Tel que publié sur lorikeetcx.ai. Capturé par usedby le 8 oct. 2026.
Ce qui s’est passé
Eucalyptus, a digital health provider, uses Lorikeet's Topics feature to scan historical support interactions, surface common trends and volume drivers, and spot tickets the AI is not yet trained to handle. This helps the operations team decide where to scale support with AI.
Résumé rédigé par usedby à partir de la page source, en anglais. Les chiffres sont ceux de Lorikeet et de Eucalyptus, pas les nôtres.
Unmatched Topics, in particular, helped uncover issues earlier and lead to faster resolution. For example, Eucalyptus identified an issue customers faced when applying a new discount code. By spotting this pattern early, they were able to resolve the underlying problem and send proactive communications to affected customers.
Lorikeet’s triaging capabilities mean urgent medical questions are escalated to clinicians and dealt with quickly. This gives us the confidence to scale our healthcare offering safely. The uplift in patient satisfaction is icing on the cake.
Without Lorikeet we would have been overwhelmed with enquiries - and our patients would have been waiting hours for critical information.
We're delivering faster, more efficient support to our patients like never before, with no compromise to patient experience.
This ensures we're addressing the most impactful issues for our patients – all the while continuing to scale quality support with AI.
Ce que dit le témoignage, et ce que nous avons vérifié
Nous avons comparé le témoignage à sa page en ligne le 8 oct. 2026.
- L’extrait cité plus hautVérifiéCopié mot pour mot depuis la page, près du nom de Eucalyptus.
- Eucalyptus utilise LorikeetVérifiéLigne de niveau Confirmé. Dernière vérification, toutes sources confondues : 8 oct. 2026.
- Le résultat lui-mêmeNon vérifiéNous le citons ; nous ne l’avons pas mesuré.




