Case studies
Clean HTML proof for training buyers, event organisers, and AI decision-makers.
These case studies exist to make the offer easier to trust. They show measurable outcomes, real contexts, and the kinds of organisations the work already fits.
Search and AI answer engines cite pages more easily when the proof is easy to crawl. That is why the work below lives as clean page-level HTML instead of only inside a slider or visual showcase.
What's On! · 2025
What's On!
What's On! combined AI engagement design, onboarding, partner enablement, and a repeatable go-to-market rhythm for public-sector and higher-education buyers.
- 50+ paying partners in 90 days
- 150,000+ migrant users supported
- APAC Top-3 AI Startup recognition
UNSW Sydney · 2025
AI-me
AI-me helped a 550-attendee symposium answer attendee questions quickly, reduce help-desk load, and make the event feel guided rather than overwhelming.
- 92% engagement
- 1,007 questions answered in 3-5 seconds
- ~30 hours of help-desk time saved
ACU · 2025
ACU Admissions AI
ACU Admissions AI combined QR-to-mobile and kiosk flows to guide prospective students toward stronger degree-fit conversations and more useful lead capture.
- 160% lift in qualified leads
- 85% increase in Q&A engagement
- Higher-quality degree conversations
Government of Karnataka · 2025
Milli
Milli blended multilingual support, event guidance, and commercial discovery to help a major public event serve attendees while still driving useful business outcomes.
- $32M in expo sales enabled
- 500,000+ attendees served
- 163 exhibitors across the event
Client feedback
Trusted by teams that needed AI to become useful fast.
Rushi turned AI from an abstract strategy topic into practical workflows our non-technical teams could start using with confidence almost immediately.
The strongest part of the work was how human it felt. The training was rigorous, but it never became intimidating or disconnected from everyday operations.
The workshops were practical, fast-moving, and grounded in the realities of frontline teams rather than generic AI hype.
The finance-focused sessions made AI feel usable for professionals who are usually skeptical of technical change. That shift in confidence mattered.