RPA, APIs, and Agentic Automation: When to Use Each

RPA vs. API: Which is Your Ideal Match?

Let’s face it. Robotic process automation (RPA) is an incredibly powerful tool in the business world, but it isn’t always the ideal tool to solve every problem. Still, due to its popularity, we’ve seen some companies push this solution to operate beyond its intended use instead of considering better-fit automation solutions, while others jump into implementing it too quickly without sufficiently planning or defining requirements for their project. Either way, their robotic process automation (RPA) implementation underperforms or flat out fails.

But how do you know if robotic process automation (RPA) is the right tool for your business processes or not?

The Power of a Technology Toolbox

Well, when approaching a process improvement project, it’s wise to have a collection of capabilities, like a technology toolbox, at your disposal.

Today’s automation landscape extends far beyond RPA and APIs. Organizations are increasingly combining workflow automation, intelligent document processing (IDP), AI, APIs, and agentic automation to create end-to-end solutions. Rather than selecting a single technology, the goal is to understand the strengths of each capability and how they work together to support the overall process.

Chris Krause, Sr. Vice President of Innovation with Naviant, shared his tips to guide you toward the right integration tool for your business processes: Robotic Process Automation (RPA) or Application Programming Interface (API):

RPA vs. API: How to Choose the Right Tool for Your Business Processes

Know the Difference:

Let’s start with the definitions of both of these tools and how they will support your transformation goals:

RPA

RPA is a technology that streamlines mundane, repetitive business processes. The RPA bot is proficient at automating repetitive tasks, performing them even more accurately and quickly than a human could. To do this, RPA bots can complete mouse clicks and keystrokes like data entry, rather than relying on a human to do the task. RPA platforms can also be used to integrate applications at the surface level like other screen scraping integration techniques.

API

An API is a pre-defined set of rules or protocols that allow applications to share information back and forth. Think of it as a common language that applications can use to exchange information. Modern software systems use these protocols to enable integrations with different types of solutions easily. APIs give you the flexibility to simplify the design, administration, and use of your integrations.

Agentic Automation

Agentic automation combines AI-powered agents with business rules, workflows, data, and enterprise systems to accomplish multi-step objectives. Unlike traditional RPA, which follows predefined instructions, agentic solutions can reason through tasks, make decisions within defined guardrails, and coordinate actions across multiple systems. APIs often enable these interactions behind the scenes, while RPA may still be used when direct integrations are unavailable.

When to Use RPA vs. API:

There is a time and place for you to use both technologies in your integration strategy, so what factors should you consider?

An API-First Approach

Well, Chris’ first suggestion is to take an API-first approach to integrating. An API will provide a quick integration (sometimes even real time), purpose-built integration that is secure. But that is not always a viable option. So here are a few other questions to review when selecting the right tools:

Cost and Timeline

Sometimes, you need to deploy a solution to support an immediate business need, and there is simply not enough time or budget to deploy a custom API solution. RPA can provide a quick and easy implementation that supports the transfer of information between your applications with a relatively low cost to maintain.

Age of Integrated Solutions

Many older legacy systems, whether commercial software or homegrown applications, do not expose APIs, so it can be difficult to integrate them with other solutions. RPA’s ability to simulate human interactions with legacy systems allows them to wrap around legacy solutions to support new functionality rather than replacing them entirely.

Flexibility Needed

Upgrades, enhancements, and changes to applications happen more and more regularly as we move further into the world of SaaS Solutions and Ever-green cloud solutions. As these changes occur, RPA solutions may not be able to complete the work initially intended during configuration. Even a slight change can throw off a bot, making RPA a more brittle integration option in certain scenarios.

Speed of Integration Needed

Real time, or near time? If the answer is that you need real time information to drive decision-making with in your process, API integrations provide you with the ability to keep systems in lock-step.

Complexity of the Solution

RPA platforms are a great fit for simple low-risk integrations, but for complex integrations with substantial amounts of data and potential security concerns, API-based integration is a safer and more reliable approach.

When Agentic Automation Makes Sense

• Work requires reviewing information from multiple systems before taking action
• Processes involve exceptions that would normally require human intervention
• Employees spend time coordinating work across teams and applications
• Organizations want AI-powered agents to manage portions of a business process while maintaining human oversight