Artificial intelligence is already transforming the world as we know it – but now, agentic AI is taking this technological revolution to the next level. Agentic AI is capable of autonomous operation. In other words, it can learn, adapt, make independent decisions, and act on multi-step processes based on real-time context and data. In the world of healthcare, agentic AI offers virtually limitless possibilities. 

Agentic AI solutions are transformative when it comes to medical efficiency, accuracy, and decision-making. These tools can help medical professionals and healthcare systems deal with some of the biggest problems in this sector today: data overload, system fragmentation, and care plan implementation and adherence. 

With industry-leading agentic AI solutions like Atera’s Action AI™, we are already seeing staggering impacts of agentic AI improving IT automation in healthcare. Today, we’re covering some of the key agentic AI applications in healthcare and how agentic AI tools can revitalize this crucial industry. 

1. Automated IT support and incident resolution

Agentic AI applications in healthcare help to ensure seamless healthcare IT operations with autonomous troubleshooting and issue resolution. In some cases, conversational AI healthcare bots can help users solve routine IT problems, reducing ticket volume and improving resolution rates. By reducing the load for human employees and automating repetitive tasks, these tools make the whole system more efficient, productive, and effective. 

Companies like Atera have premiered purpose-built systems geared specifically toward implementing AI to improve IT support and incident resolution in healthcare settings. Our healthcare industry tools help IT teams in this vertical centralize control, automate routine tasks, and leverage AI to improve efficiency and patient outcomes. 

2. Intelligent patch management and system updates

When it comes to healthcare, keeping systems secure and up to date is paramount. Healthcare organizations handle troves of sensitive data, making it more important than ever to prioritize patch management and security. 

With agentic AI tools, you don’t need human intervention to conduct routine patch management and deploy new patches. Agentic AI tools will be able to take over these tasks, freeing up time for your IT team and keeping your network and IT environment more secure than ever before. 

Source: Atera

3. Predictive maintenance for medical equipment 

Agentic AI is capable of asset management functions that go above and beyond the dated, manual methods that many healthcare organizations continue to rely on. These AI agents can identify and resolve potential failures in critical healthcare technology before they become urgent issues. 

AI inventory management tools can also help monitor usage of equipment to determine when items need to be replaced and help with budget allocation decisions that will help hospital boards plan better for the future. 

4. AI-powered cybersecurity for patient data

With agentic AI applications come numerous possibilities in the realm of AI-powered cybersecurity. Healthcare is one of the top industries likely to be targeted by cyber attacks due to the sensitive nature of medical records. AI-powered cybersecurity can help your organization embrace a more proactive security stance that can help detect, isolate, and mitigate breaches – oftentimes, before any damage to trust and reputation is done.

IBM reports that the average cost of a data breach in 2024 was $4.88 million, a number that reminds us just how important strong security systems are. Agentic AI tools leverage capabilities like behavioral analysis, attack surface management, adaptive cyber defense, and many others to make your shield against malevolent actors even stronger. 

5. AI-assisted diagnostics and medical imaging

Agentic AI tools are transforming diagnostics, offering unparalleled speed and accuracy in diagnosing medical concerns. With real-time AI analysis, we expect to see big impacts in radiology, pathology, and early disease detection. How? AI agents can analyze massive datasets of medical images at unprecedented speeds while also considering patient histories and other research.

In tandem, these efforts assist providers in making more informed and accurate diagnoses. This in turn builds higher levels of patient satisfaction and has the potential to help patients access lifesaving care more quickly than ever before. 

Source: National Institute for Health and Care Research

6. Virtual health assistants and patient support

Agentic AI applications in healthcare have opened up a new world of possibilities for AI-driven chatbots and virtual assistants for patient engagement and remote monitoring. Agentic AI tools can leverage conversational AI to interact with patients and discuss symptoms or side effects using natural language processing models. 

