UiPath and StackAI sit on opposite ends of the automation spectrum. UiPath is the classic example of traditional RPA: rule-based bots, UI scripting, and deterministic workflows. StackAI, on the other hand, is built for a very different world. One where LLMs, orchestration, and adaptive reasoning drive automation. It supports browser automation through tools like Hyperbrowser, but it’s not trying to be “another RPA platform.” 

That’s not the point of StackAI, and it’s not where the market is going.

In this article, we’ll unpack how both platforms approach automation from fundamentally different angles and why an AI-native, agent-centric model like StackAI’s is much more aligned with where enterprise automation is heading. We’ll break down how UiPath’s traditional RPA layer works, how StackAI uses LLM agents plus tools like Hyperbrowser to cover browser and UI actions when they’re actually needed, and how StackAI can orchestrate or power existing RPA rather than attempting to replace it outright.

We’ll also clarify when it makes sense to reach for StackAI instead of legacy RPA. The goal is to give you a clear, practical understanding of where each platform fits, how they differ, and why agentic automation is becoming the default path forward for enterprise teams.

🔗 Learn More: See this piece for an overview of StackAI.

Comparison Table

Before we go deeper, here’s a side-by-side view of how UiPath and StackAI compare across the areas that matter most for enterprise automation. This table highlights the core differences in focus, capabilities, and long-term fit.

Platform Focus, Capabilities, and the Role of RPA

The core difference between UiPath and StackAI comes down to what each platform is fundamentally optimized for. UiPath is built around traditional RPA, while StackAI is designed for LLM-native, agentic automation, which are two very different paradigms with very different strengths.

UiPath

UiPath is deeply rooted in classic RPA. Its core competency is automating repetitive, rule-based browser and desktop tasks by mimicking human clicks and navigation at scale. This makes it well suited for workflows like downloading documents, scraping data, or stepping through UI-heavy business applications.

Although UiPath has introduced AI capabilities, the platform still operates on deterministic, explicitly defined workflows that require ongoing maintenance whenever the UI or process changes. Its positioning remains firmly RPA-first, with a strong focus on low-code design, enterprise connectors, and governance frameworks for UI-driven automation.

StackAI

StackAI takes a fundamentally different approach. The platform is built from the ground up for LLM agents, enabling knowledge retrieval, research, reasoning, data extraction, and document generation, where natural language orchestration replaces UI scripting.

Rather than trying to replicate RPA, StackAI extends it. Agents can trigger browser or RPA actions whenever needed:

• Hyperbrowser for scalable, agent-driven browser automation (form filling, extraction, navigation) without relying on fragile UI scripts.

• Integrations with traditional RPA tools when a workflow genuinely requires deep UI automation or legacy system interaction.

• Optional computer-vision automation (via tools like MCP), available when required but not the product’s core.

In StackAI, RPA is a flexible capability but not the foundation. Agentic automation runs the workflow, with RPA acting as one of many tools an agent can call. This allows StackAI to handle multi-step processes with reasoning, validation, branching logic, and adaptive decision-making. The outcome is a far more resilient automation layer that scales with complexity instead of breaking under it.

🔗 Learn More: Get 70+ free templates for real AI agents, no code necessary.

Onboarding Experience

StackAI offers a rapid and guided onboarding process that allows users, including those non-technical, to get started quickly. Its interface emphasizes simplicity, with helpful templates that ease users into building AI workflows without the need for coding expertise.

In contrast, UiPath’s onboarding curve is steeper, requiring dedicated training for users to become proficient. New users frequently find the setup complex and sometimes overwhelming, and end up needing more technical background or developer support to get productive.

Interface Clarity and Modern Design

StackAI’s UI stands out with a clean, modern, and intuitive design. The layout is streamlined to reduce clutter, making key functions and tools easy to locate and understand. This clarity allows users to focus more on workflow creation and less on navigating confusing menus.

StackAI is explicitly designed for business users, product teams, and analysts who may not have coding skills. Its drag-and-drop builder, combined with built-in AI assistance, facilitates quick prototype building and rapid iteration without requiring specialist knowledge.

UiPath’s interface, while powerful, tends to feel cluttered and outdated in comparison. Users have reported difficulty navigating the platform due to its dense options and technical jargon, which can slow down everyday tasks and frustrate less technical team members.

UiPath, although providing drag-and-drop tools, often requires users to have IT or RPA specialist support, especially for integrating complex automations or handling exceptions. This dependency can lengthen development cycles and increase project costs.

Prototyping Speed and Agility

StackAI enables users to quickly prototype ideas with minimal steps, making it ideal for agile teams that require fast proof-of-concept cycles. Its LLM integration also automates many routine tasks, speeding up development further. All of this can be done without sacrificing on governance and security thanks to built-in features that keep sensitive data protected.

🔗 Learn More: Download the free, complete guide to enterprise AI governance. 

UiPath workflows, by contrast, require more detailed configurations and testing phases, resulting in slower prototyping and less agility in adapting to evolving project needs or market conditions.

Overall Look and Feel

Users describe StackAI as sleek, modern, and genuinely enjoyable to use, with a well-thought-out flow that reduces friction and cognitive load. This positive experience encourages experimentation and innovation.

UiPath, while functionally rich, is often characterized as feeling “enterprise bulky” or clunky, lacking the polish and intuitive fluidity that modern AI-native platforms provide.

Decision Factors, Use Cases, and Why StackAI Stands Out

StackAI stands out because it allows organizations to build intelligent automation without heavy coding or RPA-specialist expertise. Agent workflows adapt and validate dynamically, powered by native LLM integrations that bring reasoning and context-awareness to processes where traditional RPA is rigid. StackAI’s integrations are designed to be fast and intuitive which helps teams to connect AI, browser automation, APIs, knowledge bases, and external RPA tools in a single orchestrated flow. Security and compliance are enterprise-grade (SOC2, GDPR, HIPAA) with granular IP controls, which makes StackAI suitable for regulated industries where trust and governance are essential.

The choice between UiPath and StackAI ultimately depends on what an organization is optimizing for. If the primary requirement is large-scale, repetitive UI automation like downloading documents, navigating forms, or interacting with legacy systems, UiPath provides a mature, established RPA engine built specifically for that purpose.

However, many teams today are seeking more flexibility, intelligence, and adaptability than traditional RPA can offer. This is where StackAI becomes a stronger fit. StackAI is designed for AI-native, agentic workflows: research, knowledge retrieval, document generation, intelligent data extraction, and multi-step reasoning. In these contexts, browser automation is just one tool among many an agent can call but not the central pillar the entire platform is built around.

The decision comes down to intent: Is UI automation the final goal, or is it one step inside a broader, AI-driven workflow?

If the value lies beyond the UI layer, StackAI offers significantly more leverage and long-term scalability. UiPath excels when the job is purely UI automation. StackAI excels when organizations need automation plus intelligence, reasoning, and flexibility and when they expect workflows to evolve rather than stay static. Want to learn more? Get a demo here.