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Whatfix Launches AI Agents to Accelerate Business Outcomes for Enterprises

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Whatfix, the global leader in digital adoption platforms (DAP), today announced the launch of Whatfix AI Agents embedded across its product suite to accelerate user productivity and drive business performance outcomes.

 

(L–R) Vara Kumar Namburu, Co-founder & Head of R&D and Solutions, Whatfix, and Khadim Batti, Co-founder & CEO, Whatfix

At the heart of these agents is ScreenSense, Whatfix’s proprietary AI technology that continuously interprets both the users’ context within an application and the user’s real-time intent. This understanding powers timely, relevant actions, whether it’s triggering an in-app guide, surfacing enterprise search results, displaying a DAP nudge, or invoking a third-party AI tool. By combining this contextual intelligence with the capabilities of Whatfix AI Agents, users can complete critical tasks faster and more accurately, staying focused on outcomes rather than navigating constant change across the enterprise software stack.

“Gartner projects that software spending will grow at double-digit rates this year, driven by generative AI, yet most enterprises are still struggling to turn these investments into outcomes,” said Khadim Batti, CEO and Co-Founder of Whatfix. “As AI investments increase across the enterprise software stack, many organizations face a growing gap between software’s potential and real user impact. The layer of AI is adding to this rapid change, risking paralyzing users with too much change and too little guidance. Whatfix AI Agents flip that equation. They userize technology to adapt to the user’s context. This is not just about improving adoption. It is about enabling every user to succeed in an environment where systems are changing faster than people can keep up.”

Whatfix AI Agents—Powered by ScreenSense: 
The first three Whatfix AI Agents—Authoring, Insights, and Guidance—are now available across the Whatfix product suite, transforming how enterprises create, analyze, and guide in-app experiences. Powered by ScreenSense, they interpret application context and user intent in real time to deliver precise, high-value actions that accelerate work.

Authoring Agent: This agent removes friction from the content creation process by generating fully configured in-app experiences using simple natural language prompts, including pop-ups, walkthroughs, and advanced visibility rules. It enables anyone responsible for creating guidance content — such as training teams, and application or product owners — to publish at scale without needing any technical expertise.

Example: Make a tip appear when users land on a new dashboard. Just add a prompt in natural language and the Authoring Agent will generate the content, apply targeting logic, and style it automatically.

Insights Agent: This agent is a conversational interface that transforms how users interact with their product analytics data. It helps stakeholders across functions ask questions in natural language to uncover user behavior and drop-off patterns. These insights enable product owners to identify product features that need enhancements or better adoption.

Example: Ask a question like, “How is the new workflow performing?” The Insights Agent returns a clear visual summary, highlights friction points, and recommends the next best step — all in seconds.

Guidance Agent: This agent delivers precise, AI-generated answers in the flow of work,  distilling complex or lengthy knowledge into short, contextual summaries. It transforms how users access information, reducing time-to-answer and supporting dependency. It is designed to support enterprise users who need clarity fast, without switching tabs, reading long documents, or escalating to support.

Example: When a user searches for “return policy exceptions” while working in an order management system, the Guidance Agent instantly surfaces a concise summary from internal documentation, right within the application, with no context switch required.

Deeply embedded across Digital Adoption, Product Analytics, and Mirror, these agents form an intelligent layer that personalizes every user interaction—bridging the gap between enterprise systems and user success at scale.

 

Laurentiu BOGDAN, Operational Excellence Director at Servier, said, “With Whatfix AI, we’re heading towards a world where digital solutions will self-correct, self-improve, and personalize in real time, based on user intent. It’s not just about automation; it’s about making complexity disappear.”

What’s Next for Whatfix AI
Building on its leadership in Digital Adoption, Whatfix is expanding into AI-first products designed to deliver measurable business impact. The company will continue to advance its Userization philosophy—putting technology in service of the user—by integrating intelligent automation, real-time discovery, and adaptive training into its product suite. These innovations aim to create a unified, AI-powered experience where every user can succeed, no matter how fast enterprise systems evolve. This trajectory is reflected in industry recognition: Whatfix won the 2025 AI Breakthrough Award as “Overall AI-based Analytics Solution of the Year” and has been shortlisted for the AI Awards for “Best Use of AI for Learning,” with winners to be announced in September.

To explore Whatfix AI Agents and schedule a live demo, visit: whatfix.com/ai

About Whatfix
Whatfix is an AI platform advancing the “userization” of enterprise applications—empowering companies to maximize the ROI of their digital investments. Powered by a proprietary AI engine ScreenSense, Whatfix continuously interprets “Application Workflow Context” and “User Intent” to boost user productivity, ensure process compliance, and elevate user experience across applications. The product portfolio includes a Digital Adoption Platform (DAP), Mirror simulated application environments for hands-on training, and Product Analytics for no-code insights. With seven offices across the US, India, UK, Germany, Singapore, and Australia, Whatfix supports 700+ enterprises, including 80+ Fortune 500s like Shell, Schneider Electric, and UPS Supply Chain Solutions. Backed by investors such as Warburg Pincus, Softbank Vision Fund 2, Dragoneer, Peak XV Partners, Eight Roads, and Cisco Investments, software clicks with Whatfix.



