AI Hackathon: Build Your Own Chatbot
A 3-day intensive AI hackathon workshop where cross-functional teams build a working AI chatbot prototype tailored to a real enterprise use case.
PowerPoint decks and business cases only go so far when asking leadership for budget. Decision-makers need to see a working application addressing a real business problem.
Proving AI value with real artifacts
-
Moving from slides to software:
An AI hackathon workshop moves your team past theory by building a working tool inside your actual environment.
-
Testing feasibility early:
Finding technical, data, and user interface constraints within 3 days rather than through months of planning.
-
Building leadership support:
Giving project sponsors a tangible demo to secure executive buy-in for full-scale development.
From problem to prototype
How the 3 days run:
-
Day 1 — scope & data:
Selecting the target use case, defining user interactions, mapping knowledge sources, and setting up the prototyping environment.
-
Day 2 — build & refine:
Configuring the bot, connecting data sources, refining prompt instructions, and running initial testing cycles.
-
Day 3 — test & present:
Stress-testing performance, capturing feedback, documenting post-mortem insights, and running the live executive demonstration.
Decision-makers need to see a working application addressing a real business problem.
What you walk away with
-
Working AI prototype:
A functional chatbot built to address a specific, real-world operational use case in your organization.
-
Leadership-ready demo:
A live, interactive application ready for presentation to executive stakeholders and boards.
-
Technical post-mortem:
A clear summary documenting what worked, data gaps uncovered, and key lessons for full production.
Next steps for execution
A successful AI hackathon workshop validates user demand and technical feasibility. Once approved, Ekipa takes your working prototype to production:
-
Enterprise scaling:
Move your hackathon prototype into production-grade architecture via AI Delivery.
-
Data integration:
Clean, structure, and secure underlying knowledge bases through Data Modernization.