AI in the wild, across very different rooms.
Six practical systems built around real operating problems across telecom, finance, retail, healthcare, government, and hospitality.
These results come from client engagements delivered by JRHQ. They are not outcomes offered or implied by the Foundr AI program.
View the case studies
Vodafone Business
Replacing a 45-person outbound team with one AI voice agent
Outbound sales prospecting was manual, expensive, and hard to scale across a large lead list.
Result snapshot
- 25,000 leads contacted
- 600+ warm appointments
Approach and results
Approach
An AI voice agent took over full outbound sales, paired with AI SMS and LinkedIn systems for re-engagement and targeting.
Results
- 25,000 leads contacted
- 600+ warm appointments
- Roughly $112,500 saved per month
EST Financial
Turning 500,000 dormant leads into closed revenue
Hundreds of thousands of legacy wealth advisory leads were sitting untouched in the database.
Result snapshot
- 500,000+ leads contacted
- 5,000+ warm leads
Approach and results
Approach
An outbound AI system contacted, qualified, and converted legacy leads at scale every day, without a human dialling a number.
Results
- 500,000+ leads contacted
- 5,000+ warm leads
- Roughly $490,000 in closed sales
- About $200,000 per year saved
Insomnia Cookies, USA
Personalizing a high-volume digital storefront
Generic offers across app, web, kiosk, and in-store, with no real personalization at scale.
Result snapshot
- 33% higher checkout conversions
- 28% lower support costs
Approach and results
Approach
An AI personalization engine drove tailored bundles and offers, with predictive churn models reactivating lapsed customers.
Results
- 33% higher checkout conversions
- 28% lower support costs
- One experience across every channel
Unobravo, Italy
Matching patients to therapists in real time
Long wait times pairing patients with the right therapist, with no live view of treatment effectiveness.
Result snapshot
- Significantly reduced wait times
- Real-time therapy effectiveness insights
Approach and results
Approach
AI-driven patient and therapist matching combined with NLP and sentiment analysis, built to GDPR and HIPAA standards.
Results
- Significantly reduced wait times
- Real-time therapy effectiveness insights
- Compliant patient data handling
Citizen Chatbot, Malaysia
One multilingual chatbot for millions of citizens
High volumes of citizen queries across health, transport, and administration, with no multilingual support at scale.
Result snapshot
- Reduced government overhead
- Improved accessibility for millions
Approach and results
Approach
A multilingual AI chatbot delivered 24/7 support across sectors and reduced pressure on government call centres.
Results
- Reduced government overhead
- Improved accessibility for millions
- Consistent public-sector service
Convio, Global Hotels
One AI concierge instead of five disconnected channels
Guests booked rooms, dining, activities, and transport through disconnected channels with no single point of contact.
Result snapshot
- Unified booking across guest services
- Personalized offers from booking history
Approach and results
Approach
An AI concierge unified website, app, in-room tablets, and social channels, with PCI DSS compliant payments.
Results
- Unified booking across guest services
- Personalized offers from booking history
- One always-on experience layer