A public sector capital markets organisation invests in many companies and needs to know if they ever run astray of ESG standards. They wanted to…
Financial Services
Hyper-personalised customer experiences, increased operational efficiency, improved decision making and explainability – AI is now a serious competitive differentiator for financial services institutions. With growing regulatory demands and ever-increasing competition, machine learning can help tap into large sources of structured and unstructured data to assess risk, improve cashflow, and provide better returns to investors.
Case Studies
Bank guarantee documents undergo 100% manual processing by the wholesale banking arm of a major regional bank. The bank wanted to harness AI to automate…
A major regional bank wanted to leverage technology to extract relevant information from the annual reports submitted to them by the stock exchanges. The process…
The bank was looking for creative ways to utilise data for scaling origination efforts and acquiring new deals beyond relationship based referrals. They also wanted…
The subsidiary of a multinational banking and financial services organisation has a trade asset and origination platform that matches investors of different risk appetites with…