Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Agentic AI: 6 promising use cases for business

Agentic AI is having a moment, as proponents see the benefits of using autonomous AI agents to automate manual tasks across organizations.

Agentic AI, which Forrester named a top emerging technology for 2025 in June, takes generative AI a step further by emphasizing operational decision-making rather than content generation. The promise the approach has for impacting business workflows has organizations such as Aflac, Atlantic Health System, Legendary Entertainment, and NASA’s Jet Propulsion Laboratory already pursuing the technology.

CRM leader Salesforce has since centered its strategy around agentic AI, with the announcement of Agentforce. IT service management giant ServiceNow has also added AI agents to its Now Platform. Microsoft and others are also joining the fray.

With AI agents popping up in so many situations and platforms, organizations interested in the technology may find it difficult to know where to start. A handful of use cases have so far risen to the top, according to AI experts.

Agentic AI will integrate smoothly with ERP, CRM, and business intelligence systems to automate workflows, manage data analysis, and generate valuable reports, says Rodrigo Madanes, global innovation AI officer at EY, a consulting and tax services provider. AI agents, unlike some past automation technologies, can make decisions in real-time, making process automation a primary use case.

“AI agents can automate repetitive tasks that previously required human intervention, such as customer service, supply chain management, and IT operations,” Madanes says. “What sets the technology apart is its ability to adapt to changing conditions and handle unexpected inputs without manual oversight.”

Here are six top uses for AI agents, as seen by several AI experts.

Software development

Agentic AI promises to transform AI coding assistants, or copilots, into smarter software development tools that write large pieces of code. While coding assistants have so far received mixed reviews, analyst firm Gartner predicts that smarter AI agents will write the majority of code within three years, leading to a need for most software engineers to reskill.

Coding agents will not only write the code, but separate agents will review code for errors, says Sheldon Monteiro, executive vice president and chief product officer at Publicis Sapient, a digital transformation advisory firm.

“With DevOps toolchains already automating workflows, adding AI agents is a natural evolution,” he says. “These agents can autonomously reverse engineer specifications from code, forward engineer test cases and code from specifications, and approve artifacts that that meet certain threshold criteria, improving the overall level of automation.”

RPA on ‘steroids’

Many organizations are already using robotic process automation to automate simple and repetitive tasks in many areas. Agentic AI can also automate tasks, but it can take on more complex problems that require higher-level decision-making functionality, Monteiro says.

“With AI, RPA moves beyond rule-based actions to adaptable, autonomous processes, significantly enhancing efficiency across business operations,” he says. “The new tools give us the ability to train agents to not just do the simplest of those tasks that RPA was doing, but actually to be able to understand some of the nuances of when exception logic also works.”

Customer support automation

Organizations have long used simple chatbots and voice bots to handle simple customer service requests, but agentic AI will allow customer service automation to evolve into a more robust service that doesn’t just answer a few frequently asked questions, says Glenn Nethercutt, CTO at Genesys, provider of AI-based customer experience solutions.

“The way I tend to define agentic AI is an autonomous ability to perform reason-based, multistep tasks that are nondeterministic,” Nethercutt says. “It’s an ability to handle really complex and adaptive decision-making processes without having human guidance.”

These customer service agents will cover a variety of industries and functions, including retail, financial services, and IT service desk help, he says. Instead of a highly curated bot that answers a limited number of questions, AI agents will be able to understand and provide contextual answers for a wide range of customer needs.

For example, a bank customer will be able to say, “Take money from my account that has the most money in it and move it to my checking account.” A simple chatbot typically can’t understand what “the account with the most money in it” means, Nethercutt says.

“The idea that presents itself is having this kind of catalog of the actions that can be done, and having an AI that is intelligent enough,” he says. “Here’s the panoply of options I have in front of me, and what I can choose to use, and guardrails will become increasingly complex.”

Enterprise workflows

With ServiceNow, Salesforce, and other vendors embracing agentic AI, enterprise workflows will be a sweet spot for the technology, experts say, enabling businesses to streamline processes by automating routine tasks.

