Are your systems ready to handle…

Super personalised apps that increase customer engagement?

Automated collection solutions?

Machine learning and AI to improve underwriting accuracy and pricing?

01

Machine learning (ML) and AI to improve business processes.

Data Readiness

ML algorithms require large volumes of high-quality, structured data to train models effectively.

Can your systems collect, store, and process the necessary data?

We perform data integration from various sources, cleansing, and preprocessing to ensure data readiness for ML algorithms.

Computational Readiness

ML and AI algorithms require significant computational power to process complex calculations and handle large datasets.

What is your assessment of the existing computational infrastructure? Can it handle the requirements of running ML models efficiently?

We help by scaling up hardware resources or leveraging cloud computing.

Algorithmic Readiness

Are your systems ready to select and fine-tune appropriate algorithms?

Companies need to assess their readiness for algorithm selection, understand the strengths and limitations of different algorithms, and adapt them to their specific underwriting needs.

We ensure the chosen algorithms are suitable for the task.

02

In-house software for debt collection

Compliance Readiness

Debt collection involves adhering to legal and regulatory requirements, such as consumer protection laws and debt collection regulations.

We design software to support compliance readiness by incorporating necessary features and functionalities.

We get there steadily by building automated compliance checks, audit trails, secure storage and access control for sensitive debtor information.

Workflow Integration

Debt collection software should seamlessly integrate with existing workflows and systems within your organisation.

To ensure smooth data flow and process integration, we assess your internal systems, such as customer relationship management (CRM), billing, and communication platforms.

We develop APIs or other integration mechanisms to connect the debt collection software with other systems and ensure efficient data exchange.

Reporting and Analytics

Debt collection software should provide comprehensive reporting and analytics capabilities to track performance, monitor key metrics, and gain insights into debt collection activities.

We assess your system’s readiness regarding data visualisation tools, reporting frameworks, and analytics capabilities.

This may involve integrating reporting modules or implementing business intelligence tools to enable data-driven decision-making and performance monitoring.

Ready to make it as simple as 1,2,3?

Design

Inside a 2-week to 3-month window, we create your project plan, establish clear deliverables and assemble the necessary team and resources to ensure flawless execution.

Develop

An agile design approach produces progress reports every 90 days. So you can track your budget and make informed decisions faster and smarter.

Deploy

We hit your KPIs. We regroup and refocus on hitting the next set. Or, if you want to exit, we’ll transfer all our code and knowledge to your team.

We design, build and deploy agile ecosystems
of all shapes and sizes.