How can A.I be applied in Property Development and Asset Management across financial services institutions in Africa?

the case of chpter.

Traditionally, in the field of Property Development and Asset Management; financial modelling, forecasting and appraisal has been left to pen and paper, spreadsheets and word documents. Although effective at first, constant updating and remodelling as parameters change soon becomes laborious and time consuming.

A decentralised workflow comes at an expense to financial services providers. Decision making is delayed as it can take up-to six months for a reasonable output to be generated. Secondly, there are great inefficiencies as large teams of up to 9 individuals work on a project and have to rely solely on email and phone calls to communicate and collaborate.

Finally, not only does this uncoordinated workflow lead to the misplacement of critical customer data it also makes reporting and decision making for businesses a pain. Most outputs generated tend to be inaccurate and as a result may lead to misguided investment decisions that would cost millions to financial service providers.

chpter. addresses the challenges mentioned above. We are a building a platform that will be working with financial service providers, (banks and micro-finance institutions). Our industry leading software will centralise, integrate and automate inputs in financial modelling, forecasting and appraisal by leveraging the power of Artificial Intelligence and Machine Learning.

Our system will enable financial services institutions to collaborate, save on time, increase efficiency and generate sound, accurate outputs through applied data analytics. This leads to guided investment decisions, helping these institutions generate profit and serve their customers better.