AI process automation: how agentic workflows make your business processes smarter
AI process automation is the next step for businesses that already work with workflows. A classic workflow follows fixed rules: if this happens, do that. As soon as something deviates, the process stalls and an employee has to step in. An AI agent in the workflow takes over precisely those decision points. It reads a document, assesses an exception and chooses the right next step.
That sounds promising, and it is
Even so, caution is called for. Gartner expects that more than 40 per cent of all agentic AI projects will have been scrapped by the end of 2027. The causes are rising costs, unclear business value and inadequate risk management. The research firm's advice is clear: only deploy agents where they demonstrably add value.
What is AI process automation?
With process automation using AI, you combine two things: the reliability of a workflow and the judgement of an AI agent. The workflow safeguards the structure of the process. The agent takes over the steps that have so far needed a person, because something had to be read, weighed up or decided.
Think of a purchase request. The workflow determines that every request is registered, assessed and approved. The agent reads the request, checks whether the budget is sufficient, compares the price with previous orders and suggests the right approver. If everything checks out and the amount is within the limits, it forwards the order straight away.
Intelligent process automation
The combination of workflows, AI and integrations is also known as intelligent process automation. The difference with earlier forms of automation lies in how it deals with variation. Fixed rules work fine as long as everything is predictable. But in practice, hardly any business process is completely predictable. Customers phrase their questions differently, documents have a different layout and there are always exceptions. That is exactly where AI makes the difference.
If you first want to understand how AI agents work in general, read our guide to AI agents.
Workflow automation or agentic workflows?
Classic workflow automation and agentic workflows exist side by side. Each has its own strengths.
| Classic workflow | Agentic workflow | |
|---|---|---|
| Works on the basis of | Fixed rules and conditions | Goals, context and fixed boundaries |
| Handles unstructured input | No | Yes, such as emails and documents |
| Exceptions | Stops or passes to a person | Assesses them itself within limits |
| Predictability | Complete | High, provided it is set up properly |
| Maintenance | Adjusting rules with every change | Updating instructions and knowledge |
| Ideal for | Stable, unambiguous steps | Steps that require understanding or judgement |
The best of both
The strength lies in the combination. Let the workflow do what it is good at: keeping the order of steps, recording data and enforcing deadlines. Deploy the agent at the moments where understanding is needed. That way you keep a predictable process with the flexibility of AI.
So an agent doesn't have to take over your entire process. Often a single agent at a single decision point already delivers the biggest gain. Gartner also notes that many applications marketed as agentic don't need an agent at all. Sometimes a good workflow is simply enough. Read more about the differences in AI agent vs. chatbot vs. RPA.
Which business processes should you automate with AI agents?
Not every process is suitable. The best candidates combine high volume with decision points that currently need an employee. Below is an overview of the processes where SMEs gain the most from business process automation in practice.
Low-code automation as a foundation
An agent needs an environment to work in: data, processes and integrations. A low-code or no-code platform provides that foundation. With it, you capture your processes visually, without custom code, and add agents where they add value.
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Quick to adapt
Business processes change. With low-code automation you adapt a process without a development project.
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One data model
Workflows and agents work with the same data and the same access rights.
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Overview
You can see at a glance which steps a workflow performs, which an agent performs and which a person performs.
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Business and IT together
Process experts can help build, while IT safeguards the frameworks and security.
Integrations with other systems
Processes rarely stop at the boundaries of a single system. An order process touches your CRM, your ERP and your accounting software. Modern platforms integrate through APIs, and increasingly also through the Model Context Protocol, which was designed specifically to give AI agents secure access to other systems. You can read about the difference between the two on our page about Zoho MCP.
Keeping control of agentic workflows
The more an agent decides for itself, the more important it is that you keep a grip on things. Fortunately, autonomy doesn't have to come at the expense of control. With a few clear agreements you keep the overview.
