging, especially with remote employees. IT teams can’t always spot problems until they start slowing people down. AI agents help by monitoring device health in the background. 

If an employee’s laptop starts running slow, the AI agent checks for issues, finds that memory is low, and sends a quick message suggesting they clear up space or close unused apps. Instead of waiting for IT support, employees get a simple fix right away, helping them stay productive without interruptions.

Empower service desk agents

IT support agents spend excessive time searching for solutions—often reinventing fixes or resorting to inefficient methods like asking colleagues due to information silos.

AI agents eliminate this friction by unifying knowledge bases and enabling intuitive natural language searches.

If a service desk agent needs documentation on a server outage fix, they can simply query, “Show me past solutions for server outages. " The AI surfaces all relevant resolutions instantly, saving time and improving accuracy.

Enhance the knowledge base

The value of a knowledge base relies on its accuracy and up-to-date content. Even a minor change in documents or a troubleshooting guide must be updated immediately. Otherwise, it can cause delays and miscommunication, discouraging employees from using KB as a reliable source.

An AI agent continuously learns and monitors internal data streams, such as customer feedback and employee communication, and external sources, such as industry news.

When the AI detects relevant updates, such as new product information or changes in compliance regulations, it automatically updates the KB. This ensures that your employees always work with the most accurate information.

Monitor SLAs in real-time

Meeting service-level agreements (SLAs) is critical for enterprises. Failure to meet an SLA can result in financial penalties, contractual breaches, and a loss of trust from employees or clients.

AI agents continuously track every ticket’s progress, urgency, and SLA thresholds. If a high-priority ticket is approaching its resolution deadline and remains unresolved, the AI agent immediately escalates the issue and alerts IT managers, notifying them of potential SLA violations.

Gain insights and analytics into IT performance

IT leaders gain real-time visibility into key IT support metrics, including resolution times, open vs. resolved tickets, recurring issues, and total support sessions. AI agents analyze patterns to identify bottlenecks, optimize workflows, and track IT team performance against key metrics like Mean Time to Resolve (MTTR) and First Contact Resolution (FCR).

AI agents simplify HR workflows, improving employee experience and reducing administrative workload. Here are the use cases of AI agents in HR:  

Onboarding

HR teams working with AI Agents can:

• Help new joiners get access to software and credentials

• Help set up salary account details

• Collect and log employee information in your HRIS platform

• Help new employees find HR-related information like policies, benefits, and employee handbook. 

HR teams can also create custom agents for new employees based on their roles.

Let’s say a marketer has joined the company. HR teams can deploy a custom AI agent that grants access to marketing tools such as Google Analytics, creates their profile on HRSM platforms and shares credentials, collects account details, and enters them into the payroll management platform. The AI agent does all this with minimal human intervention. 

Offboarding

AI agents handle the entire offboarding process autonomously, ensuring compliance and efficiency. They:

• Initiate asset retrieval process for company-owned devices

• Process final payroll adjustments, including severance pay and benefits clearance

• Deactivate employee accounts and revoke system access

• Gather exit interview feedback 

This way, AI agents ensure that the offboarding process is thorough, secure, and hassle-free for employees and HR teams. 

Leave management

AI Agents automate the entire leave management process. Enterprises can deploy AI agents to channels like Slack, MS Teams, and chat widgets. 

Employees can easily converse with AI Agents from their preferred channel to check PTOs, submit leave requests, and receive manager approval through the same channel. All without any intervention from the HR staff. 

For managers, AI Agents provide clear and real-time visibility into team schedules. This ensures adequate staff coverage and minimal disruptions in daily operations. 

Policy retrieval

Employees struggle to find HR policies when buried in outdated portals or long handbooks. AI agents make this easier.

With AI agents, employees can ask questions in plain language, like “What’s our remote work policy?” or “How do I file for reimbursement?” and get an accurate response.

AI agents also update policies so employees can access the latest workplace information without digging through outdated resources.