For instance, an AI agent could turn meeting notes into project tickets without human input or trigger a supplier order in response to a demand-supply prediction, Monteiro says.

Organizations deploying IT tools from a large vendor across the business should have an advantage over companies using a variety of solutions that may need to be linked by APIs, he adds. It will be important for enterprises to pool all their data and avoid information silos.

“The question that is materializing for CIOs is, ‘Who are you going to entrust with building your context store, which is your deep knowledge of how your enterprise works?’” he adds. “Think about all of the knowledge you have of your enterprise. What if your LLM actually knew the entirety of how your enterprise works?”

Cybersecurity and threat detection

Several cybersecurity providers have deployed AI agents to detect and respond to threats. “Agentic AI in cybersecurity can autonomously detect, react to, and even mitigate security and fraud threats in near real-time, reducing response times to potential attacks and enhancing overall security,” Monteiro says.

In addition, AI agents can enable personalized security protocols that adapt to specific threats and vulnerabilities, according to AI agent vendor Beam. “This agentic automation ensures a more robust defense mechanism,” the company claims.

AI agents can also drive efficiency and cost savings by automating routine tasks and security responses, according to Beam.

Business intelligence

Another area where AI agents will have a large impact is business intelligence. While BI dashboards are relatively simple to use, gaining insights that go beyond the standard categories has often taken the work of a data team to extract, says Ryan Janssen, co-founder and CEO at Zenlytic, an AI-powered BI vendor.

Agentic AI paired with a BI solution could give more employees access to useful analytics, he says. For example, an AI agent for BI could advise a marketing team about where to spend its budget or create a chart based on an example drawn on a napkin, Janssen says.

AI agents that understand voice inputs can generate business data insights based on spoken questions such as, “What are our top three marketing channels?”

“That’s a very natural question, but it’s ambiguous,” Janssen says. “What you can’t do with the chatbot versus an agent is disambiguating that ambiguous question. What do you mean by ‘top’? The agent, when well built, will say, ‘Oh, wait, this is ambiguous; I need to go back and use a tool for this.’”

Many organizations are just at the start of their agentic AI journeys, and there are hundreds of uses yet to be discovered, Janssen adds. Coding agents are an early use case because programming is detail-driven and time consuming, but now coding hobbyists are building apps using coding assistants.

“The way that they are best applied is when you have work that is grindy, takes a lot of work, or requires a lot of attention to detail,” Janssen says.

When dozens of agents get strung together and organized, enterprises will see new breakthroughs, he adds.

“We haven’t even scratched the surface yet with what agents can do,” he says. “We don’t know what an organization looks like yet, how they’re supposed to interact, and how it is governed. But I have no doubt that over the next couple of years, we’re going to figure that out.”


Read More from This Article: Agentic AI: 6 promising use cases for business
Source: News

Category: NewsNovember 14, 2024
Tags: art

Post navigation

PreviousPrevious post:Competition is stiff, but retailers know what it takes to competeNextNext post:The targeted approach to cloud and data CIOs need for ROI gains

Related posts

Barb Wixom and MIT CISR on managing data like a product
May 30, 2025
Avery Dennison takes culture-first approach to AI transformation
May 30, 2025
The agentic AI assist Stanford University cancer care staff needed
May 30, 2025
Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025
May 30, 2025
“AI 비서가 팀 단위로 지원하는 효과”···퍼플렉시티, AI 프로젝트 10분 완성 도구 ‘랩스’ 출시
May 30, 2025
“ROI는 어디에?” AI 도입을 재고하게 만드는 실패 사례
May 30, 2025
Recent Posts
  • Barb Wixom and MIT CISR on managing data like a product
  • Avery Dennison takes culture-first approach to AI transformation
  • The agentic AI assist Stanford University cancer care staff needed
  • Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025
  • “AI 비서가 팀 단위로 지원하는 효과”···퍼플렉시티, AI 프로젝트 10분 완성 도구 ‘랩스’ 출시
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.