Artificial Intelligence in Finance.
The case of chpter.
In an era where financial services is coupled up with technology, the adoption of sophisticated data-centric systems will change the nature of finance. Asserting demand in debt heavy projects still remains one of the biggest challenges in emerging markets. Financial service providers now need effective systems to accurately predict demand and adapt to the rapidly changing economic climate.
Inefficient workflows and processes are a pain point not only to financial services providers but also the clients they serve. Inaccuracy and frequent delays often leads to reduced or lost revenue for financial service providers and an inability to secure funding for many developers and merchants.
At chpter. , we are on a mission to build financial forecasting infrastructure that will work with banks and micro finance institutions to provide faster, more accurate and less paper heavy solutions in property development and asset finance across Africa.
The adoption of A.I driven solutions enables financial services institutions to leverage automated workflows ensuring effective capital expenditure and greater return on investment. Our advanced prediction and recommendation systems improve efficiency, evaluate investment health and provide sound guidance in assessing debt for property and asset finance.
By leveraging technology through the Chpter Integrated System (CIS), emerging and existing financial services providers can make computer-aided decisions on forecasting and debt appraisal, ensuring faster outputs, reduced delays and increased efficiency for their clients.