Expense management 

Tracking and processing employee expense claims can be tedious, requiring multiple approvals and policy checks. AI agents automate expense management, allowing employees to:

• Submit claims via a chat interface, selecting categories like travel, meals, or office supplies

• Upload receipts directly, which AI agents verify for authenticity and policy compliance

• Automatically validate expenses against company guidelines before routing them for approval

For managers, AI agents flag non-compliant claims, track approvals, and provide spending insights, reducing manual errors and unnecessary delays.

Payroll processing

While processing payroll, AI Agents help HR teams save time and labor by quickly handling complex scenarios, such as tax adjustments, overtime calculations, loss of pay deductions, or benefits deductions, with minimal HR intervention.

AI Agents enable employees to instantly download their payslips, track payments, and resolve payroll-related queries through the AI chat interface.   

By handling tasks like email management, document creation, scheduling, and report generation, AI enables employees to focus on important tasks. 

Email assistant

Employees drown in a sea of emails every day, struggling to respond, prioritize, and extract key information. 

AI agents categorize messages, summarize lengthy emails, prioritize urgent tasks, and suggest replies based on past interactions. They can also auto-schedule meetings, extract key action items, and filter spam, ensuring employees focus only on relevant emails. 

Document generation

AI agents streamline this process by automatically drafting, formatting, and structuring content based on templates and previous documents. 

Employees just have to provide a short prompt or key details, and the AI agent generates professional, polished content with accurate data.

Calendar assistant

For employees, managing meetings, deadlines, and schedules can be tricky, especially when working with multiple teams and time zones. 

AI calendar assistants eliminate the hassle of scheduling back and forth by checking availability, suggesting ideal meeting times, resolving conflicts, and setting reminders. 

AI agents can block focus time, schedule breaks, and prioritize tasks, helping employees stay organized and maintain a balanced workload without constantly rearranging their day.

Report generation

Employees no longer need to sift through spreadsheets or manually interpret raw data. 

AI agents extract real-time data from multiple sources, analyze trends, and generate comprehensive reports automatically. They can highlight key performance indicators (KPIs), provide predictive insights, and recommend data-driven actions. 

Whether it’s marketing analytics, financial summaries, or operational performance reports, AI reduces the time spent on manual reporting, allowing employees to make faster, more informed decisions without drowning in data.

From scheduling calls to updating CRMs, AI agents allow sales and marketing teams to focus on personalizing messaging, building relationships with prospects, and closing deals rather than handling administrative work.

Schedule calls

Sales teams juggle with manually coordinating timezones and prospect availability.

AI-powered scheduling assistants automate this process by analyzing calendars, detecting open slots, and suggesting the best meeting times for both parties. These AI agents integrate with CRM systems and email platforms, automatically sending invites and reminders to prevent no-shows.

Gather account information

AI agents help sales and marketing teams gather, analyze, and enrich lead or account data in real-time, eliminating the need for manual research. 

AI scrapes data from multiple sources, such as social media, company websites, and public records, to provide a comprehensive profile of potential customers, including their industry, company size, past interactions, and pain points. 

These AI-driven insights help teams personalize outreach and tailor pitches, improving the likelihood of conversion.

Update CRM

AI agents automate CRM updates by logging interactions, transcribing call notes, tracking email conversations, and categorizing leads based on their engagement level. 

After a sales call, AI automatically extracts key details, updates contact records, and assigns follow-up actions. Marketing teams can also use AI to track customer engagement across campaigns and sync this data to the CRM, ensuring sales teams have a real-time view of lead behavior and intent.

Build nurture sequence

Lead nurturing is the process of engaging prospects over time with relevant content and interactions until they are ready to purchase. But, designing and executing nurture sequences manually is tedious. 

AI agents automate this process by segmenting leads based on their interests, engagement levels, and past behaviors, then triggering personalized email workflows. 

They analyze response rates, adjust messaging, and predict the best follow-up times. This way, your leads will receive the right content at the right time, increasing engagement and conversion rates.

