Industry Thoughts

Fintech 2030: Envisioning an AI workforce for risk teams

minute read

At Inscribe, our mission has always been clear: to enable instant trust in financial services.

Over the past year, while our mission has stayed the same, our vision and strategy have evolved to better reflect the future we’re building. It’s an exciting time for us, and we want to share more about where we’re headed.

What does “instant trust” mean?

When we talk about instant trust, we’re envisioning a financial services landscape where trust is immediate. We believe applying for a financial product like a mortgage or opening an account should be seamless — and fair.

But today, the process can be time-consuming and cumbersome, requiring extensive manual verification on both sides. We're building toward a world where that friction is eliminated, allowing for fast, efficient, and fair decision-making across financial services.

We envision an AI workforce risk teams that is at the core of this transformation. These AI-powered teams will perform tasks that traditionally took humans hours, or even days, to complete. The result? Faster decisions, reduced manual work, and a significantly better customer experience.

How does an AI Workforce for risk teams help us get there?

Our vision of creating an AI workforce for risk teams is clearer now than ever.

For years, companies have relied on solutions that require human interpretation and intervention. Now, with advancements in AI, software can produce human-level outputs, reducing the need for constant manual oversight.

This collaboration between human agents and AI is a significant leap forward. In financial services—an industry where accuracy, speed, and fairness are critical—this new technology will revolutionize how companies make decisions on fraud, compliance, and credit.

Already, some of our customers are showing what’s possible. A major personal lender we work with is automatically approving 11% of its applications using our technology. In other cases, customers have reduced onboarding times from 26 days to just 10, and that’s only the beginning.

Why are AI Agents so well-suited for financial services?

One of the key reasons AI agents are perfect for financial services is their ability to handle both standardized processes and ambiguous edge cases. Risk teams often deal with documents, financial data, and other inputs that can be tricky for traditional software to process. AI agents, particularly those powered by large language models (LLMs), can understand and analyze this data with far more nuance than previous systems, making them a powerful tool in detecting fraud and assessing risk.

Moreover, the decisions these AI agents help make are vital for the financial services sector. Correctly identifying fraud, managing compliance, and assessing credit are fundamental to ensuring that financial services remain fair and accessible. Every decision has a significant impact on a company’s bottom line and its customers' experiences.

AI Fraud Analysts — and beyond

Today, our primary focus is on improving our AI Fraud Analyst, working closely with a select group of beta customers and design partners. These AI Agents are designed to handle most of the work that a human fraud analyst would perform, but faster and more efficiently. Over time, we’ll continue to expand our capabilities to cover more roles within risk teams.

What’s especially exciting is the possibility of convergence across these functions. Since fraud, compliance, and credit analysis often require overlapping data and similar skill sets, we believe the future of risk management lies in creating AI Agents that can perform across multiple roles. The objective may differ—fraud detection versus compliance—but the underlying technology can be unified.

Financial services in 2030

As we look ahead, it’s easy to imagine a world where AI Agents are an integral part of every risk team in financial services. These AI-driven risk teams will streamline operations, reduce the need for manual input, and, most importantly, enable financial services companies to deliver a better, faster, and more trustworthy experience for their customers.

In just a few years, we envision our customers having AI agents that do hours of work for them with minimal effort on their part. These agents will not only process data but also interpret results, identify patterns, and even offer recommendations for better decision-making.

It’s an exciting time to be at the forefront of this transformation, and we’re eager to share more as we continue to build toward this future.

Stay tuned for what’s next

We’re already seeing the power of AI agents at work, but there’s still much more to come. Our teams are working closely with our incredible customers to build and refine these tools. And while we’re focused on our AI Fraud Analyst right now, the potential applications are limitless.

The world of financial services is on the verge of a significant shift, and we’re proud to be driving that change. Stay tuned for more updates as we continue to expand our AI workforce and help create a more efficient, fair, and trustworthy financial system.

If you’re a risk leader or financial services operator interested in learning more, we’d love to have a conversation. Simply reach out to schedule a meeting with our team.

  • About the author

    Ronan Burke is the co-founder and CEO of Inscribe. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI. A 2020 Forbes “30 Under 30 Europe” honoree, Ronan is also a Forbes Technology Council Member and has been featured in Fast Company, VentureBeat, TechCrunch, and The Irish Times. He graduated from the University College Dublin with a Bachelor's degree in Electronic Engineering and later completed the Y Combinator startup accelerator program.

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