AI agents & automation
Less repetitive work. More time that counts.
We design and deploy AI agents and automations built into your tools. They process documents, prepare replies and move cases forward, with human approval at key steps.
What we automate
The tasks that take up your teams’ time every day.
From receiving a request to preparing a document, we automate the repetitive steps according to your rules and ways of working.
Your teams retype the information received in documents.
Extract the data you need, cut down on retyping
The information in your files feeds your business tools. Expected fields are checked and any anomalies are flagged for review.
Every request has to be sorted and passed on by hand.
Route requests and move cases forward
Incoming requests are analyzed, assigned to the right person and the next steps are triggered. Approvals stay in the hands of the designated people.
Keeping track of deadlines relies on manual checks.
Automate reminders and follow-ups
Reminders go out based on dates, statuses and the replies received. You set the recipients, the frequency and when they stop.
The same documents are prepared for every new case.
Generate documents and prepare replies
Your recurring documents are produced from your templates, and drafts are prepared from the case information. Your teams review and approve them according to the agreed rules.
When several software tools are involved, we connect them so information flows between the steps.
Our method
A first concrete use case. Verified results.
We start with a focused scope, test on your real cases and review the results with your teams before going into production.
Identify the tasks to automate
We look at the steps, tools and time spent on repetitive tasks. Together, we choose a first use case based on its value, its feasibility and the edge cases to handle.
Define the rules and limits
Allowed actions, accessible data, approvals and success criteria are defined with you. Scope, budget, provisional timeline and estimated running costs are set before development.
Build and test on your real cases
We build the solution and show you the results on representative examples. We also test incomplete data, errors and situations that require human intervention.
Go to production and organize follow-up
We prepare deployment and onboarding with your teams. You get the agreed means to monitor processing and handle exceptions, with defined maintenance terms.
Frequently asked questions
Which task should we start with?
A frequent task, with known steps and available examples, is a good starting point. We weigh the expected benefit against setup and running costs to choose a useful first scope.
What is the difference between an AI agent and a classic automation?
An automation follows defined rules, such as sending a reminder on a given date. An AI agent can interpret a request, look up information and prepare a reply or an action. Both can be combined in the same process.
Do we need to change our software?
Not necessarily. We look at how your tools can be connected to fit the solution into your environment. Some steps may need adapting depending on the available access and features.
Do we stay in control of the actions taken?
Yes. We define the allowed actions and the approvals required. You can require approval at certain steps or keep human intervention for specific cases.
Can an AI agent make mistakes?
Yes. It can misread a request or produce an inaccurate answer. We test its results on your examples and put in place checks and approvals suited to the possible consequences of an error.
Where is our data processed?
It depends on the chosen solution: an external AI service or a model hosted in an environment you control. The data sent, its retention and the confidentiality conditions are reviewed with you during scoping.
What costs should we expect after go-live?
Depending on the solution, hosting, AI model usage, third-party software and maintenance costs may apply. They are identified in the proposal, with estimates based on the expected usage volumes.
Can the solution evolve with our needs?
Yes. New rules, data sources or steps can be added. How changes are handled is set out in the proposal, and changes are tested before going into production.
Which task would you like to take off your teams’ plate?
Tell us what keeps repeating, the tools involved and the time it takes. We help you identify a first concrete use case to automate.
Discuss your projectNo specifications needed for a first conversation.