Whatfix, a provider of digital adoption platforms (DAP), has embedded three AI agents across its product suite that are designed to accelerate user productivity and improve business performance outcomes. The agents leverage ScreenSense, Whatfix’s proprietary AI technology that continuously interprets users’ context within an application and their real-time intent to deliver relevant actions, the company said.
Those results could be something like “triggering an in-app guide, surfacing enterprise search results, displaying a DAP nudge or invoking a third-party AI tool,” officials said.
“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 this equation, Batti said, via a “userization” approach, in which the AI technology adapts to the user’s context. “This is not just about improving adoption,” Batti said. “It is about enabling every user to succeed in an environment where systems are changing faster than people can keep up.”
The first three Whatfix AI Agents are Authoring, Insights and Guidance. The Authoring Agent is designed to generate “fully configured in-app experiences using simple natural language prompts, including pop-ups, walkthroughs and advanced visibility rules,” the company said. It’s intended to enable those responsible for creating guidance content, such as training teams and application or product owners, to publish at scale without needing technical expertise.
An example of this would be making a tip appear when a user lands on a new dashboard. When the user adds a prompt in natural language, the Authoring Agent will generate the content, apply targeting logic and style it automatically, the company said.
The Insights Agent is a conversational interface to help users interact with product analytics data. Stakeholders across functions can ask questions in natural language to uncover user behavior and drop-off patterns to help identify product features that need enhancements or better adoption. A question like “How is the new workflow performing?” is designed to return a clear visual summary, highlight friction points and recommended next steps, officials said.
Finally, the Guidance Agent is intended to deliver “precise, AI-generated answers in the flow of work, distilling complex or lengthy knowledge into short, contextual summaries,” the company said. This is meant to change how users access information to reduce time-to-answer, removing the need to switch tabs, read long documents or escalate to support.
