Anyone not using AI today will seriously fall behind.
Real Estate

Anyone not using AI today will seriously fall behind.

As enterprises grapple with fragmented data, multiple banking relationships and increasingly complex financial operations, AI is emerging as a powerful enabler of faster and more informed decision-making. Bengaluru-based Zenalyst is positioning itself at the forefront of this transformation through its AI-driven enterprise intelligence and treasury management platform. In this interaction, Nagendra Singh, CEO, Zenalyst, discusses how the company is leveraging AI to deliver real-time cash visibility, automate treasury operations and help real-estate developers make smarter financial decisions.

What inspired the launch of Zenalyst and what financial visibility challenges were you trying to address for real-estate developers?
When we were on the other side of the table, working as financial controllers and CFOs, we realised that critical reports and cash balances were often available only after two days. We wanted to solve this problem by providing real-time cash visibility and accurate forecasting...

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As enterprises grapple with fragmented data, multiple banking relationships and increasingly complex financial operations, AI is emerging as a powerful enabler of faster and more informed decision-making. Bengaluru-based Zenalyst is positioning itself at the forefront of this transformation through its AI-driven enterprise intelligence and treasury management platform. In this interaction, Nagendra Singh, CEO, Zenalyst, discusses how the company is leveraging AI to deliver real-time cash visibility, automate treasury operations and help real-estate developers make smarter financial decisions.What inspired the launch of Zenalyst and what financial visibility challenges were you trying to address for real-estate developers?When we were on the other side of the table, working as financial controllers and CFOs, we realised that critical reports and cash balances were often available only after two days. We wanted to solve this problem by providing real-time cash visibility and accurate forecasting...To read the full article Click Here

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