Table of Contents
Introduction
Vendors use "agentic AI" and "RPA" almost interchangeably in pitch decks, which makes it hard to tell what you are actually buying. The two solve different problems, and mixing them up leads to the most common automation failure mode: automating a process nobody should have automated first.
What RPA Actually Does
Robotic process automation replays a fixed sequence of steps against a system, the same way every time: log in, copy a field, paste it into another system, submit a form. It has no judgment built in. It does exactly what it is configured to do, which is its strength and its limit. Feed it a process that has exceptions, and it either breaks or silently does the wrong thing.
What Agentic AI Adds
Agentic AI handles the part of the work that requires judgment: deciding which processes are worth automating, drafting a risk assessment, ranking cost-saving alternatives. The defining feature is not that it is smarter than RPA, it is that it checks its own work. True North Solutions' tools run a draft-then-audit loop: one AI produces the output, a second independent AI grades it against a fixed rubric, and it gets revised until it clears the bar.
Where the Two Connect
The clearest real example is Microbot Miner. Feed it a process inventory, frequency, duration, error rates, systems touched, and it scores every candidate against a 7-criteria readiness rubric. That scoring and ranking is the agentic AI step. The output is a ranked backlog with Power Automate flow designs attached, which is the RPA step, deployed only after a human reviews and approves it.
Which One to Start With
If the bottleneck is a known, fixed, repetitive task, RPA alone may be enough and agentic AI is overkill. If the bottleneck is not knowing which of fifty candidate processes deserves automation budget first, that ranking judgment is what agentic AI is for. Most manufacturing operations actually need both, in that order: agentic AI to decide what is worth building, RPA to build it.
FAQ
Is agentic AI a replacement for RPA?
No. RPA still handles fixed, rule-based steps better than anything else: the same click sequence, the same data entry, every time. Agentic AI handles the parts of a process that require judgment, like ranking which processes are worth automating in the first place.
Where does the handoff between them actually happen?
In practice, an agentic AI step decides what to do, and an RPA step does it. True North Solutions' Microbot Miner tool sits exactly at that handoff: it uses agentic AI to score and rank automation candidates, then produces the RPA flow design for the ones worth building.
Which one should a manufacturing team start with?
Start with whichever one matches the actual bottleneck. If the problem is a slow, repetitive manual task with a known fixed procedure, RPA alone may be enough. If the problem is not knowing which of fifty candidate processes to automate first, that ranking judgment is what agentic AI is for.