In this Customer Ignite Talk, Ravneet Shah, CTO of Allica Bank, discusses how the UK-based SME challenger bank is leveraging AI to drive rapid growth and innovation across its operations. Since obtaining its banking license in 2019, Allica Bank has focused on combining technology with relationship banking to serve small and medium-sized enterprises. Ravneet highlights that their AI journey began in 2023 with experimentation and learning, leading to a clear strategy for scaling AI adoption across all departments, from product development to lending operations. The bank has significantly increased AI adoption internally, with median workday usage rising from 25% to 77%.
Ravneet explains that Allica Bank has restructured its product engineering teams to better integrate AI into their workflows. Moving away from the traditional Spotify model, they now operate with smaller, more versatile “squadlets” that combine roles such as backend, frontend, testing, product ownership, and analysis into multifunctional team members. This approach reduces hand-offs and accelerates product development, enabling the bank to achieve over 3,700 deployments in the past year. The goal is to empower product managers and designers to ship code directly to production, fostering faster innovation and responsiveness.
A key area where AI has transformed Allica Bank’s operations is in lending and underwriting. Given the complexity and manual nature of SME lending, especially with brokers and introducers who often submit incomplete applications via email, the bank has implemented AI-powered agents to automate information gathering and validation. These agents interact with brokers to fill in missing details before processing applications, significantly reducing decision times to under 7 to 12 minutes. This approach improves efficiency without forcing customers to change their preferred communication methods, enhancing the overall lending experience.
Regarding relationship banking, which is central to Allica Bank’s value proposition, Ravneet emphasizes that AI is used to augment rather than replace human relationship managers. Instead of deploying chatbots to handle customer interactions, the bank provides relationship managers with AI-driven insights and contextual information about their clients. This augmentation allows staff to focus on building deeper, more meaningful relationships by spending quality time with customers, supported by better data and analytics.
Looking ahead, Ravneet envisions doubling the number of product deployments and increasing both customer-facing and internal product improvements, including areas like risk, compliance, and security. The bank aims to maintain and enhance service speed and quality while scaling AI integration. The conversation concludes with appreciation for the collaboration between Allica Bank and OpenAI, highlighting the mutual benefits of feedback and continuous improvement in deploying AI technologies within regulated banking environments.
