Use cases

Your situation may look like one of these.

Any sector · Customer service Delivered in 4 to 8 weeks

Answering every customer faster, with AI that stays in-house

At an insurance broker, the shared inbox overflows and urgent files get lost. Management has ruled out off-the-shelf AI assistants: it cannot send its clients’ contracts, claims and health data to an external service whose hosting and data use it does not control.

The problem

Response times getting longer, a team overwhelmed by sorting and repetitive replies, and AI that could help but remains ruled out for confidentiality reasons.

Our solution
  1. 01 Map incoming requests and how they are handled.
  2. 02 Sort, qualify and route each request automatically to the right person, with urgent files first.
  3. 03 AI agents deployed in-house, on the broker’s infrastructure or with a host of its choice, that draft replies and file summaries, approved by the team: client data never leaves its perimeter.
Expected outcome
  • Faster answers
  • A team free for complex cases
  • Customers followed up better
  • AI used without exposing client data
Illustrative story, inspired by situations we have met in the field. Discuss a similar case