Connect with us

Business

How AI Agents at Work Help Make Businesses Smarter

Published

on


How businesses of all sizes are using intelligent digital assistants to save time, reduce costs, accelerate workflows, enhance customer experiences, while keeping humans at the center.

Whether you are an online clothing retailer fielding a flood of customer queries, a financial firm tailoring services to clients, or a startup with bright ideas but limited resources – the challenge is universal: how do you meet rising demand, accelerate workflows, and improve customer satisfaction without the burden of complex technology?

The answer for a growing number of companies – enterprise AI agents working alongside your team.

What are enterprise AI agents?

Enterprise AI agents are intelligent digital assistants that automate business processes. Unlike basic chatbots or traditional AI tools that operate on pre-set scripts or limited tasks, enterprise AI agents integrate directly into your business systems to generate reports, analyze complex data, draft personalized content, and assist developers with code reviews and testing.

Powered by large language models (LLMs) and connected to enterprise data, they deliver secure, context-aware, and scalable support that adapts to your specific business needs. Most importantly, they handle repetitive tasks so your team can focus on creative problem-solving and strategic initiatives.

AI agents are already making a difference

Enterprise AI agents are already proving valuable across industries. They are deployed to reduce wait times and improve resolution rates in customer service, effectively handling complex interactions—including those that require empathy. Marketing teams use them to tailor messaging and scale campaigns, and HR and operations teams are using agents to handle routine employee queries and streamline onboarding processes.

According to McKinsey, enterprise LLMs could unlock up to $4.4 trillion in annual value. Boston Consulting Group predicts the AI agent market’s average annual growth rate will be 45 percent through to 2030.

No-code tools are making AI easier to adopt

Until recently, deploying enterprise AI required specialist teams and complex infrastructure. Today, modern platforms have changed that.

Low-code and no-code AI platforms allow business teams to build and manage intelligent agents using drag-and-drop visual workflows – with no manual coding required. With Retrieval-Augmented Generation (RAG), these agents pull answers from approved internal sources, keeping responses accurate and compliant.

One example is the Tencent Cloud Agent Development Platform (TCADP). It helps companies quickly build agents that integrate with tools like internal chat, databases, and document systems, supporting functions like marketing, analytics, and customer service.

And for technical teams, CodeBuddy – Tencent’s AI agent for developers – automates tasks like code generation, bug detection, and testing. It has helped reduce development bottlenecks and improve product delivery timelines. In fact, 85 percent of Tencent engineers now use it daily.

AI agent success cases in five sectors

Here are five examples of how enterprise AI agents are solving real business challenges, from simplifying operations to personalizing customer engagement.

1. Healthcare: managing complexity, improving care

At Peking Union Medical College Hospital, rising patient demand and disconnected services were overloading doctors and staff. By introducing an AI-powered Q&A agent, the hospital unified 15 services – from appointment scheduling to billing – into a single interface. It also enabled full-cycle patient management from admission to post-op.

Result: Reduced admin burden, smoother patient experiences, and more time for clinical care.

2. Auto: enhancing support at scale

FAW Toyota, a leading car maker, needed to improve service quality across a complex support network reliant on large volumes of brand manuals, illustrated guides, and technical documents.

To address this, the company deployed an AI agent using Optical Character Recognition (OCR) and RAG to interpret information and generate accurate, real-time responses. This enabled end-to-end knowledge processing and automated responses.

Since launch, resolution rates have risen from 37 percent to 84 percent, with the AI agent now handling about 17,000 monthly inquiries.

Result: Faster, more accurate responses and improved customer satisfaction.

3. Finance: cutting through complexity

For Huaxing Bank, due diligence reports were essential but time-consuming tasks that once took over a week to complete.

Using an AI credit assistant, 95 percent of that work is now automated with 93 percent accuracy. Operational efficiency is up tenfold, and report generation time slashed from 10 days to just one.

Result: Staff can focus on higher-value analysis while accelerating compliance.

4. Retail: personalizing at scale

DaShenLin is one of China’s largest pharmacy chains, with more than 16,000 stores nationwide. It had accumulated a vast amount of enterprise knowledge including drug information, sales support and customer feedback across their stores.

The company used a Hunyuan-powered AI agent to consolidate that knowledge base. In addition, their in-store Q&A support agent can now help over 50,000 employees answer questions instantly, reducing staff response times by 80 percent.

Result: More confident front-line staff and faster service.

5. Gaming: elevating player experiences

Game studios are under constant pressure to evolve and upgrade their offerings to keep players engaged.

Giant Network, makers of hit game Among Us, used Tencent’s Hunyuan Turbo S model to introduce AI-powered non-player characters (NPCs) into its impostor challenge playing mode. These intelligent agents mimic human reasoning and conversation, creating deeper, more strategic player engagement.

Result: More immersive gameplay and increased player activity.

Getting started: key considerations

  • Choose the Right Foundation: Look for platforms that integrate securely with existing data and have proven track records in your industry.
  • Start Small, Scale Smart: Begin with high-volume, routine tasks before expanding to more complex processes.
  • Measure What Matters: Track metrics like time savings, accuracy improvements, and employee satisfaction to demonstrate ROI.
  • Focus on Human Enhancement: Position AI agents as tools that amplify human capabilities rather than replace them.

