Turning your operational data into automated client reports
The problem, in practice
Extracting operational data, checking it, formatting it and turning it into a presentable document for a client is manual work that repeats at every deadline, often under time pressure, with a risk of error at every re-entry.
81% of companies investing in AI choose a custom-built solution or a purpose-built development rather than a standard tool (Bpifrance, Baromètre IA 2026). Client reporting is a typical case where the format and the data vary too much from one company to another for a generic tool to remain suitable over time.
What the tool does, in practice
A custom-built tool designed for this case takes your existing operational data and automatically turns it into a structured, readable report, ready to be sent to your clients, without intermediate manual re-entry.
The usable input format, the possible connection to your current management tool, and the final formatting expected by your clients are not decided in advance: these points are precisely the purpose of the audit.
How we work
Three steps, each independent: you can stop after the audit.
Immersion in your operational data and current reporting processes, costing of the expected gain, written recommendation.
Design, development, integration with your existing tools, then training for your teams.
We adjust the tool as your reporting needs evolve.
Frequently asked questions
Can the tool connect to our current management tool?
That depends on your existing systems and the format of your operational data: this is precisely what the audit examines, before any promise of integration.
Is our client data protected?
Yes, in compliance with GDPR and the AI Act. See our compliance support for the details of what this means in practice for your operational and client data.
Can the frequency and format of the reports be customized?
In principle, yes: the frequency, formatting and level of detail are defined with you during the build, to match what your clients actually expect.
How long does setup take?
The general timeline for Sundatalab custom-built projects is a 2 to 3 week audit, followed by a 1 to 3 month build. The exact duration depends on the complexity and volume of your operational data.
What happens if the format of our reports needs to change later?
That's the role of optional maintenance: we adjust the tool as your reporting needs evolve, without starting a new project each time.
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Read the use case →Start with an audit
We look at your operational data and current reports, we estimate what automation would bring, and we tell you whether to build it, or not.
Sundatalab designs and runs artificial intelligence tools that help businesses grow. Ours, by license. Yours, custom-built.