AI-native technology is shaking up the debt resolution industry. But what exactly is it and how does it differ from embedded systems? Read on to discover the fundamentals of this pioneering technology.

Gen AI is everywhere, but what exactly is it? From enhanced automation to completely revolutionised customer support and experience, find out how it’s changing the debt industry for good.

AI is revolutionising the financial sector, but with concerns over ethics, how can firms ensure proprietary and embedded tech stays secure, accurate and unbiased?

Detecting and providing adequate support for vulnerable customers is not only a business-critical consideration for every organisation but an ethical one too. Generative AI is revolutionising this nuanced area of customer support with powerful fine-tuned LLMs. Here’s how we built our proprietary model, Olive 2.0.

With customer service in crisis and chatbots on the rise, find out how gen AI is becoming the new face of customer care for growth-orientated organisations.

Generative AI is capable of providing debt advice in an instant. But is it reliable? Discover some of the challenges and pitfalls.

Ophelos' Data Lead shares 4 lessons learnt while building their data team from scratch.

In episode 2 of Break The Cycle, discover how we use machine learning to tailor communication strategies to every customer.

How can machine learning be applied to the archaic debt collection industry? And what problems can it solve?

We have been recognised as the company harnessing the power of data and AI to deliver solutions for some of the world's toughest problems.

As part of our series on vulnerabilities and debt, we take a look at how living with bipolar can affect a person's financial health.

25% more recoveries, 28% less costs and 68% higher customer satisfaction - find out how we do it.

Discover how tech can remove the shame and stigma so that both customers and businesses can have positive experiences.

Discover how reinforcement learning, an area of machine learning, can be used to solve complex tasks from winning games to fixing finances.

Here we explore how machine learning can be used to predict and prevent vulnerability.

Training computers to understand language can revolutionise the customer experience and help flag up where extra help may be needed.