Ready to scale smarter?

Enterprise AI agents aren’t future technology. They’re already working alongside teams today to reduce costs, speed up operations, and deliver better customer and employee experiences.

What part of your business could run smarter with AI agents on your team?



Source link

Business

YouTube Plans to Win Over Spotify’s Audio-First Podcasters With AI

Published

on


The next big battleground for podcasts is video — and YouTube wants to cement its dominance.

On Tuesday, YouTube announced a slate of new AI products as it seeks to solidify itself as the leader in the category over competitors like Spotify or Apple.

Starting next year, audio-first podcasters will be able to generate video clips for YouTube from their audio transcripts. The tool uses Google’s Veo AI technology to generate short 30-second to 60-second visuals that can either become a YouTube short or a part of a long-form video upload. The feature will initially be available to a limited set of US podcasters.

The target audience? Audio podcasters with little to no video experience.

There is a class of podcast creators who are not gifted in video or who “don’t want to make the conversation awkward by having four or five cameras in a studio,” T. Jay Fowler, YouTube’s senior director of product management focused on podcasts and music, told Business Insider.

AI-generated video could make it easier for those creators to get started on YouTube, Fowler said.

“You can imagine some partners or podcasters thinking, ‘Oh, getting on YouTube is a big hurdle,'” he said. “It is a video-centric platform. And so this will also help ease people into the experience. They can dip their toe.”

YouTube emerged as the top player in podcasting by hosting a slate of talk-show style channels from creators like Rhett & Link, Theo Von, and Joe Rogan. About a third of weekly podcast consumers in the US prefer YouTube, beating out all rivals, according to a January report from Edison Research.

But the company is a less natural fit for podcasts that aren’t talk shows and aren’t easily adapted to video. YouTube thinks these new AI tools can help it make inroads there.

Adding video could help audio-focused podcasters meet consumer demand. The share of US adults who said they preferred video podcasts hit 42% in August 2024, up from 32% in October 2022, per a Morning Consult report from October.

Spotify made a big push into video last year and told investors in July that consumption of video podcasts was growing 20 times faster than audio alone. Even Netflix is looking to get into the game. It’s held exploratory meetings with creators and sought to hire a video podcast executive.

But YouTube has a clear head start in the category as a native video platform with a well-established creator ad revenue sharing model. The company’s TikTok-like short-video feature, shorts, can also serve as a marketing tool for podcast creators. Forty-four percent of new podcast audiences begin listening on YouTube, according to a June report from Cumulus Media and Signal Hill Insights.

On Tuesday, YouTube announced an additional AI-powered tool to help creators clip highlights from their video podcasts for YouTube shorts. Clipping has become an increasingly important marketing tool for podcasters and other long-form creators. The feature will roll out in the coming months, the company said.





Source link

Continue Reading

Business

Fate Foundation puts AI Powered Business in spotlight at annual conference

Published

on



With Artificial Intelligence (AI) increasingly driving innovation and growth, FATE Foundation is set to spotlight the transformative power of AI in business.

The foundation has announced its 10th business conference to bring together industry experts, entrepreneurs, and thought leaders to explore the opportunities and challenges of AI-powered business.

According to the foundation, this year’s conference promises to be a groundbreaking event, exploring the transformative power of Artificial Intelligence (AI) in driving business growth, innovation, and sustainability.

The AI Powered Business conference is a timely platform for FATE Alumni to showcase their innovative ideas and solutions,” said Toyin Bakare, FATE Alumni president. ”

“We are confident that this event will provide valuable insights and opportunities for growth, and we look forward to seeing the impact it will have on our community.”

The conference will feature keynote speeches, panel discussions, and a pitch competition, providing a platform for industry experts, entrepreneurs, and thought leaders to share insights, best practices, and innovative applications of AI in business.

Attendees will have the opportunity to network with like-minded individuals, potential partners, and investors, fostering collaborations and business growth.

Themed ‘ AI Powered Business’ is schedule to hold September 26, 2025, at the Balmoral Convention Center in Lagos.
. ”
The conference will also feature a pitch competition, where entrepreneurs will have the chance to showcase their AI-powered business ideas and compete for grants of up to N1 million.

“We are excited to explore the vast potential of AI in business at this year’s conference,” said Dipo Davies, Chairman, 10th FATE Business Conference Technical Committee.

“As AI continues to revolutionize industries, we believe it’s essential for entrepreneurs and business leaders to stay ahead of the curve and harness its power to drive growth, innovation, and sustainability.”

“This conference will provide a unique opportunity for knowledge sharing, networking, and collaboration.”

The conference has been priced at N50,000 per attendee, to afford small and medium sized companies the opportunity to attend physically.

The confirmed speakers are Kofo Akinkugbe, OON, founder and group CEO, SecureID Group; Adedeji Olowe, founder, Lendsqr and Olatunbosun Alake, commissioner for Innovation, Science & Technology, Lagos State Government among others.