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Dan Ives Says Tesla’s AI And Robotaxi Business Worth At Least $1 Trillion, Company And Musk Headed For ‘Important Chapter’ In Growth Story – Tesla (NASDAQ:TSLA)

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September 15, 2025

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Over the weekend, Wedbush Securities analyst Dan Ives said Tesla Inc. TSLA is on the verge of its most significant phase yet, arguing that the company’s artificial intelligence and robotaxi ambitions could unlock at least $1 trillion in value.

AI Revolution And Robotaxi Potential

“We believe Tesla and Musk are heading into a very important chapter of their growth story as the AI revolution takes hold and the robotaxi opportunity is now a reality on the doorstep,” Ives wrote on X, formerly Twitter. “We estimate the AI and autonomous opportunity is worth at least $1 trillion alone for Tesla.”

Ives’ remarks followed a Wall Street Journal report that Stephen Hawk, a 56-year-old Tesla investor from Florida, had filed a shareholder proposal urging Tesla’s board to approve an investment in xAI.

Following the report, SkyBridge Capital founder Anthony Scaramucci also said that a Tesla–xAI merger “feels inevitable.”

See Also: Mark Cuban Once Said First Trillionaire Could Be ‘One Dude In A Basement’ — Now He’s Putting AI Tools Directly In High School Classrooms

Delivery Momentum Fuels Near-Term Gains

Earlier this month, Gary Black, managing partner at The Future Fund LLC, said Tesla’s stock surge in the past few days stems from expectations that the company will exceed Wall Street’s third-quarter delivery forecasts.

“Let’s not kid ourselves,” Black wrote on X. “$TSLA has been strong the past few days NOT because of progress on robotaxi but because every hedge fund has come to the realization that $TSLA will crush 3Q delivery estimates in two weeks.”

Black estimates Tesla will deliver 470,000 vehicles in the quarter, well above Wall Street’s consensus of 432,000, aided by buyers rushing to take advantage of the expiring $7,500 EV tax credit on Sept. 30.

What Are The Mixed Global Signals

Tesla’s performance remains uneven across markets. In China, sales fell 10% in August, marking the sixth monthly decline in 2025. Still, early September saw a rebound, with registrations hitting 14,300, a 41% jump from the previous quarter’s weekly average.

In the U.S., rising vehicle prices have weighed on Tesla’s market share even as overall EV sales climb.

Skepticism On Autonomy And Leadership

Not all observers are convinced Tesla can deliver on Ives’ trillion-dollar thesis.

Ross Gerber, co-founder of Gerber Kawasaki, earlier questioned Tesla’s approach to autonomy, saying Musk has ignored hardware issues critical to self-driving safety.

An ex-employee also criticized Musk’s leadership as “seriously compromised,” alleging it had damaged Tesla’s mission.

Tesla Stock Lags Behind S&P 500 And Nasdaq 100

In July, Tesla reported second-quarter revenue of $22.5 billion, down 12% year-over-year and short of analyst estimates.

At the time, the company reiterated plans to launch a more affordable model later in 2025 while preparing the Tesla Semi and Cybercab for volume production in 2026.

On the analyst front, Tesla carries a consensus price target of $311.81 based on 29 ratings. The three latest updates include Wedbush, RBC Capital and China Renaissance, with their average target of $391.33 suggesting a slight 1.07% downside.

Price Action: So far in 2025, Tesla’s stock is down about 2%, underperforming the S&P 500’s 11.95% gain and the Nasdaq 100’s 14.66% increase, according to Benzinga Pro.

Benzinga’s Edge Stock Rankings indicate that TSLA continues to show strength across short, medium and long-term horizons, with additional insights available for investors.

Read Next:

Photo Courtesy: Josiah True on Shutterstock.com

Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.



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How North Korean and Chinese Hackers Infiltrate Companies With AI

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September 15, 2025

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From bogus IDs to made-up résumés, North Korean and Chinese hackers have been using AI tools to supercharge espionage and slip into companies and other targets.

In the latest case, a North Korean hacking group known as Kimusky used ChatGPT to generate a fake draft of a South Korean military ID. The fake IDs were attached to phishing emails that impersonated a South Korean defense institution responsible for issuing credentials to military-affiliated officials, South Korean cybersecurity firm Genians said in a blog post published Monday.

Kimsuky has been linked to a string of espionage campaigns against individuals and organizations in South Korea, Japan, and the US. In 2020, the US Department of Homeland Security said the group is “most likely tasked by the North Korean regime with a global intelligence-gathering mission.”

