Agentic Workflows: What They Are and How They Work
An agentic workflow is a process run by AI agents that can plan, act across systems, and adapt, rather than follow a fixed script. Here is what agentic workflows are, how they differ from traditional automation, their building blocks, and how they apply in finance.
Traditional automation does exactly what it is told, step by step, and breaks the moment reality does not match the script. Agentic workflows work differently. Instead of following a fixed set of rules, they are run by AI agents that can understand a goal, plan the steps to reach it, act across systems, and adapt when something unexpected happens. It is the difference between a workflow that executes instructions and one that pursues an outcome.
This guide explains what agentic workflows are, how they differ from traditional automation, their building blocks, and what they look like in finance.
What is an agentic workflow?
An agentic workflow is a process carried out by one or more AI agents that can reason about a goal, decide what steps to take, act across tools and systems, and adjust based on what they find, with a human overseeing the outcome. Rather than a predefined sequence of rules, it is a goal handed to an agent that figures out how to accomplish it, within guardrails.
A traditional workflow is a recipe: do step one, then step two, then step three. An agentic workflow is a goal: get this done, and figure out the steps yourself, checking with me at the points that matter.
Agentic workflows vs. traditional automation
The contrast is sharpest against rule-based automation and RPA, which follow fixed scripts:
| Traditional automation | Agentic workflow | |
|---|---|---|
| How it works | Follows predefined rules and scripts | Reasons about a goal and plans the steps |
| Handling exceptions | Breaks or escalates | Adapts and finds another path |
| Inputs | Needs structured, predictable data | Handles messy, unstructured inputs |
| Change | Requires reprogramming | Adjusts to new situations on its own |
| Best for | High-volume, stable, repetitive tasks | Complex, variable, judgment-adjacent work |
The practical upshot: traditional automation is brittle and agentic workflows are resilient. Where a rule-based bot stops the moment an invoice has an unexpected format or an account does not reconcile cleanly, an agent can reason through the exception. For more on this shift, see agentic automation.
The building blocks of an agentic workflow
Most agentic workflows follow a loop of the same core steps:
- Trigger. Something kicks off the workflow: a schedule, an event, or a request in plain language.
- Plan. The agent breaks the goal into the steps needed to reach it.
- Act. The agent executes those steps across the relevant tools and systems, pulling data, running calculations, drafting outputs.
- Adapt. When the agent hits something unexpected, it adjusts its plan rather than failing.
- Review. A human reviews and approves the result, and the agent traces its work back to source.
More complex workflows use multiple agents that each own a part of the job and hand off to one another, coordinated toward a shared outcome.
Agentic workflows in finance
Finance is full of work that is too variable for rule-based automation but too repetitive to want humans doing it by hand, which is exactly where agentic workflows fit. Examples:
- The close. An agent reconciles accounts, investigates the exceptions that do not match, drafts entries, and assembles reporting.
- Cash forecasting. An agent pulls live data across banks and systems, builds the forecast, and refreshes it as new information lands.
- Collections. An agent monitors the receivables aging, prioritizes accounts, and drafts follow-ups.
- Invoice processing. An agent captures, codes, and matches invoices, handling the ones that do not fit the template instead of kicking them to a person.
In each case the agent is not running a fixed script. It is pursuing an outcome across the systems finance already uses, adapting to what it finds, with a human approving. See more on AI agents in finance automation.
Why agentic workflows matter
- They handle the real world. Messy inputs and exceptions are the norm in finance, and agentic workflows absorb them instead of breaking.
- They cut manual work. The judgment-plus-rules tasks that consumed hours get done by agents, with humans reviewing.
- They scale without reprogramming. As the business changes, agents adapt rather than needing a developer to rewrite the automation.
Frequently asked questions
What is an agentic workflow?
An agentic workflow is a process run by AI agents that reason about a goal, plan the steps, act across systems, and adapt to what they find, with a human overseeing the outcome. Unlike traditional automation, it pursues an objective rather than following a fixed script.
How are agentic workflows different from RPA?
RPA follows predefined rules and breaks when inputs or situations change. Agentic workflows reason about the goal and adapt, handling unstructured data and exceptions that would stop a rule-based bot. Agentic workflows suit complex, variable work; RPA suits high-volume, stable, repetitive tasks.
What are the steps in an agentic workflow?
A trigger starts the workflow, the agent plans the steps to reach the goal, acts across the relevant systems, adapts when it hits something unexpected, and a human reviews and approves the result, with the work traceable back to source.
Where are agentic workflows used in finance?
In the close (reconciliations, exception handling, entries, reporting), cash forecasting, collections, and invoice processing, anywhere the work is too variable for fixed rules but too repetitive to want done by hand.
The bottom line
Agentic workflows replace the brittle, script-following model of traditional automation with AI agents that pursue a goal, adapt to the real world, and act across systems, while a human owns the outcome. In finance, where the work is variable, high-stakes, and full of exceptions, that resilience is what makes automation finally fit the job.
If you want to see agentic workflows running on your finance function, the close, forecasting, collections, and reporting, all with every number traceable, book a demo of Concourse.