Adenike Adeyemi, executive director of FATE Foundation, said the conference will enable over 1000 entrepreneurs with the knowledge, insights and tools to innovate and accelerate their business growth and open new opportunities for success.

“By bringing together industry experts, thought leaders, and innovators, the conference aims to foster a dynamic ecosystem that supports entrepreneurship and economic development,” she said.

Interested participants should visit the foundation’s website to register for the event.



Source link

Continue Reading

Business

Anthropic data confirms Gen Z’s worst fears about AI

Published

on


New data from AI startup Anthropic may stoke Gen Z’s fears about their future careers: Companies are using the technology primarily to automate tasks, potentially jeopardizing the quality and quantity of entry-level jobs.

Anthropic’s latest Economic Index report published on Monday found 77% of businesses using the company’s Claude AI software are doing so for automation purposes like “full task delegation,” while just 12% are using the tech for collaborative purposes such as learning. Anthropic used data selected from one million application programming interface transcripts from mostly businesses and software developers for its report.

The proliferation of task automation—most heavily used for coding tasks, as well as writing and educational instruction—is likely a result of both AI bots getting better at completing tasks, as well as users getting more comfortable with the technology, according to Peter McCrory, head of economics at Anthropic. For businesses integrating AI into their workplace, automation may help drive efficiency.

“Businesses are figuring out how to build the embedded infrastructure to unlock the productivity effects,” McCrory told Fortune. “And there are likely to be some labor market implications as well.”

McCrory said the purpose of the report is not to draw conclusions about how AI will impact the labor market in the future. Still, as AI automation tools become more readily available, so does evidence of its impact on the future of labor, particularly for those just entering the job market. A first-of-its-kind study from Stanford University published last month found indications of AI having a “significant and disproportionate impact on entry-level workers in the U.S. labor market,” including a 13% relative employment decline for early-career employees in the most AI-exposed jobs since companies began widely integrating the technology into their workplaces.

Anthropic CEO Dario Amodei is well-aware of the risks of this shift on the labor landscape. He warned in May that AI could wipe out nearly 50% of entry-level white collar jobs within the next five years.

“Most of them are unaware that this is about to happen,” Amodei told Axios. “It sounds crazy, and people just don’t believe it…We, as the producers of this technology, have a duty and an obligation to be honest about what is coming.”

Gen Z’s AI fears, realized

For Gen Z, the fear of AI knocking them off their career paths is already salient. According to a survey by career platform Zety of 1,000 Gen Z workers, 65% of respondents said a college degree would not protect them from a job loss related to AI.

The generation’s concern about AI-related job loss is “on the right track,” Christopher Stanton, associate professor of business administration at Harvard Business School, told Fortune.

According to Stanton, jobs won’t be entirely automated, but tasks will, raising questions more about what is asked of employees, as well as how they are trained. For example, an AI bot may be able to generate marketing copy for an ad, but a writer or editor is still needed to input prompts and edit the outputs.

However, the automation of tasks will have an outsized impact on entry-level jobs in particular, Stanton said. Workplaces will start to prioritize giving workers apprentice-like experiences to train them, which will likely hit wages for those positions.

“You can imagine that AI is doing a lot of what entry-level workers used to do, but you still need those people to get context,” he said. “You might imagine that their wages are going to fall so that they can accumulate experience.”

There’s another shift Stanton can envision for young people: a switch to occupations requiring physical labor that AI is currently unable to perform, such as trades. According to a 2024 Harris Poll commissioned by Intuit Credit Karma, about 78% of Americans said they’ve noticed a surge of young people pursuing trade jobs like carpentry, electrical work, and welding.

“The generative AI revolution is proceeding much faster than the revolution in physical AI or robotics,” Stanton said.

Cashier or consultant?

It’s still early to predict the impact of AI on the labor market with certainty, Stanton said, but there’s a wealth of data indicating that when young people graduate into a weak labor market, they can suffer long-term professional and financial consequences.

A 2016 landmark study titled “Cashier or Consultant?” measured how entry conditions of the labor market impacted college graduates’ wages more than a decade after graduation, using data from students from the graduating classes of 1974 to 2011. The study found that entering the workforce during a recession was associated with a roughly 10% reduction in wages in the first year of employment, an effect that mostly faded after seven years after graduation. For high-earning majors like finance, these effects were less pronounced; for low-earning majors like philosophy, they were more pronounced.

This drop-off in income for those graduating into a recession could be because in order to get a job, recent graduates find work on the lower end of the occupational earnings distributions, like working as a barista or restaurant server, which pay less, but could be more readily available, Stanton said. Today’s budding young professionals are not trying to join the work force during a recession, but they are entering a weak labor market, in part due to the changing AI landscape. Therefore, there are some unfortunate parallels between young Gen Z needing to sacrifice wages due to wavering job opportunities and millennials graduating into the Great Recession.

“We at least have some past empirical evidence that does give us a signal, where some recent college graduates graduating into a recession have historically been pretty extreme for people’s careers,” Stanton said.

Fortune Global Forum returns Oct. 26–27, 2025 in Riyadh. CEOs and global leaders will gather for a dynamic, invitation-only event shaping the future of business. Apply for an invitation.



Source link

Continue Reading

Trending