One day to build and pitch an agentic AI concept for financial services. The hard part was not thinking of ideas. It was committing to one.
Financial news is written for people who already understand it. Everyone else scrolls headlines, absorbs the sentiment and learns nothing. The gap is not access to news. It is that nobody explains the vocabulary at the moment it is needed.
The product is deliberately narrow. It reads the news for you and teaches you finance in the background. It gives no investment advice, and that boundary is a design decision rather than a disclaimer.
There is no perfect idea. The hardest part is not generating one, it is committing. We chose a direction, held it, and improved each iteration instead of restarting every time something looked more interesting.
Execution beat completeness. A simple narrative of problem, agentic solution, impact and governance landed far better than trying to show everything the technology could do.
And agentic AI matters in financial services for a specific reason. It is not question answering. It is systems that sense, decide and act inside strong guardrails: monitoring risk, educating customers in real time, and escalating to a human when the stakes require one.
Commitment is the scarce resource, not ideas.
A team of four at the Reply Student Clash on agentic AI, hosted at Imperial. I worked on the problem framing, the governance boundary and the pitch narrative.