Additionally, agentic AI tools for healthcare are trained on huge data sets that can help these tools detect any anomalies in patient vitals or other factors, alerting health care professionals to potential issues before they occur. 

7. Autonomous drug discovery and development

The discovery and development of new medical drugs is typically a lengthy and costly process. However, new agentic AI models will make it possible to accelerate research with AI-powered simulations and advanced molecular analysis. 

These AI agents can be trained on vast data sets that will allow them to predict drug interactions and even simulate clinical trials to reduce both the time and cost associated with bringing new treatments to market.

8. Personalized treatment and precision medicine

One of the key agentic AI applications in healthcare is using AI-driven insights to yield higher levels of personalization for treatment and medication. These insights allow providers to tailor treatments to individual patients based on both genetic and clinical data as well as information about factors like lifestyle and medical history. 

The results? More customization and personalization in the medical field leads to more effective treatments and better patient outcomes. The use of AI agents also yields positive impacts in terms of treatment efficacy, side effect management, dosage accuracy, and patient compliance. Patients are treated better and more accurately, and are thus happier and healthier.

9. Automated hospital workflow management

One of the biggest problems in the healthcare industry today, according to GE Healthcare, is the backlog of paperwork and overwhelming cognitive load of administrative tasks for medical professionals. Agentic AI can automate many routine tasks, such as staff scheduling, patient flow, and resource allocation. This frees up healthcare professionals to focus on patient care and significantly improves operational efficiency while reducing administrative burdens. 

Automated hospital workflow management is one of the most promising areas of agentic AI applications in healthcare. By making the system as a whole more efficient and automating mundane tasks that take away attention from critical care, agentic AI is expected to make the healthcare system run more smoothly and lead to better care for patients across the globe. 

10. AI-powered robotic surgery assistance

Robot-assisted surgery is considered to be one of the most valuable and important agentic AI applications in healthcare, according to Harvard Business Review’s analysis (as seen below). 

These tools can support surgeons with real-time data, precision movements, and autonomous adjustments. Recent research into this topic from the National Institute of Health (NIH) suggests that agentic AI applications in robotic surgery can also be extremely useful for training the next generation of surgeons and ensuring a high-quality healthcare system for years to come. 

Source: Harvard Business Review

Discover the power of agentic AI in your healthcare practice

Agentic AI is set to have an exponential impact when it comes to the world of health care. From helping to streamline workflows and overhaul IT support and incident resolution to providing predictive, customizable care for patients, agentic AI is set to infiltrate every aspect of this life-saving industry. When agentic AI tools automate routine tasks and help providers give more informed and accurate diagnoses and care, everyone benefits – patients most of all! 

IT automation is a critical part of the healthcare industry transformation, as it will allow organizations to keep up with the demands of increased efficiency. Shying away from introducing agentic AI tools to your workplace is a surefire way to fall behind – instead, opt for easy-to-learn tools like Atera’s Action AI that can help you take control of efficiency and productivity in your organization. Our purpose-built tools are made to make your life easier. 

Our Copilot tool offers AI-powered ticketing, automation, and predictive analytics – plus, enjoy advanced functions like remote session summaries, command-line generation, real-time device troubleshooting, instant ticket summaries, script generation, knowledge base connection, and more. So what are you waiting for? Don’t let your IT team fall behind. Instead, try out our AI-powered IT management solution for free with a 30-day free trial – no credit card required.

AI is evolving beyond simple automation. In 2025, agentic AI will drive the next wave of technological breakthroughs. If you’re wondering how agentic AI and generative AI (or other types of less advanced AI) compare, agentic AI can independently plan, adapt, and execute complex tasks. 

Other types of AI still rely on pre-programmed rules and user input, while agentic AI operates with greater autonomy, making real-time decisions and continuously learning from its environment.

This shift will be transformative across just about any industry imaginable, but the impact of AI in ITSM, cybersecurity, finance, and healthcare will be the most evident. That’s because these industries are very competitive, demanding smarter, more proactive solutions.

