Artificial intelligence and business automation are increasingly going hand in hand, and some startups are already going all-in on this combination. Emergent is one of those companies that decided to make a significant shift in its direction. The startup, previously known for AI software development, is pivoting toward something far more ambitious: automating the day-to-day operations of small businesses. The one who revealed this strategic turn was cofounder and CEO Mukund Jha himself, in an interview with the Economic Times.
According to him, the goal is clear and pretty bold. Emergent wants to expand its reach well beyond software development, transforming the company into a true operating system for small businesses. On top of that, the plan includes significantly increasing the share of revenue coming from AI agents over the next 15 to 20 months. This move comes at a really interesting time, when tech startups around the world are racing to turn AI agents into real working tools, not just fancy demos. And Emergent seems to be among the first to actually get this off the ground. 🚀
What Is Changing in Emergent’s Strategy
For a long time, the artificial intelligence market was concentrated around large corporations with massive budgets and robust technical teams capable of implementing complex solutions. Small businesses were left out of the conversation, watching from the sidelines while industry giants reaped the benefits of automation. Emergent identified exactly this gap and decided it was time to change this scenario in a concrete and accessible way. The pitch is not about selling yet another software tool but rather delivering something that works as the operational backbone of a small business, connecting processes, reducing manual tasks, and freeing up the entrepreneur to focus on what truly matters.
According to Mukund Jha, the company is already testing agents capable of staying active in the background, monitoring business metrics and helping with very specific tasks. Among the examples he mentioned are cash flow analysis, appointment scheduling, and social media management. In other words, we are not talking about something generic here, but agents designed to solve real, recurring pain points for people running a small business. And there is more: according to the executive, more than half of Emergent’s team is currently dedicated to developing this core agent technology, which shows just how big of a bet the company is making on this path.
Receive the best innovation content in your email.
All the news, tips, trends, and resources you're looking for, delivered to your inbox.
By subscribing to the newsletter, you agree to receive communications from Método Viral. We are committed to always protecting and respecting your privacy.
The concept of an operating system for small businesses that Mukund Jha brought up goes far beyond a nice metaphor for investor presentations. It represents a real shift in how technology can be delivered to someone who runs a bakery, a small clothing store, an accounting office, or any other smaller-scale business. When you think about an operating system, you think about something that manages resources, distributes tasks, and keeps everything running in harmony. That is exactly what Emergent wants to do with the operational processes of these businesses, using AI agents as the central pieces of this engine, acting autonomously and intelligently on a daily basis.
It is worth noting that this strategic transition does not happen out of nowhere. It reflects a global trend that has been gaining momentum within the startup ecosystem, where the focus has shifted from simply creating impressive language models or beautiful interfaces to delivering real, measurable, and continuous value for businesses of all sizes. Emergent is riding this wave with a proposition that, if executed well, could redefine what it means to have access to artificial intelligence as a small business owner.
AI Agents as a Revenue Engine
One of the most relevant aspects of this strategic pivot is the bet on AI agents as the primary revenue source in the coming months. Unlike traditional software models, where the customer buys a license and uses the tool passively, AI agents act proactively, executing tasks, making decisions within defined parameters, and interacting with other systems autonomously. This completely changes the value equation delivered to the customer, because the outcome is no longer a tool available for use but actual work being done, continuously and at scale.
The idea of agents running in the background and monitoring key indicators is especially powerful for small businesses. Imagine an agent that tracks cash flow and alerts the entrepreneur when something is off, or one that automatically organizes the appointment schedule as new bookings come in, or even one that handles social media posts without requiring hours of manual effort. These were exactly the tasks mentioned by Mukund Jha as part of the company’s current tests, and they point to a very practical path for automation to reach the people who need it the most.
For small businesses, this means that activities like responding to customers, organizing schedules, generating basic financial reports, managing routines, and tracking metrics can all be delegated to these agents without needing to hire more people or invest in lengthy training programs. Automation stops being a privilege reserved for companies with IT departments and becomes something accessible to those with lean teams who need maximum efficiency. And when the agent learns from the business’s history, it becomes increasingly aligned with the specific needs of that context, which raises the perceived value over time.
The projection of increasing the revenue share from these agents over the next 15 to 20 months shows that Emergent is not just testing an idea but building a structured business model around this bet. That requires not only well-developed technology but also an efficient go-to-market strategy focused on educating the audience and demonstrating concrete results to convince small business owners that artificial intelligence can be a real ally, not a distant promise. 💡
Why This Move Matters for the Startup Ecosystem
What Emergent is doing is not an isolated case but represents a clear signal of where the tech market is heading. Startups around the world are realizing that the hype cycle around artificial intelligence needs to evolve into a cycle of practical results. Impressive demos on conference stages are no longer enough. What investors, customers, and the market at large want to see now are real use cases with clear impact metrics and sustainable business models. Emergent, by migrating to this model, is responding to exactly that demand.
Another important point is that this move opens up space for a new category of startups that will compete not just for the attention of large corporations but for the massive market of small and medium-sized businesses that have not been properly served by the digital revolution yet. This segment represents a huge share of the global economy, and the companies that manage to create accessible, intuitive, and efficient solutions for this audience will have an enormous competitive advantage in the years ahead. Automation of operational processes, in this context, is one of the most natural entry points and one that faces the least resistance from entrepreneurs.
Beyond that, Emergent’s move also serves as a reference for other startups trying to figure out how to consistently monetize their AI solutions. The agents-as-a-service model, where the customer pays for the work performed and not just for platform access, could become one of the most dominant formats in this new phase of artificial intelligence applied to business. It is a paradigm shift that benefits both the provider and the buyer, creating a more direct relationship between the value delivered and the value charged. And when that equation makes sense for both sides, growth tends to happen in a much more organic and sustainable way. 🎯
What to Expect Going Forward
With an ambitious timeline of 15 to 20 months to turn AI agents into the star of Emergent’s revenue, the market will have a relatively short window to see whether this strategy actually materializes. The big challenge is not just in the technical development, which the startup has already shown it can deliver by dedicating more than half its team to this front, but in adoption by small business owners, who often still carry a natural skepticism toward new technologies, especially when it involves delegating operational decisions to a machine.
That is why communication and the user experience will be just as important as the technical quality of the agents themselves. If the interface is complicated, if the initial setup takes too long, or if the results do not show up fast enough, the resistance will be significant. But if Emergent manages to create an experience where the small business owner sees value within the first few hours of use, the trend is that adoption will accelerate significantly through referrals and real success stories. That is the virtuous cycle that any automation startup needs to build in order to grow consistently.
At the end of the day, what Emergent’s story shows us is that we are entering a much more mature and practical phase of artificial intelligence. A phase where what will matter is not who has the most powerful model or the most impressive demo, but who can turn technology into real results for real people with real problems. And this is a race that is still just getting started, with plenty of room for those who show up well prepared. 🧠
