AI vs RPA vs no-code automation: which fits your task?
"Automation" covers very different technologies. Choosing the wrong one is a common reason projects cost more and deliver less than planned. Here is how to tell which fits a given task.
The three approaches
| No-code workflow automation | RPA | Generative AI | |
|---|---|---|---|
| What it does | Connects apps through their APIs: when X happens, do Y | Software robots operate screens like a person, clicking and typing | Reads, writes, summarises and classifies unstructured text and documents |
| Best for | Moving data between modern cloud apps; notifications; simple rules | Legacy systems with no API; high-volume screen-based processes | Emails, documents, free text, judgement-light writing and extraction |
| Handles variation? | Poorly — needs structured inputs | Poorly — breaks when screens change | Well — but can be wrong in plausible-looking ways |
| Typical cost shape | Subscription by volume of tasks or runs | Licences per robot plus significant build and maintenance | Per-user licences or usage-based charges |
| Main risk | Silent failures when an app changes | Brittleness and maintenance burden | Errors and inconsistency; data handling |
How to choose
- Is the input structured (form fields, database records, spreadsheet rows)? If yes, start with no-code workflow automation. It is usually cheapest and most reliable.
- Is the input unstructured (emails, PDFs, free text, call transcripts)? You probably need AI for the reading or writing step.
- Does the target system lack an API? RPA may be the only way in — but check first whether the vendor offers an integration, because RPA maintenance is expensive.
- Does the output need judgement? Keep a person in the loop and use AI to draft, not decide.
The best results usually combine them
A typical high-return workflow uses each for what it does best. For example, for supplier invoices:
- A workflow platform watches the accounts inbox and picks up each new invoice.
- AI reads the PDF and extracts supplier, date, amounts and line items into structured fields.
- The workflow platform checks totals against rules, flags anything unusual and creates a draft entry in the accounting system through its API.
- A person approves flagged items; clean ones go straight through.
The AI step handles the variation; the workflow handles the reliable plumbing; the person handles exceptions. This is usually cheaper and more robust than asking AI to do everything.
Cost implications for your ROI
- No-code platforms often price by number of runs or tasks. Estimate monthly volume and check the tier you would need.
- RPA usually has the highest setup and maintenance costs. Include maintenance explicitly; screen changes break robots.
- AI costs scale with users or usage. Include review time — see hidden costs.
Frequently asked questions
Is RPA being replaced by AI?
Not replaced so much as complemented. RPA is still the practical way to work with legacy systems that have no API, and it is predictable when screens are stable. AI adds the ability to handle unstructured inputs that RPA cannot read. Many organisations now use AI to interpret a document or email and RPA or a workflow platform to act on the result.
Can a no-code platform call AI?
Yes. Most modern workflow platforms include steps that send text or documents to an AI model and use the response in later steps. This is often the simplest way for a small business to add AI to an existing process without custom code.
Which approach is cheapest?
For structured, app-to-app tasks, a no-code workflow is usually cheapest to build and run. AI adds usage or licence costs but can remove large amounts of manual reading and writing. RPA tends to have the highest total cost because robots need ongoing maintenance whenever the screens they operate change. Compare total three-year cost, not just licence prices.
What skills do we need in-house?
For no-code and AI-assisted workflows, someone who understands the process well and is comfortable with logical, step-by-step thinking can usually build and maintain them with some training. RPA and custom builds typically need technical specialists or an external partner.
Whatever the technology, the ROI question is the same: hours saved × loaded cost, minus all costs. Run it in the calculator.