Considering that, according to Gartner, 33% of enterprise software applications are expected to include agentic AI by 2028, there’s still more room to grow before we see the peak of what’s possible with AI.

So, from AI-powered IT assistants to autonomous AI robotic solutions, here are 21 of the most innovative agentic AI products set to redefine the tech landscape in 2025.

AI for IT & automation

1. Atera Autopilot

Atera Autopilot is leading the IT automation charge through the power of agentic AI, enabling IT teams to operate more efficiently than ever before. Unlike traditional automation tools, Autopilot autonomously handles repetitive tasks, streamlines workflows, and optimizes ticket management—freeing IT professionals to focus on more strategic initiatives.

By continuously learning from past interactions and adapting to new challenges, Atera Autopilot acts as a proactive IT assistant, reducing downtime and enhancing service quality. As IT environments become more complex, Autopilot ensures that IT teams can stay ahead, delivering smarter, faster, and more reliable support.

Autopilot is a part of Atera’s Action AI™, which uses agentic AI to transform the way IT management happens for both end users and IT technicians.

2. Microsoft Copilot+

Microsoft Copilot+ enhances IT management with AI-driven automation, assisting with troubleshooting, documentation, and workflow efficiency. Microsoft Copilot+ also helps IT pros with AI-powered content generation, summarization tasks, and automating mundane tasks.

Microsoft Copilot, as you can probably guess, is heavily integrated into Microsoft’s ecosystem. While it helps IT teams streamline operations through intelligent recommendations, its deep integration with Microsoft products makes it most beneficial for organizations already within that environment.

3. ServiceNow Autonomous AI

ServiceNow Autonomous AI automates IT service management by handling ticketing, workflow automation, and predictive issue resolution. It helps IT teams manage incidents faster by detecting patterns and automating common support tasks.

While the tool can help transform an IT team, its only available to companies who use ServiceNow’s broader ITSM suite. So, for those that are already using ServiceNow, this tool is a no-brainer. For those considering trying ServiceNow out, many users have shared that ServiceNow is an expensive ITSM tool with a challenging learning curve.

4. IBM WatsonX Agent

IBM WatsonX Agent is a more general AI assistant that can be used for IT automation and security. It uses a mix of agentic AI and generative AI to analyze system data, detect security vulnerabilities, and assist with troubleshooting. It can optimize IT workflows by automating routine administrative tasks and providing AI-powered insights into system performance.

IBM WatsonX offers out-of-the-box solutions for AIOps, but these each come with their own pricetag. For teams that are looking for full AI functionality, IBM WatsonX can get very, very expensive.

General agentic AI products

5. Google Gemini 2.5

Google has proven that they’re committed to pushing AI to its limits with the release of Gemini 2.5, powered by agentic AI. Gemini 2.5 is a chatbot product that uses agentic AI to reason through issues before delivering an output.

This helps it produce much more accurate results, especially when working through coding issues, as it’s able to consider in real-time what may be the solution. Gemini 2.5 has been developed with software engineers in mind, but it’s proving to be a useful tool for all sorts of use cases.

6. OpenAI O-Series

The OpenAI O-Series (which currently consists of o1, o1-mini, o3, and o3-mini) represents the next evolution of agentic AI, designed to handle complex, potentially multi-step tasks autonomously. Leveraging advanced natural language processing and multimodal capabilities, these models go beyond simple prompts, enabling dynamic problem-solving, workflow automation, and intelligent decision-making.

The O-Series is expected to further drive advancements in research, business automation, and creative applications, offering a more adaptive and self-directed AI experience that integrates seamlessly into diverse industries.

AI in cybersecurity

7. CrowdStrike Falcon AI

CrowdStrike Falcon AI enhances cybersecurity measures through agentic AI by detecting and escalating necessary threats in real-time. It automates security monitoring, analyzes behavioral patterns, and helps IT teams stop breaches before they escalate.

