AI Hackathon: Build Your Own Chatbot

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.

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.