ChatGPT blocks attempts to generate official government IDs. But the model could be coaxed into producing convincing mock-ups if the prompt was framed as a “sample design for legitimate purposes rather than reproducing an actual military ID,” Genians said.

This is not the first time North Korean hackers have used AI to infiltrate foreign entities. Anthropic said in a report last month that North Korean hackers used its Claude tool to secure and maintain fraudulent remote employment at American Fortune 500 tech companies. The hackers used Claude to spin up convincing résumés and portfolios, pass coding tests, and even complete real technical assignments once they were on the job.

US officials said last year that North Korea was placing people in remote positions in US firms using false or stolen identities as part of a mass extortion scheme.

China’s hackers are doing it, too

Anthropic said in the same report that a Chinese actor spent over nine months using Claude as a full-stack cyberattack assistant to target major Vietnamese telecommunications providers, agricultural systems, and government databases.

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The hacker used Claude as a “technical advisor, code developer, security analyst, and operational consultant throughout their campaign,” Anthropic said.

Anthropic said it had implemented new ways to detect misuse of its tools.

Chinese hackers have also been turning to ChatGPT for help with their cyber campaigns, according to an OpenAI report published in June. The hackers asked the chatbot to generate code for “password bruteforcing”— scripts that guess thousands of username and password combinations until one works. They used ChatGPT to dig up information on US defense networks, satellite systems, and government ID verification cards.

The OpenAI report flagged a China-based influence operation that used ChatGPT to generate social media posts designed to stoke division in US politics, including fake profile images to make the accounts look like real people.

“Every operation we disrupt gives us a better understanding of how threat actors are trying to abuse our models, and enables us to refine our defenses,” OpenAI said in the June report.

It’s not just Claude and ChatGPT. North Korean and Chinese hackers have experimented with Google’s Gemini to expand their operations. Chinese groups used the chatbot to troubleshoot code and obtain “deeper access to target networks,” while North Korean actors used Gemini to draft fake cover letters and scout IT job postings, Google said in a January report.

Google said Gemini’s safeguards prevented hackers from using it for more sophisticated attacks, such as accessing information to manipulate Google’s own products.

OpenAI, Anthropic, and Google did not respond to a request for comment from Business Insider. The companies have said they published their findings on hackers to help others improve security.

AI makes hacking easier

Cybersecurity experts have long warned that AI has the capacity to make hacking and disinformation operations easier.

Hackers have been using AI models to infiltrate companies, Yuval Fernbach, the chief technology officer of machine learning operations at software supply chain company JFrog, told Business Insider in a report published in April.

“We are seeing many, many attacks,” Fernbach said, adding that malicious code is easily hidden inside open-source large language models. Hackers typically shut things down, steal information, or change the output of a website or tool.

Online businesses have also been hit by deepfakes and scams. Rob Duncan, the VP of strategy at the cybersecurity firm Netcraft, told Business Insider in a June report that he isn’t surprised at the surge in personalized phishing attacks against small businesses.

GenAI tools now allow even a novice lone wolf with little technical know-how to clone a brand’s image and write flawless, convincing scam messages within minutes, Duncan said. With cheap tools, “attackers can more easily spoof employees, fool customers, or impersonate partners across multiple channels,” he added.





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Webcash, a B2B financial artificial intelligence (AI) agent company, announced on the 15th that it h..

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2 hours ago

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September 15, 2025

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“WIN-CMS Affiliate Project” Business Agreement

Kang Won-joo, CEO of Webkesi (right), and Bae Yeon-soo, vice president of Woori Bank’s Industrial Group, are taking a commemorative photo at the business agreement ceremony for the WIN-CMS Alliance Project held at Webkesi headquarters in Yeongdeungpo-gu, Seoul on the 12th.

Webcash, a B2B financial artificial intelligence (AI) agent company, announced on the 15th that it has signed a business agreement with Woori Bank to promote the WIN-CMS alliance project.

With this agreement, WebCash’s electronic tax invoice solution “Texville 365” and overseas financial institution account details integration solution “Global Dashboard” will be provided as partnership services within Woori Bank’s integrated fund management service WIN-CMS (Cash Management Service).

WIN-CMS is a service that helps companies manage multiple accounts held in one place. In addition, the combination of web cash solutions that increase corporate funding efficiency is expected to greatly improve the automation and efficiency of corporate customers.

With this agreement, the two companies will continue various cooperation systems, including joint marketing to attract new customers for ▲ WIN-CMS alliance services △ expansion of additional services to enhance convenience of use. Through this, Webcash has a strategy to establish a stable channel to secure new customers and expand the scope of its service.

Kang Won-joo, CEO of Webcash, said, “We are happy to provide a stable fund management environment to more corporate customers through this business agreement,” adding, “Webcash will continue to lead corporate fund innovation as a B2B financial AI agent company.”



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