Use case 2: care robots and hospitals
Keep the patient in the conversation
For robot makers and hospital networks
- TodayPatients wait for an interpreter
- With EMORIInterpreted live, on the spot
- The aimShorter waits, fewer interpreter hours
- Hears the language
- Asks consent
- Adapts tone and movement
- Calls a human in time
In pilot at Badalona Serveis Assistencials
A public healthcare provider in Catalonia. No results published yet.
How PokaMind plugs in
One layer next to the AI
you already run
What goes in
- Each live interaction
- Playbooks and offers
- The account’s history
- Tone of voice
- Pace
- Body language
- Words
Observable signals only
What comes out
- Satisfaction on every conversation
- Understanding, not just answers
- The right moment to step in
- Trust and loyalty over time
One engine across the loop
Before, during and after
every interaction
- Cooperative
- Hurried
- Firmly resistant
Test before launch
- Turning pointHand over now
Guide it live
- Earlier interactionsChurn risk
Learn what wins
Where did your last lost customer turn?
Pick one KPI. We run a sample analysis on your own past interactions, with nothing touching your stack.