Identify a real support problem
Focus on a customer or operational challenge where fragmented context, repeated manual effort, or slow investigation affects the experience.
Project · Innovation & Vibeathon
Turning practical ideas into working innovation concepts.
My innovation work focuses on real challenges in customer support, technical troubleshooting, communication workflows, and applied AI. The goal is to move beyond an idea and show how a useful solution could work.
The Vibeathon journey
From a support challenge to a live prototype.
SupportBuddy was developed as an AI Ticketing Intelligence concept for a Vibeathon setting. The idea focused on a common support challenge: customer interactions often happen across multiple channels, while the next agent still needs a fast, useful view of the active story.
The project was shortlisted among the top ideas and presented live, helping validate that practical AI concepts can be framed around real workflows, clear user value, and a working demonstration.
Innovation process
How a useful idea moves from problem to prototype.
Innovation is most useful when it keeps a strong link between the original problem, the user workflow, the technical approach, and the expected outcome.
Shape a practical concept
Turn the problem into a focused solution that can be explained clearly through a simple workflow, prototype, or demonstration.
Build and validate
Create a working proof of concept, test the user flow, and refine the story around measurable value for agents, engineers, or customers.
Present the outcome
Communicate the problem, solution, workflow, and expected impact in a way that makes the idea easy to understand.
Innovation themes
Customer context
Helping support teams understand the customer journey across disconnected interactions and systems.
Technical productivity
Reducing repetitive investigation effort through clearer signals, summaries, and workflow support.
Applied AI
Using AI to improve real support and operational experiences instead of creating isolated demonstrations.
What I learned
Good innovation is clear, grounded, and easy to experience.
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Start with the workflow, not the technology
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Keep the problem statement clear and specific
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Show value through a realistic demonstration
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Design for the people who will use the solution
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Use AI where it adds meaningful context or automation
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Treat prototypes as learning tools, not final products