So far, we’ve looked at the use cases of AI agents you could explore for your enterprise. We have an example to give you a quick overview of how AI agents are used in the real world. 

GoTo uses AI assistants to automate IT support

GoTo is a software-as-a-service (SaaS) provider of cloud-based remote work tools for collaboration and  IT management products. They leveraged Workativ to help automate IT tasks such as installing software, resetting passwords, unlocking accounts, and distributing lists, among other 50+ applications.  

GoTo’s team used the platform to build AI assistants that even a non-tech-savvy person could use easily. This helped their employees solve their problems instantly without any technical setbacks. 

This collaboration with Workativ helped GoTo improve metrics like MTTR and FCR, reduce downtime, automate repetitive tasks, provide omnichannel support, and improve overall employee satisfaction.

AI agents play a direct role in business growth by working 24/7, automating tasks, and reducing manual workload. AI agents offer several other key benefits: 

• Reduced costs: AI agents execute complex, multi-step tasks that would otherwise require human involvement. Whether resolving IT tickets or answering common HR questions, they handle them precisely, reducing the need for additional hires and minimizing downtime-related expenses.

• Improve user experience: AI agents deliver more personalized and prompt interactions. Users don’t have to repeat the same information or wait for multiple approvals. The AI agent seamlessly plans each step for resolution, aligning with the user’s and organization’s best interests.

Better decision-making: AI agents process large amounts of structured and unstructured data and provide real-time analytics into business functions. This helps business leaders tap deeper into insights, find areas for improvement, and make informed decisions.

AI agents are evolving from basic chatbots into autonomous systems capable of handling complex workflows, adapting in real time, and seamlessly integrating with enterprise ecosystems. 

The market for AI agents is projected to grow at a 44.8% CAGR over the next five years, reflecting increasing adoption across industries.

Future AI agents will process multiple data types simultaneously, including text, voice, images, and structured data. They will retain context over extended periods, remembering past interactions, project details, and organizational knowledge to deliver more personalized experiences. 

However, Agentic AI is still in its early stages. Enterprise leaders must enforce strict guidelines, ensure high-quality training data, maintain governance and transparency, and conduct regular audits to align AI agents with organizational standards.

Workativ is a no-code AI agent platform that offers enterprises an intuitive drag-and-drop interface for building and deploying AI agents. 

Our Knowledge AI feature lets you connect internal knowledge bases, HR portals, CRM systems, ITSM tools, and third-party applications. Using this feature, AI agents can retrieve relevant data in real-time, ensuring employees receive instant, accurate responses.

Workativ connects with popular enterprise tools such as Zendesk, Jira, BambooHR, and Workday through API and connectors, utilizes reasoning layers, and enables enterprises to fully automate multi-step processes like onboarding, leave management, and IT ticketing.

Want to embrace AI agents and elevate your enterprise operations? Book a demo now.

What are AI agents?

An AI agent is a software entity that acts autonomously to achieve complex goals and workflows with limited direct human intervention. It can understand context and instructions in natural language, set appropriate goals, reason through subtasks, and adapt decisions and actions based on changing conditions.

What are the key features of top AI agent platforms?

Leading AI agent platforms include no-code interface, natural language understanding, workflow orchestration, advanced reasoning, and enterprise integrations. They provide analytics for continuous improvement, maintain security standards, and incorporate error handling to ensure reliable operations.

Where are AI agents being used?

AI agents are used for various purposes, including IT support, sales, marketing, HR support, customer support, employee assistance, finance, e-commerce, and healthcare. They handle tasks like password resets, employee onboarding, expense approvals, CRM updates, scheduling, and customer inquiries.

Will AI agents replace human jobs?

No, AI agents will collaborate with your employees, not replace them. They handle repetitive tasks, allowing employees to focus on higher-value work like strategy, customer relationships, and decision-making.

Which is the best AI agent platform?

The best platform depends on business needs. Workativ is a top choice for enterprises, offering no-code AI agent development, seamless integrations with ITSM, HR, and CRM tools, and automation for multi-step processes.