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Before you nominate: The 4 questions every AI product should be able to answer

The strongest products solve problems people cannot afford to ignore. Saving five minutes is useful. Preventing compliance failures, reducing diagnosis time, cutting financial reconciliation from days to hours or helping businesses recover lost revenue creates a different level of value. A nomination becomes much stronger when the problem is specific, measurable and immediately understood. If the answer to this question takes more than two sentences, the positioning needs work before the nomination does. Claims are easy to make. Evidence is harder to ignore. Across the ET Most Innovative AI Product Awards 2026, evaluators will look for measurable outcomes: shorter processing times, lower error rates, stronger customer retention, operational savings or higher productivity.

The numbers do not need to be extraordinary. They need to be credible. A clear before-and-after often tells a stronger story than pages of product descriptions. Growth changes everything. More users. More customers. More data. More workflows. Many products perform well in controlled environments. The real test begins when organisations grow and expectations change. Scalability is one of the key evaluation criteria at the ET Most Innovative AI Product Awards 2026 because products should continue creating value as adoption expands, not just during an initial deployment.

Every successful product starts with one customer. The next challenge is proving the problem is bigger than that customer. Can the solution work across industries? Different company sizes? New markets? Different user groups? Products with broader relevance often create broader impact. That is why the ET Most Innovative AI Product Awards 2026 evaluates entries across 16 categories, recognising innovation across industries, enterprise functions and emerging technologies. If your product can answer these four questions with confidence, it may already be ready for national recognition.

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