Can AI Revolutionise B2B Risk, Compliance and Governance?

As regulatory landscapes become more complex and data volumes explode, AI can offer businesses a powerful toolkit for navigating these challenges with greater efficiency and foresight. 

According to a 2025 McKinsey report, more than 72% of organisations have adopted AI in at least one business function, which is a clear indicator of its burgeoning influence.

Financial institutions, in particular, are at the forefront of this adoption curve. An example of this is Japanese financial powerhouse, Nomura.

Challenges in the adoption of AI

However, the path to AI integration is not without its hurdles.

Regulators are increasingly demanding transparency and explainability in automated decision-making. 

This means that B2B companies cannot simply deploy AI solutions without a clear understanding of how they arrive at their conclusions, especially in critical areas like credit scoring and fraud detection. 

There is also the persistent issue of data quality. AI systems are only as good as the data they are trained on and biases within that data can lead to skewed and unfair outcomes.

Growing green concerns 

The sustainability of AI is another growing concern. The immense computational power required to train and run complex AI models has a significant environmental footprint. 

As companies scale up their AI initiatives, they will need to consider the energy consumption and carbon emissions associated with their AI infrastructure. 

This is where the concept of green AI is gaining traction, with a focus on developing more energy-efficient algorithms and hardware. 

Some firms, like HSBC, are already making substantial commitments to both sustainable finance and AI, indicating a future where these two domains are increasingly intertwined.

Despite these challenges, the momentum behind AI adoption in governance, risk and compliance (GRC) is undeniable. 

The AI in the fintech market is projected to grow from US$14.1bn in 2024 to US$17.79bn in 2025, according to the Business Research Company. 

This growth is fuelled by the tangible benefits that AI can deliver.

Could AI be the future in GRC? 

From automating tedious compliance tasks and reducing false positives in anti-money laundering checks to providing predictive insights into potential risks, AI is empowering B2B companies to be more proactive and strategic in their GRC efforts. 

As the technology continues to mature, we can expect to see even more sophisticated AI applications emerge, further reshaping the landscape of GRC for years to come.

Kshitija Joshi, the Vice President of Data Risk & AI Solutions at Nomura, is a key figure in this space. Her team is dedicated to building AI and machine learning solutions that intelligently automate the controls and guardrails for data and AI risks.

For more insights about AI-powered GRC, join Kshitija at FinTech Live: London 2025 for a fireside chat about the critical role of AI in the GRC landscape. 

The fireside will focus on how critical AI is in maintaining robust governance frameworks within large financial corporations.

Tickets are available here.