← Cases
FrancePublic sector2023 – ongoing

National Health Insurance Fund (CNAM)

Generative AI drafts replies to public-service feedback

CNAM joined an AI drafting pilot that reported halving response time across participating agencies

In progressCompany's own claim

Problem

Public-service agents needed to respond to users' feedback on Services Publics +. The government wanted to improve response speed and service quality.

Approach

Volunteer agents at CNAM and other public bodies used generative AI to draft replies to user feedback. The experiment began in October 2023. After two months, the government reported that average response time across the pilot had halved.

Results

74%user satisfaction across the multi-agency pilot after two months, not a CNAM-only resultCompany's own claim[1]

Takeaway

CNAM participated in an operational drafting experiment. The reported results covered participating agencies together; no CNAM-only result was disclosed.

Categories

Business function
Customer service
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Company's own claim

Sources

  1. Intelligence artificielle, plan téléphone, qualité des démarches en ligne...
    Direction interministérielle de la transformation publique21 Dec 2023Government publication

Source summaries

[1]Direction interministérielle de la transformation publique21 Dec 2023

The government named CNAM among agencies whose volunteers used AI to draft feedback replies. Across the pilot, average response time halved and satisfaction rose by 10 percentage points to 74% after two months.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