While it provides strong endpoint protection, it’s only available for use within the CrowdStrike ecosystem, making it an expensive solution that only covers you when it comes to cybersecurity.

8. SentinelOne Singularity

SentinelOne Singularity is a new tool that uses agentic AI to automate endpoint security, providing real-time threat detection, automated response, and predictive analytics. It autonomously mitigates risks by identifying suspicious activity and isolating compromised systems.

It reduces the need for manual intervention and can help IT teams save a lot of time, but their agentic AI-powered Security Operations Center (SOC) is an additional add-on ($) with any of their plans.

9. Microsoft Defender XDR AI

Microsoft Defender XDR AI uses a mixture of agentic AI and generative AI within its extended detection and response system, helping IT teams analyze security incidents across multiple endpoints, cloud environments, and identities.

It provides autonomous threat intelligence and response capabilities, but like other Microsoft AI tools, it’s most effective when paired with Microsoft’s security stack, limiting flexibility for organizations using mixed IT infrastructures.

10. Palo Alto Networks Cortex XSIAM

Palo Alto Networks Cortex XSIAM leverages agentic AI to transform security operations by automating threat detection, response, and investigation. By analyzing vast amounts of security data, it helps IT teams identify vulnerabilities, prevent breaches, and accelerate incident resolution.

A cool feature of Cortex XSIAM is the ability to bring along your own AI. For companies that want to custom-build their own AI cybersecurity solution, Cortex XSIAM is a great choice.

Experience a complete RMM tool for unlimited endpoints

While dedicated AI cybersecurity tools like CrowdStrike Falcon AI and Microsoft Defender XDR specialize in identifying and mitigating threats, IT automation solutions like Atera Copilot can automate patch management, enforce security policies, and streamline routine maintenance.

Atera helps IT teams proactively close vulnerabilities before they can be exploited—enhancing overall cybersecurity resilience. And for companies with a tighter IT budget, Atera doesn’t charge by the endpoint, like most other AI cybersecurity tools.

AI in Healthcare & Biotech

11. DeepMind AlphaFold 3

DeepMind’s AlphaFold 3 (built by Google) builds on its groundbreaking predecessor, pushing the boundaries of AI-driven protein structure prediction. By providing highly accurate models of protein interactions, it has the potential to accelerate drug discovery, genetic research, and disease understanding.

AlphaFold 3 continues to help scientists make groundbreaking discoveries in the field of computational biology, offering scientists an invaluable tool for unlocking the mysteries of molecular structures.

12. NVIDIA Clara AI

NVIDIA Clara AI applies agentic AI to healthcare through advanced imaging analysis, predictive modeling, and drug development acceleration. It powers AI-enhanced medical imaging tools, helping radiologists and researchers detect abnormalities more efficiently.

Beyond medical imaging, NVIDIA Clara AI accelerates drug discovery with AI-driven simulations and enhances digital health by streamlining clinician-patient interactions. It also powers AI-enabled medical devices for real-time diagnostics and supports genomics research with GPU-accelerated DNA analysis, optimizing speed and accuracy in healthcare innovation.

13. Suki AI Assistant

Suki AI Assistant is transforming medical documentation with its AI-driven voice recognition technology. Designed for healthcare professionals, it transcribes, summarizes, and organizes patient notes in real time, reducing administrative workload and freeing up more time for patient care. By integrating natural language processing, it helps doctors and nurses complete paperwork faster without compromising accuracy.

Suki can save healthcare staff valuable time by completing a variety of tasks autonomously, like ordering labs, setting up follow-up visits, and sending appointment reminders.

AI in Finance & Business

14. BloombergGPT

BloombergGPT is a highly-specialized large language model tailored specifically for the finance industry. It’s designed to process vast amounts of market data, generate insights, and assist with financial analysis.

