AI agents for business: what they are, how they work and where they help
What is an AI agent, how does it work and which tasks should a business hand over to one? A clear definition, practical use cases, limits and a method.
5 min read
AI automation · Ajaccio, Corsica
AI automation for repetitive business tasks
AI automation takes on repetitive work built around text and documents: emails to sort, invoices to enter, records to check. Step By Step, a studio in Ajaccio, Corsica, builds automated workflows connected to your software that handle the volume and flag doubtful cases to your team.
- OCR
- Extraction
- Workflow
What can be automated
AI automation: the flows businesses automate most
The most rewarding flows to automate with AI are the ones that come back every day and eat up time spent reading or keying data. Six families turn up in almost every organisation.
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Incoming email
Sorted by type of request, key details extracted, a task created in the right tool and a reply drafted.
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Invoices and purchase orders
Incoming documents read — scanned ones included — amounts and references checked, the entry or order prepared.
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Supporting documents
Document type recognised, fields read, consistency checked and everything filed in the right place.
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Data entry and imports
Mixed documents turned into structured data, ready to import into your management software.
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Minutes and summaries
Meetings, email threads or reports summarised in the format your team expects.
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Reminders and follow-ups
Deadlines detected, personalised reminders prepared and statuses updated in your tools.
Comparison
Business process automation: what AI adds
Business process automation has been around for a long time, but it needed perfectly structured data. AI removes that limit: it can read an email, an invoice or a scan and turn it into usable data.
| Criterion | Traditional automation | AI automation |
|---|---|---|
| Input data | Structured, always in the same format | Text, emails, PDFs and scans in varied formats |
| Rules | Written one by one | Described in plain language, backed by examples |
| Unexpected cases | Block the process | Are flagged and set aside for review |
| Example | Copying a row from one spreadsheet to another | Reading a supplier invoice and preparing its entry |
Reliability
Four principles for automation you can rely on
Automation is only worth having if you can trust it without re-checking everything. These four principles guide every workflow we build.
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Targeted human review
Uncertain cases are isolated and shown to a person while the rest flows through: you check what deserves checking.
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Nothing invented
Information that cannot be found is left blank and listed as a point to complete, rather than guessed.
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Exhaustive processing
Code works through the documents, so every item is processed — no sampling, no silent omissions.
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Traceability
Every document processed, every value extracted and every decision is logged and can be reviewed.
Our software
Automate without an IT project, with AIKeep
AIKeep, the AI software published by the studio, lets you launch bulk processing in plain language, directly on your workstations: hundreds of documents in one go, with no migration and no upload of your files to the publisher.
- Built-in text recognition that runs offline
- Writes into your import files without breaking their structure
- Anything that could not be established is left blank and listed
Method
How an automation project unfolds
An automation project starts with a single flow, chosen for its volume and the clarity of its rules. Once it is reliable, it becomes the foundation for the next ones.
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Map the flow
Where documents come from, who handles them, under which rules, how long it takes and where mistakes creep in.
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Automate a first flow
One priority flow is automated and tested against real history, comparing the output with what your team would have produced.
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Connect and secure
Hooked up to the mailbox and software involved, with error handling, an audit log and a monitoring dashboard.
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Scale up
Once the first flow is reliable, the next ones reuse the same building blocks and roll out faster.
First call on us
Which task would you like to stop doing by hand?
Describe the flow, the documents involved and the software you use: we will reply within one working day with an initial assessment.
Artificial intelligence
Our other artificial intelligence services
- AI agents AI agents that carry out multi-step tasks in your tools, under human control.
- AI chatbots and assistants An assistant that answers from your own content, on your website or internally.
- AI integration Large language models connected to your software, CRM or ERP.
- Custom software ERP, CRM, HR, management tools: business software built around your processes.
Blog
Further reading: our articles on the topic
FAQ
Frequently asked questions about AI automation
What is AI automation?
AI automation means handing repetitive work on unstructured content to artificial intelligence: reading an email, an invoice or a scan, extracting the information, applying rules and feeding your software. It complements traditional automation, which only works on data that is already neatly organised.
Which tasks can be automated with AI?
The best candidates are frequent, text- or document-based, and follow rules you can explain: email triage, invoice entry, document checks, summaries, reminders. Rare and sensitive decisions stay with people, with AI simply preparing the file.
Can AI read scanned documents?
Yes. Text recognition and models that can read images make it possible to process PDFs, photos and scans. Document quality matters: a confidence check flags uncertain readings for review.
What happens when the AI gets it wrong?
The system is designed so that mistakes are visible and recoverable: consistency checks, a confidence threshold, doubtful cases set aside and a complete log. Errors that come to light are used to refine the rules and the examples given to the model.
Do we have to change our software to automate?
No. We connect to your existing tools through their APIs, file imports or, failing that, by driving a browser. The aim is to get rid of re-keying, not to impose a new tool.
Do our documents end up with an AI provider?
Only the excerpt needed for processing is sent to the model, to a provider whose contract rules out training on your data. Large volumes are worked through by code running on your side, and sensitive data can be anonymised before it leaves.