Automation
Intelligent automation: what it is, how it differs from basic automation and how to plan it
A plain guide for operations and IT leads comparing intelligent automation services and deciding what to automate first. It explains the term, the difference from rules-based automation, and what a sensible strategy contains.
Intelligent automation is the use of AI, such as language models and document reading, together with workflow software to carry out work that used to need a person's judgment. Basic automation follows fixed rules: if this field equals that value, do this step. Intelligent automation can also read an email or a scanned form, decide what kind of case it is, and route or draft the next step, while a person handles the exceptions. A good strategy starts with one workflow that has clear inputs and outputs, names who reviews the results, and measures the time and errors before and after.
plain answer
What is intelligent automation?
The term covers a mix of tools: workflow software that moves work from step to step, connections between business systems, and AI that handles the parts that used to need reading and judgment. Reading an invoice that arrives in a different layout each time is one example. Sorting incoming requests by what the sender actually means is another.
You will also see it sold as intelligent automation solutions or intelligent workflow automation; the questions below apply to all of them.
Vendors use the word loosely, so ask what exactly the AI part does. We recommend a design in which the AI does a narrow, named job, and the workflow software around it controls what happens next.
comparison
How is intelligent automation different from basic automation?
The simplest way to see the difference is to compare what each can handle.
| Question | Basic (rules-based) automation | Intelligent automation |
|---|---|---|
| Inputs | Structured and predictable, such as a form with fixed fields. | Also messy or free-form, such as emails, scans and notes. |
| Decisions | Fixed if-then rules written by a person. | Classification or drafting by an AI model, inside limits a person sets. |
| When it fails | Stops on anything outside its rules. | May give a plausible but wrong answer, so it needs checks. |
| What people do | Handle the exceptions the rules cannot. | Review a sample of results and handle the cases the system flags. |
services
What do intelligent automation services include?
Services from different providers vary, but the work usually has four parts. Discovery, where the provider maps a workflow, counts the volume and finds the exceptions. Design, where the steps are split between software, AI and people, and the limits of the AI are written down. Build and connect, where the workflow is built and linked to your systems. Run and improve, where results are reviewed, errors are logged and the design is adjusted.
When comparing providers, ask who owns the workflow after launch, how results are checked, what is recorded about each action, and what happens when the AI is unsure. In our view, a provider who cannot answer those plainly is selling a demo, not a service.
strategy
What goes into an intelligent automation strategy?
A workable strategy is short and specific.
1. Pick one workflow
Choose one with clear inputs, a clear finished state and enough volume to matter.
2. Measure first
Record the time taken and the errors found now, so you can compare after.
3. Split the steps
Decide which steps software does, which the AI does and which a person keeps.
4. Set the review rule
Say who checks results, how often, and what happens to a result that fails the check.
5. Run a small pilot
Use one team for a short period, with a way to switch back to the manual process.
6. Decide on scaling
Expand only if the measures improved and the reviewers are comfortable with what they see.
kriv fit
Where does Kriv AI fit?
Kriv AI designs and builds AI workflow automation for teams that need to be able to show how each step was done. We can help you choose the first workflow, set the review rules and train the people who will run it. Our pages on AI workflow automation and on the difference between agentic AI and traditional automation go deeper on the design questions. Scope and price are set after a short discovery call.
Straight answers
Frequently asked questions about Intelligent automation: what it is, how it differs from basic automation and how to plan it
Is intelligent automation the same as robotic process automation?
Not exactly. Robotic process automation follows fixed rules to repeat steps in software. Intelligent automation adds AI so the workflow can also handle messy inputs such as emails and scanned documents. Some products combine both.
What should we automate first?
A workflow with clear inputs, a clear finished state, enough volume to matter and an owner who wants it fixed. Avoid the most sensitive or most irregular process for a first project.
Does intelligent automation replace staff?
It changes what people do. Staff handle the exceptions and review a sample of results. Decide with your team what time freed up will be used for, and say so before the pilot starts.
How do we check that the AI part is working?
Measure the time and errors before the change, then sample the results on a schedule and log every case a reviewer corrects. If corrections rise, pause and look at what changed.
What should we ask an intelligent automation provider?
Who owns the workflow after launch, how results are checked, what is recorded about each action, and what happens when the AI is unsure.
Talk to the team that would do the work
Bring your requirements to a working session with the person who'll actually deliver.
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