About
Upscale Paris is a Paris AI consultancy working on operating-model change, from AI strategy and governance through prototype builds to adoption programs inside client teams.
Our Take
The patient-experience program is the reason this listing exists, and it is described in more operational detail than most named case studies manage: a national laboratory group with 900 million euros of revenue, more than 1,500 sites and 25 million patients a year, rebuilt over six months from service blueprints and five personas through to real-time dashboards for biologists and directors, predictive analytics and proactive notifications. Rollout went from a two-laboratory pilot in Bordeaux and Lyon to five regions, then nationally, with 710 biologists trained.
The published results are specific: net promoter score from 28 to 50, results delivered inside 24 hours against a previous three-to-23-day range, support calls down from 15,000 a month to 6,000, retention from 72% to 87%.
The client is not named, which the register allows. What is missing is everything else: no address, no team, no founding year, no company registration anywhere on the site, and a claimed fifty-plus consultants attached to none of it. The shorter use-case cards elsewhere read as illustrative scenarios rather than engagements.
Ask for the client's name under NDA and for two references before committing anything substantial.
Key strengths
- The healthcare program is described at operational depth—phased rollout, training numbers, dashboards by role—rather than summarized
- Publishes outcome figures across several dimensions, including retention and support-call volume, not just a headline metric
- Covers the adoption side explicitly, which is where most AI programs stall, with a separate case on moving an insurer from 18% to 85% tool adoption
Good to know
- No address, team, founding year or company registration is published anywhere on the site—there is nothing to verify the firm against
- The shorter use-case cards carry large numbers attached to unnamed archetypes ('an online retailer', '2,000 employees') and read as illustrative rather than delivered
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 5 Aug 2026
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