AI in Banking: Revolutionizing Internal Systems and Document Automation

At Saffron Building Society, we’ve been diving into the potential of AI, particularly in the banking sector. While AI is often seen as a buzzword, the real value lies in how we can use it to simplify complex processes and improve efficiency. For us, the most significant breakthrough has been with our HR system, where we’ve integrated a closed AI, Co-Pilot. By embedding all our policies into this system, we’ve made it incredibly easy for employees to access information and even create their own objectives using the AI. This has led to a more streamlined process and improved productivity across the board.

In addition to enhancing internal operations, we’ve also tested AI’s capabilities in document-heavy areas. By utilizing AI with open banking data and scanned documents in our mortgage process, we’ve seen impressive results in terms of speed and accuracy. However, our challenge lies in the integration of AI with our core banking system. We need to determine whether we should overhaul our banking system to be more interoperable with AI or whether we can use AI in parallel with our current system.

The future of AI in banking is promising, and we’re exploring other practical use cases like smarter chatbots. With the right infrastructure and API accessibility, AI can provide even greater benefits to banking systems, improving everything from customer service to operational efficiency. At Saffron Building Society, we’re committed to staying ahead by exploring how AI can optimize both front-end and back-end processes.