Choose a CFO headache. Build an AI app to solve it.
Light, Lovable, and Greenstep are teaming up to give finance teams a unique opportunity to bring AI into their operations.
With direct guidance from Light (the world’s leading AI-native finance platform) Lovable (the world’s leading AI app-building platform) and Greenstep (Finlands leading finance consultancy). You’ll turn your biggest finance headaches into real AI apps your company can start using from day one.
This is not another workshop or panel.It’s a full-day hackathon where finance teams build AI apps and everyone walks away with new tools, new ideas, and new connections.
The Day
9:30 → Doors open10:00 → Welcome & Introduction10:30 → Hackathon starts12:00 → Lunch13:00 → Hacking continues16:00 → Presentations (Judge board join)16:45 → Drinks & afterparty
On-Site Guidance
Throughout the day, teams receive personalised support from:
Light product specialists and designers — helping you turn ideas into functional prototypes.Lovable AI specialists — helping you design automations and build AI logic.Greenstep consultants — helping you shape business impact and finance with AI.
You’ll move through structured checkpoints so that by the end of the day, your team has a working AI app — and a story to tell.
Who’s Coming
We’re bringing together the best finance teams from leading companies around the world.
Finance teams: CFOs, accountants, controllers, analysts, FP&ALater in the day, judges will select the best solutions to present to the entire groupSkill level: no coding needed — if you can prompt ChatGPT for a lasagne recipe, you can build an AI app in Lovable
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.