Organizations are moving beyond simple task automation and into a new era where AI reasoning and RPA execution work together to reshape digital work. This blend, known as Intelligent Automation, is quickly becoming the foundation for modern enterprise productivity.

We won’t go into the details of what AI and RPA are in this article.  If you’re interested in learning more about that, check out the Intelligent Automation whitepaper from NovoCircle.  Here, we’ll discuss how these two technologies work together.

AI as the brain, RPA as the hands

We’re going to use an analogy here to help you understand these two technologies and how they fit together to enable Intelligent Automation.

AI = The Brain
Ideal for handling ambiguity—interpreting unstructured data, inferring intent, and determining what should happen next.

RPA = The Hands
Perfect for deterministic, rules‑based tasks: moving data between systems, executing structured workflows, and ensuring consistent execution.

Together, they form a coordinated system capable of handling both black‑and‑white decisions and gray‑area judgment.   The brain is of little use without the means to act.  Hands need guidance to help them figure out what to do.  Put them together… voila!  You’ve got something powerful.  Let’s dig into some examples of using RPA and AI together.

Use AI to Resolve Exceptions & Ambiguity

Traditional RPA is brittle—it breaks when data doesn’t look the way it expects.  That’s okay, because when you combine RPA with AI in the context of Intelligent Automation, AI provides the flexibility that RPA lacks.

• When RPA hits an exception or unstructured data…
  → It routes the task to an AI agent.
• The AI interprets the content, extracts meaning, and hands back structured data…
  → Allowing RPA to resume seamlessly.

This unlocks automation scenarios previously considered “too complex” for legacy RPA tools.  Think about this in the context of your business processes.  Where have you assumed that humans needed to be involved, and can those assumptions now be reconsidered?

Add Orchestration Agents to Coordinate the Workflow

Complex automation requires coordination, not just execution. These can be RPA-based rules agents, but more recently, we have seen significant success with AI agents for orchestration because they can better handle situations where the choice is unclear.

Orchestration agents act as “traffic controllers” to keep your workflows moving.

• Manage interactions between RPA bots, AI agents, and humans
• Define guardrails & permissions
• Pause workflows for human approval
• Route work intelligently across systems

This makes automation safer, governed, and enterprise‑grade.  You may not think you need this level of robustness, but you really do!

Standards help make this work

Modern automation is moving toward open, modular ecosystems enabled by interoperability standards.  This is what enables AI and RPA to work together.

• MCP (Model Context Protocol): Defines how tools describe their capabilities
• A2A (Agent‑to‑Agent): Allows agents from different vendors to collaborate

This means you can mix‑and‑match the best:

• RPA tools
• AI models
• Orchestration frameworks

Without being locked into a single platform. Just like LEGO®, you can plug, play, and evolve.

So many choices, how to decide?

There are seriously tens of thousands of AI agents and automation capabilities available on the market today.  Your Intelligent Automation solution should combine the right capabilities for the right purpose.  In most cases, you’ll use a combination of tools, and because of interoperability standards, they should work together.  Here are some basic guidelines to help you sort through the noise and focus on the task at hand.

Cross‑System Execution – Use RPA

Tools like Power Automate or MuleSoft handle data movement and rules‑based workflows.

Reasoning & Decisioning – Use AI Agent platforms

Tools like Microsoft Copilot Studio provide inference, context understanding, and cross‑system reasoning.

RPA alone isn’t enough. AI alone isn’t enough. The future belongs to organizations that combine both into a coordinated, agent‑based digital workforce.  Would you like to learn more?  Check out the Intelligent Automation whitepaper and visit our website to request a free consultation with an Intelligent Automation expert.