🪄 Introducing AI agents: Revolutionize your SaaS with agentic workflows
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The SaaS industry has reached a point where innovation isn’t just optional—it’s vital for survival. With the rise of vertical AI agents, a new contender is emerging in the tech landscape, one poised to outpace traditional SaaS by offering hyper-tailored solutions that address industry-specific needs.
Vertical AI agents have the power to reimagine how businesses function, offering unparalleled levels of automation and efficiency. According to Jared Friedman from Y Combinator, the potential of these agents is staggering—they could outgrow SaaS by 10x.
For SaaS vendors, this shift begs the question, “How can we stay relevant in this AI-driven future?” The good news is that SaaS companies aren’t left behind in this evolution. By leveraging platforms like Appmixer, SaaS vendors can build AI-driven capabilities into their existing products, remain competitive, and capture the extraordinary opportunities vertical AI agents bring to the table.
This blog will explore what SaaS vendors need to do to thrive in the era of vertical AI agents and how these advanced technologies are reshaping the SaaS industry today.
Simply put, vertical AI agents are intelligent systems designed to address specific industry problems or workflows. Unlike generic AI solutions that provide broad capabilities, vertical AI agents are tailored to optimize unique, nuanced tasks within specific industries like healthcare, legal, sales, marketing, and customer support.
For instance, in sales, an AI agent might autonomously process leads, create and send follow-ups, and assign tasks to the sales representative when human intervention is necessary—all within a matter of seconds. These agents integrate seamlessly into business infrastructure, connecting both internal data and third-party tools to execute their tasks with precision.
Why are vertical AI agents different? Because they don’t just assist; they act, learn, and adapt based on context, handling complex workflows with minimal human intervention.
It’s especially the ability to 'act' and 'adapt based on context' that sets AI agents apart from the large language models and traditional chatbots we’re familiar with. Daniel Lee explained the difference between LLMs and AI agents well in this LinkedIn post:
Today’s SaaS products power nearly every aspect of modern business, but many face limitations. SaaS tools often work in silos, requiring extensive manual inputs or third-party integrations to piece together a cohesive workflow. Vertical AI agents, however, thrive in breaking down silos.
On top of that, users need to learn and adapt to different UIs and often navigate multiple interfaces to complete a simple task. AI agents may introduce a future where most SaaS applications offer a simple chat interface, with different data and logic running in the background, allowing users to complete their work in less time. This shift toward greater ease of use could form new habits and raise user expectations even higher than they are today.
Vertical AI agents reduce friction across workflows in ways existing SaaS applications cannot. For example:
The question isn’t whether vertical AI agents will disrupt SaaS—it’s how SaaS vendors can keep pace with these advancements and remain indispensable.
While vertical AI agents present a challenge, they also offer SaaS companies an incredible opportunity to add value for their customers—provided they’re willing to adapt. Here’s how SaaS vendors can leverage vertical AI agents to maintain relevance and even grow in this evolving market landscape.
As groundbreaking and complex as AI agents may seem, they can start empowering your internal teams and users within just a few weeks. With the right tools, you can ship agentic workflows quickly and with minimal R&D effort.
At Appmixer, we break the process down into three simple steps.
Using Appmixer's no-code agent builder, you can create agentic workflows of any kind—leveraging LLMs of your choice, third-party tools, internal API endpoint, databases, and custom logic to ensure your agents work exactly as you—or your users—expect.
Building the agent is simple, requires no code, and works in a drag-and-drop interface. This empowers even your non-technical teams to build custom agents on your customers' behalf, edit them in a matter of minutes, and react to new customer queries faster than ever before.
Below, see an example of a sales AI agent built in Appmixer. Your users can chat with the agent and with all the tools it has available (HubSpot, ClickUp and Twilio), it provides answer based on customers' unique context and performs actions autonomously within these tools.
Once the AI agent is built in Appmixer, it's time to embed it into your application.
The end goal is to upgrade your SaaS application and empower internal teams or end users with the potential that AI agents represent. To achieve this, you can choose from multiple UI widgets that Appmixer offers out of the box, depending on which interface best fits your or your users' needs.
Do your users expect to interact with the agent using natural language? If so, you can embed a simple script for our chat widget into the HTML of your application. This allows your users to engage with the agent inside your application in the most natural way.
If you need to offer a wider selection of AI agents, the agent marketplace widget is what you’re looking for. Appmixer excels in customization options, enabling you to adjust the look and feel to perfectly match your UI style. As a result, your users can simply select an agent and start using it.
If your goal is to give users maximum flexibility, you can embed the entire no-code agent builder into your app, allowing users to create their own agents without writing any code. Embedded via JavaScript SDK, the agent builder feels like a seamless part of your application, enabling your users to access powerful features without ever leaving your product.
When any of the UI widget is embedded into your application, you can finally empower your users to use the AI agent–right inside your product. In case of the chat widget, the interaction is as simple as chatting with the agent inside your product, and seeing it automating even very complex tasks on your users' behalf.
It’s clear that vertical AI agents are no passing trend. These intelligent systems are reshaping industries, providing businesses and individuals with tools capable of handling increasingly complex workloads faster, smarter, and more affordably than traditional SaaS solutions.
But the rise of these agents doesn’t mean the end of SaaS—it means evolution. SaaS vendors that integrate vertical AI agents into their offerings stand to gain a competitive advantage by delivering tailored solutions, stronger customer loyalty, and greater opportunities for growth.
Take action now. Evaluate platforms like Appmixer to see how easily you can incorporate AI agents into your SaaS ecosystem. The time to experiment with AI-powered workflows is here, and the potential rewards are as vast as the industries your business serves.
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