It enhances the decision-making process for finance professionals by providing AI-driven reports, automating financial queries, and streamlining market research. BloombergGPT helps a finance professional spend less time combing through mountains of data, and more time making critical investment decisions.

15. Meta Business AI

Meta is developing a new tool currently referred to as “Business AI”, which aims at enhancing customer interactions across its platforms, including Facebook, Instagram, and WhatsApp. These AI agents are designed to automate customer service requirements throughout the customer journey, assisting businesses in automating responses, managing inquiries, and providing personalized support.

16. UiPath AutoPilot

UiPath Autopilot™ is an agentic AI-powered companion that integrates within the UiPath Business Automation Platform, designed to enhance productivity for employees of all roles. With agentic AI, Autopilot assists users in automating tasks through natural language interactions, simplifying complex workflows, and providing intelligent recommendations.

Its seamless integration across a wide range of applications allows users to improve workflows across multiple applications. Autopilot’s adaptability enables organizations to tailor AI agents to their unique processes, fostering increased efficiency and innovation in their operations.

17. SAP Joule AI

SAP’s AI co-pilot, Joule, integrates intelligent agents across enterprise functions to enhance efficiency and decision-making at scale. Unlike AI solutions that operate in silos, Joule connects seamlessly inside and outside of SAP’s suite of applications, enabling automation across end-to-end business processes.

Joule optimizes workflows and drives company-wide productivity from the interns all the way up to the CEO. By embedding AI directly into core business processes, SAP aims to transform enterprise operations with data-driven automation and contextual intelligence.

AI in Consumer Tech & Robotics

18. Tesla Full Self-Driving v12

Tesla’s Full Self-Driving (FSD) v12 represents a major leap forward in AI-powered autonomous driving. Unlike previous versions, which relied heavily on rule-based programming, v12 is trained almost entirely through neural networks, allowing it to learn and adapt to real-world driving conditions more fluidly.

While Tesla’s system isn’t quite fully autonomous yet, its ability to navigate complex environments with minimal human intervention demonstrates how AI is reshaping transportation. Look out for future full self-driving technology from Tesla and other competitors, which is right on the horizon.

19. Amazon Astro 2.0

Amazon’s Astro 2.0 is an AI-powered home robot designed to assist with security, communication, and household tasks. Equipped with advanced navigation, voice recognition, and facial detection, Astro can autonomously patrol a home, deliver reminders, and even integrate with Alexa for smart home control.

20. Apple AI Assistant

Apple has been advancing its AI Assistant to incorporate agentic AI capabilities, focusing on enhancing autonomy and contextual understanding. This evolution aims to enable the assistant to perform tasks proactively, manage complex workflows, and make decisions based on user preferences and situational context.

This new technology won’t be replacing Siri, but rather will be integrated into Apple’s devices moving forward.

21. Boston Dynamics Stretch AI

Boston Dynamics’ Stretch robot is engineered for autonomous operation in warehouse environments, specifically designed to handle the unloading of trucks and containers. Equipped with advanced computer vision and AI-driven decision-making capabilities, Stretch can identify, grasp, and move boxes of various sizes and weights without human intervention.

And thanks to its autonomous reasoning, powered by agentic AI, Stretch will be able to reason through possible issues—like boxes opening or falling while unloading.

Experience agentic AI-powered IT with your 30-day free trial

Agentic AI is shaping the future of IT, cybersecurity, healthcare, finance, and beyond. By automating complex workflows and enhancing decision-making, these tools are unlocking new levels of efficiency and innovation.

The businesses that leverage agentic AI-driven automation now will have the competitive edge over the competition. So, if you’re ready to gain that edge in IT management, Atera can help. From AI helpdesk capabilities to AI-powered patch management, and everything in between, Atera is changing the way IT teams operate. Start your 30-day free trial of Atera’s AI-powered platform today and see how agentic AI-powered automation can transform your IT workflow.