What we automate
The tasks that come back every week
A task is a good candidate when its steps are clear, it repeats, and it occupies your team without creating value. Here are typical examples.
-
Today, by hand
Copying each form request into the CRM
Once automatedThe contact record is created on its own, with no re-entry
-
Today, by hand
Following up on quotes left unanswered
Once automatedA reminder goes out at the right time, with the right message
-
Today, by hand
Exporting figures to build a report every Monday
Once automatedThe dashboard updates automatically
-
Today, by hand
Forwarding invoices and attachments by e-mail
Once automatedDocuments are filed and shared in the right place
-
Today, by hand
Sorting and qualifying incoming messages
Once automatedAn AI assistant suggests a category, a person validates it
-
Today, by hand
Updating the same stock in several tools
Once automatedA single entry, every tool stays in sync
Benefits
Less data entry, more time for your teams
Save time
Repetitive operations run on their own, without waiting for someone to pick them up.
Reduce errors
Less copy-pasting means fewer omissions and inconsistent data.
React faster
A request, a payment or an alert immediately triggers what comes next.
Know what is happening
Every run is logged: you know what ran and what failed.
We only quote time savings once they have been measured on your own processes.
Typical workflows
Concrete workflows, from trigger to result
Each workflow starts from an event and chains actions across your tools. These are examples: we adapt them to your tools and your rules.
-
Lead follow-up
Whena form is submitted on your site
- The record is created in your CRM
- The salesperson concerned is notified
- An acknowledgement is sent
-
Invoicing and reminders
Whenan invoice falls due without payment
- A polite reminder is sent to the client
- The status is updated in your tool
- The item is added to the weekly review
-
Orders and stock
Whenan order is placed online
- Stock is updated everywhere
- The picking slip is generated
- The customer receives delivery tracking
-
Incoming request triage
Whena message lands in the support inbox
- AI suggests a category and a priority
- The ticket is created and assigned
- A person validates sensitive cases
-
Automatic reporting
Whenevery Monday at 8 am
- Figures are collected from your tools
- The dashboard is updated
- A summary is sent to the team
-
New hire onboarding
Whena contract is signed
- Accounts and access are created
- Welcome documents are sent
- The teams concerned are notified
Feasibility depends on the interfaces (APIs) available in your tools. We check it before committing.
Approach
From mapping to monitoring, in five steps
-
1Mapping
We list your repetitive tasks, your tools and the time they take.
-
2Prioritisation
We start with high-impact, low-risk cases.
-
3Workflow design
We define the trigger, the rules, the error cases and the human checks.
-
4Build and testing
We build the workflow and test it on real data before going live.
-
5Monitoring and adjustments
We watch the runs and evolve the workflows along with your tools.
Toolbox
Tools chosen to fit your context
We pick the platform that suits your volume, your budget and your confidentiality requirements, without locking you into a single tool.
- n8n
- Self-hostable automation, suited to sensitive data.
- Make
- Visual workflows that are quick to set up between common applications.
- APIs and webhooks
- Direct connections when your tools expose an interface.
- Custom code
- Symfony scripts or services for rules the platforms do not cover.
- Generative AI
- Sorting, summarising, data extraction or assisted writing, with validation.
- Databases and CRM
- A single source of truth to avoid duplicates.
- Monitoring and alerts
- Run log and an alert when something fails.
Safeguards
Reliable automation lets people decide
A poorly framed workflow saves time... or spreads an error at high speed. We build the safeguards in from the design stage.
-
Human validation
Sensitive decisions go through a person before any action.
-
Error handling
Every workflow plans for failure: retry, alert, put on hold.
-
Run log
You know what ran, when, and with what result.
-
Controlled access and data
Limited permissions, secrets properly stored, personal data respected.
-
Documentation and handover
Your workflows are documented and remain yours, with no hidden dependency.
FAQ
Which tasks can be automated?
Those whose steps and rules are clear and that repeat: data entry, reminders, notifications, syncing, reports. Complex or sensitive decisions stay under human control.
Do I need to change my tools?
Rarely. We connect your existing tools through their APIs or through platforms such as n8n and Make, as long as their interfaces allow it.
How is this different from digitalisation?
Digitalisation rethinks your processes and tools; automation runs specific tasks between existing tools. The two are often combined.
Is AI required?
No. Most workflows rely on simple rules. We add generative AI only when it brings real value, for example to sort or summarise, with human validation.
How much does an automation project cost?
The budget depends on the number of workflows, the tools to connect and the level of monitoring. After a conversation about your needs, we propose a scope and a quote.
What happens if a workflow fails?
It is designed for that: retry, hold and alert. You can check the run log, and we can provide ongoing monitoring.
Let's find what can run by itself
Describe your repetitive tasks and the tools you use. We will tell you what can be automated, where to start and what is better kept manual.