AI FOR FINANCE

           We know how to use AI to optimize                  various business processes       

Using AI we help financial institutions to automate and optimize their business processes to achieve higher sales, profit and customer satisfaction.

WHY USE AI IN FINANCE?

It enables a truly customer centric approach

AI not only allows to intereact with a large number of customers simultaneously, it can do so differently with each of them.

It creates efficiency through process automation

Many processes can be automated and sped up by AI, allowing workers to focus on more value-adding tasks.

It allows for next level of personalisation

AI helps to understand behaviour and desires of each customer in detail, thus informing the optimal way of engagement.

It has high ROI

Our AI powered analytics can help you achieve significant improvements in business performace. 

HOW WE OPERATE

Demo

We analyze a sample of your data to test the potential that AI can bring to your business

Development

We develop a customized AI powered solution that addresses your business needs

Roll-out

We roll out the customized solution within your IT systems

OUR USE CASES 

Automated event detection

A large retail bank wanted to be more relevant for their clients. We helped them develop a model that automatically detects significant events in the life of thousands of their clients so that the bank can react with an appropriate product offering.

Go to use case

Pricing optimization model

A retail bank approached us to help them improve their pricing strategy to better reflect price elasticity of current and potential clients. We developed a propensity model that incorporated a wide range of personal and market data and identified optimal (revenue maximizing) price points.

Marketing campaign optimization

A retail bank was looking to automate and optimize allocation of marketing campaigns that were typically run in parallel. Our solutions considers cost and potential of each marketing channel for every customer and overlays it on current business goals.

Go to use case

CRM propensity model

A retail bank wanted to improve response rate of their marketing campaigns. We developed a classification model that helps them target right customers with a right product at a right time. 

Online loan fraud detection

We developed a fraud detection model for a company providing micro-loans to retail customers. Our solution helped them detect real-time chronic fraudsters and minimize fraud related damages.                                                           

Go to use case

Customer lifetime value model

A financial-advisory company was looking for a way to help their advisory employees manage their client portfolios. We responded with a customer lifetime value model that identified the most important clients for each portfolio.