AI automation
Hand repetitive tasks over to machines, and keep your teams on what requires judgement.
Who is it for?
Merchants and SMEs whose teams spend time on repetitive tasks: product sheets, support, reporting, checks.
Use cases we handle
- Catalogue: enrichment, categorisation, translation and quality control of product sheets, with human review.
- Customer support: request triage and draft replies reviewed before sending.
- Reporting and alerts: consolidating performance, SEO or sales data into automatic reports.
- Workflows: connecting your tools through APIs and automation tools to remove duplicate data entry.
- Technical teams: development assistants and automated code reviews.
Our format
The AI sprint
Target duration: two weeks. A human reviews whatever is published or sent; no sensitive data is passed to a tool without your agreement; the gain is measured before anything goes to production; the choice of model takes cost and confidentiality into account.
- 1Scoping (days 1 to 2): choosing a use case and the gain indicator.
- 2Prototype (days 3 to 8): a working version on your data or sample data.
- 3Measurement (days 9 to 10): time saved, error rate, running cost.
- 4Decision: stop, improve or go to production.
What you receive
A working prototype, the measured gain, a clear recommendation and documentation.
How it works
An AI sprint: one use case, one prototype, one measurement, then your decision.
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