Why AI process automation fails, and how to prevent it
Gartner's forecast that more than 40 per cent of agentic AI projects will be scrapped is no reason to wait and see. It is, however, a reason to approach it smartly. After all, the causes of failed projects are well known.
| Cause | How to prevent it |
|---|---|
| Starting from the hype | Start with a concrete process problem, not with the technology |
| No clear business case | Determine in advance what the process costs now and what the agent needs to deliver |
| Costs get out of hand | Start small, measure AI usage and only scale up once the return is clear |
| Inadequate risk management | Set out the decision-making scope, checkpoints and logging before the agent goes live |
| An agent on a messy process | Get the process in order first. An agent doesn't make a bad process better |
| An agent where a workflow is enough | Only use an agent where understanding or judgement is needed |
Redesign instead of patchwork
Gartner advises redesigning processes with AI in mind where necessary, rather than bolting an agent onto an existing process. For every process, ask yourself: how would we set this up if we started again today, with a digital colleague on board? Often, steps then disappear that only existed because manual work was needed.
How to calculate the investment and return in advance is explained in costs and ROI of AI agents.
Agentic workflows in Zoho and Creatio
For AI process automation you don't need separate tools. Zoho and Creatio combine workflows, agents and integrations in one platform.
Which one suits you?
Zoho is often the logical choice if you want to automate across the board with an affordable suite. Creatio is a better fit for processes with many steps, departments and exceptions. As an implementation partner for both platforms, Mobile XL helps you weigh up the options. Also take a look at our service page on process automation.
How to choose and automate your first process
The choice of your first process largely determines whether your project succeeds. This approach gets you off to a good start. You will find a detailed step-by-step plan in implementing an AI agent.
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Take stock of your processes
Make a list of processes with high volume and a lot of manual work. For each process, note where employees currently have to read, assess or decide.
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Choose on value and feasibility
The ideal first process is important enough to show results, but manageable enough to go live quickly.
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Map out the current process
Record all the steps and cut whatever is unnecessary. Never automate a process you don't yet understand.
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Define the agent's role
Choose the decision points where the agent makes the difference and set out its decision-making scope.
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Build and test in phases
Let the agent make proposals first, check the outcomes and then give it more independence.
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Measure and scale up
Compare the key figures with the situation beforehand. Only tackle the next process once the first one works.
Our workflows already ran well, but got stuck at every exception. Now the agent makes those decisions and the process simply keeps going.
Smarter processes, without losing control
With agentic workflows you can also automate the steps that have always needed an employee until now. The key to success is a well-thought-out approach: a concrete process problem, a clear business case and clear boundaries for the agent.
Mobile XL helps SMEs in the Netherlands and Flanders automate processes smartly in Zoho or Creatio, from process analysis to an agent that runs alongside your team every day.
Frequently asked questions about AI process automation
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AI process automation combines workflows with AI agents. The workflow safeguards the structure of the process, the agent takes over steps that require understanding or judgement, such as assessing a document or an exception.
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Agentic workflows are processes in which an AI agent independently carries out steps and makes decisions within fixed boundaries. The agent works towards a goal instead of only following fixed rules.
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A regular workflow follows fixed rules and stops at exceptions. An agentic workflow can deal with unstructured input such as emails and documents, and assesses exceptions itself within the limits you set.
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Suitable processes include document processing, internal requests and approvals, order processing, returns and complaints, and sales and quoting processes. Processes with high volume and decision points benefit most.
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It is not strictly necessary, but it is highly recommended. A low-code platform gives agents an environment with data, processes and integrations, and makes it easy to adapt processes.
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Set out for each step what the agent may decide on its own, build in checkpoints for sensitive decisions, log every action and track performance with a few key figures.
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Yes. Often that is actually the best way to start. You add an agent at the decision point that currently needs an employee, and leave the rest of the workflow as it is.
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The main causes are starting from the hype, an unclear business case, rising costs and inadequate risk management. An agent on a messy process also rarely delivers results.
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Choose a process with high volume and a lot of manual work that is manageable enough to go live quickly. Map it out first and cut unnecessary steps before you automate.
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Yes. Zoho combines workflows in the apps, Zoho Creator and Zoho Flow with Zia Agents. Creatio is a no-code process platform in which you choose for each step whether a workflow, an employee or an agent does the work.
Curious which process would deliver the most for you?
Together we will identify your best first candidate.