AI automation and AI agents for businesses in Corsica
AI automation means handing the repetitive tasks that fill your days over to software: sorting, copying, chasing, summarising. From Bastia, we design AI agents that work across your tools under your control, so your team gets time back for the work that matters.
AI automation and AI agents explained
Traditional automation follows fixed rules: when a form comes in, send this email. It works well as long as information always arrives in the same shape. Artificial intelligence adds the ability to understand content that varies: a freely written email, a scanned order form, a request phrased a hundred different ways.
An AI agent goes a step further. It is a program that is given a goal, works out the steps and uses tools to reach it: reading an inbox, looking up a file, filling in software, drafting a reply. It relies on an LLM, a large language model that can understand and produce text, but it only acts within the scope and permissions you grant it.
In practice, the best solution often combines the two: simple rules for what is predictable, AI for what needs understanding.
Automating repetitive tasks in an SME: practical examples
- 01
Retail
Orders received by email entered automatically, stock levels updated, standard replies to tracking questions, a weekly sales summary.
- 02
Tourism and hospitality
Booking enquiries sorted, personalised replies based on your availability, practical information sent before arrival, guest reviews summarised.
- 03
Trades
A voice note or site photos turned into a clean report, a draft quote prepared, follow-ups sent on quotes that went unanswered.
- 04
Professional practices
Incoming documents filed, case files put together, deadline reminders, first drafts of letters for review.
- 05
Local authorities
Residents' requests routed to the right department, meeting minutes prepared, tracking spreadsheets consolidated.
- 06
Any business
Invoice reminders, periodic reports, updates kept in sync between your management software, spreadsheets and email.
The practical gains of well-designed automation
- 01
Time back for your team
Low-value tasks drop off the to-do list; attention goes to customers and to work that needs expertise.
- 02
Fewer data-entry errors
Information copied automatically from one tool to another suffers no typos and no missed lines.
- 03
Faster response
Requests are sorted and handled as soon as they arrive, without waiting for someone to be free.
- 04
Processes finally written down
Automating forces you to describe exactly how things are done. That is a benefit in itself, and it makes bringing a new colleague up to speed easier.
What building our own AI agents has taught us
We use these techniques every day. La Forge, one of our projects, is a software factory driven by autonomous agents: it turns a stated requirement into tested, reviewed code, orchestrating several tasks in parallel. Feature Workflow brings the same structure to AI-assisted development, step by step.
These projects taught us a simple rule: a reliable agent is not an agent left to its own devices. It needs clearly defined steps, automatic checks at each stage and human sign-off wherever a mistake would be costly. That is the discipline we bring to your automations.
How an automation project runs with us
- 01
Understand
We look at how the work actually gets done: who does what, with which tools, how often, and where errors creep in. We clarify your goals, budget and timeline, then pick the first task to automate, the one with the clearest gain.
- 02
Design
We map out the target workflow: triggers, steps, connected tools, human approval points. This plan and any screen mock-ups are approved by you before development starts.
- 03
Build
We develop the automation, test it on real cases and run it alongside your usual way of working before handing it the task. You follow progress throughout.
- 04
Launch and support
Go-live, hosting, maintenance and monitoring. When your tools change, the automation keeps up, and then we move on to the next task.
Keeping control of your AI agents: quality, security, data
- 01
Limited permissions
An agent only accesses what it needs: read but not delete, draft an email but not send it, depending on the level of trust established.
- 02
Human approval
For actions with consequences, such as a payment, a message to a client or a contract change, the agent prepares and a person approves.
- 03
Audit trail
Every action is logged: you know what was done, when and why, and you can roll it back.
- 04
Data
What is sent to a language model is chosen with care, in line with GDPR. For sensitive data, a local AI hosted on a server on your premises is worth considering.
- 05
Resilience
A tool goes down, a document is unreadable: good automation plans for these cases and alerts you rather than failing silently.
What determines the cost of AI automation
The price depends on your situation, and your quote sets it out clearly. These are the main factors.
- 01
The tools to connect
Linking two applications built to be connected is simpler than working with older software that offers no way in.
- 02
How varied the content is
Identical documents every time take less work than free-form emails, scans or photos.
- 03
Level of autonomy
An agent that prepares drafts needs fewer guardrails than one that acts directly.
- 04
Volume and follow-up
Model usage costs depend on the amount of text processed; hosting, monitoring and maintenance come on top.
Technologies and methods
- Autonomous agents
- Large language models (LLM)
- Automation
- API
- TypeScript
- Node.js
Frequently asked questions
Which tasks can be automated with AI?
Tasks that are repetitive, frequent and follow a logic you can explain, even if the documents vary: sorting emails, data entry, reminders, summaries, reports. Decisions that carry your responsibility stay with a person.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent takes action: it chains steps together and uses your tools to complete a task, often with no conversation at all. The two can work together.
Do we need to change our software to automate?
In most cases, no. We start from the tools you already use and connect them. If a piece of software offers no way to connect, we explain the alternatives and what they involve.
What happens if the agent makes a mistake?
Sensitive steps go through human approval, every action is logged and anomalies trigger an alert. We start with a limited scope and only widen the agent's autonomy once it has proved reliable on your real cases.
Do you work across Corsica?
Yes. Based in Bastia, we work with businesses and public bodies in Corsica and beyond, with a single point of contact from the first meeting to maintenance.