Algorithms That Safeguard: How Optasia Applies Ethical AI to Financial Inclusion

Optasia applies ethical, data-driven AI to expand financial access across emerging markets. In a recent interview with The Africa Report, Group CEO, Salvador Anglada, discussed the company’s approach to building AI systems that support inclusion while managing risk responsibly.

At the core of this approach is the design of AI systems that support consistent, responsible decision-making across markets, while operating at scale.

What Ethical AI Means in Financial Access

In financial services, ethical AI is defined by outcomes. It requires aligning automated decisions with long-term user wellbeing, ensuring that access to credit supports stability and repeat engagement over time.

At Optasia, scoring models are trained to account for repayment capacity, behavioural consistency, and affordability thresholds. This ensures that financial access remains sustainable for users and manageable across varying economic conditions.

From Approval to Affordability as a Core Design Principle

Credit decisions rely on understanding how much financial obligation a customer can reasonably carry. Optasia’s models evaluate affordability by analysing behavioural and transactional signals that reflect real financial capacity over time.

Credit limits are actively managed and adjusted dynamically, allowing access to expand in line with improving affordability. This approach supports responsible growth while maintaining discipline across large user bases.

Leveraging Unstructured Data Responsibly

Many consumers across African markets operate outside formal credit systems, resulting in limited traditional credit histories. Optasia’s AI models address this by analysing a broad range of behavioural data points, often drawn from thousands of unstructured signals generated through digital interactions.

This data enables a more accurate understanding of financial behaviour and affordability, supporting credit decisions that are both inclusive and controlled. Consumer safeguards are embedded directly into the decisioning logic, ensuring that each approval aligns with sustainable use.

As AI-driven financial platforms scale, consistency and discipline become as important as innovation. Systems must apply the same affordability logic, governance standards, and safeguards across markets, partners, and user segments.

At Optasia, these principles are built directly into how decisions are made. This is what allows financial inclusion to grow sustainably — maintaining trust, protecting users, and supporting long-term participation at scale.

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