Q1: Reflecting on 2025, what were your bank’s major milestones from an operational perspective, and how did you achieve them? Conversely, what were the setbacks and challenges encountered along the way, and what measures were taken to surmount them? How have those lessons shaped your 2026 strategy?

Technology remains a key enabler in achieving our goals and serving clients efficiently. In 2024, we successfully revamped our client onboarding process, cutting turnaround time by more than half. Building on this, we are now digitalising the process and optimising the platform further based on feedback received. To do this, we are leveraging AI and machine learning to redesign processes, enhance user experience, and introduce digital self‑service capabilities.

Throughout the delivery of this multi‑year transformation, we are identifying key considerations that are shaping both execution and our forward strategy. One of the most important is data quality. As we modernise our KYC platform, we are making deliberate decisions to ensure that only high‑quality, well‑structured data is being carried into the new environment. To support this, we are using advanced vision‑language models to analyse approximately seven million KYC documents. This approach is enabling us to systematically improve data accuracy, completeness, and consistency, ensuring the new platform is being built on reliable foundations.

In parallel, we are continuing to refine the process design using client‑centric design principles. This requires us to reassess roles and responsibilities across departments and to update key procedures to reflect the new end‑to‑end journey. Unsurprisingly, to ensure success, careful change management and close collaboration among teams remain essential to ensure smooth adoption and sustained operational performance.

These lessons are significantly shaping our 2026 strategy. We are embedding stronger cross‑functional alignment, investing in continuous data‑quality uplift, and adopting a more iterative, user‑centric delivery approach. This ensures that the solutions we build remain operationally robust, scalable, and aligned with long‑term transformation outcomes.

Q2: As private banks invest in upgrading their KYC systems and scaling AI capabilities, how are you addressing the operational challenges of integrating these technologies while driving measurable KPIs in revenue growth and delivering hyper-personalised client experiences?

Even as we are accelerating investments into modernising KYC platforms and scaling AI capabilities, we are ensuring that frontline performance remains uninterrupted. We are continuing to deliver measurable commercial outcomes even during transformation. Our approach is addressing this through three core principles: operational resilience, data‑driven decisioning, and client‑centric design.

First, we are embedding AI and digital KYC capabilities into existing operating models in a phased and controlled manner. This includes clearly defined accountability models, robust governance, and structured change‑management frameworks that ensure technology uplift translates into process simplification rather than added complexity. By reinforcing data‑quality foundations and standardising workflows, we are creating an operating environment where AI is being deployed safely, consistently, and at scale.

Second, we are tying technology investments directly to measurable KPIs. Faster and more accurate KYC processes are reducing onboarding friction, enabling faster time to revenue and improved client‑conversion rates. Automated insight extraction and improved client profiling are freeing advisors from administrative work, allowing them to focus on high‑value client engagement and unlocking greater wallet share and deeper relationships.

Finally, we are leveraging advanced analytics and AI‑driven insights to deliver hyper‑personalised client experiences. By consolidating data across channels and applying predictive models, we are generating tailored recommendations, more proactive risk management, and enhanced servicing journeys. This convergence of operational efficiency with personalisation is ensuring that compliance excellence is becoming a growth enabler, not a constraint.

Q3: With regulatory requirements continually evolving, private banks are reassessing their compliance systems and processes. From an operational perspective, what are the biggest challenges you face in meeting these requirements, and how is the bank tackling them to maintain both efficiency and client trust?

With evolving regulatory requirements, managing the growing complexity and volume of compliance data while ensuring timely, accurate reporting remains a key operational focus. This can stretch resources and impact client service if not addressed efficiently. We have therefore invested in advanced technologies such as AI and machine learning to automate data analysis and risk detection. 

As vendor solutions had limitations, we developed an in-house model using a hybrid “build and buy” approach. This solution employs generative AI and natural language processing to automate public searches, analyse news for financial crime relevance, deduplicate articles, and link entities to our client network. The result is a more robust ability to assess key risks and a reduction of false positives.

We also emphasise continuous staff training to keep our teams updated on regulatory changes and best practices, embedding compliance into daily operations. Furthermore, we actively participate in industry-wide initiatives and collaborate with regulators to anticipate emerging trends and help strengthen the financial ecosystem’s integrity.

By combining technological innovation, skilled expertise, and industry collaboration, we maintain operational efficiency and uphold client trust, ensuring our compliance processes remain robust and client-centric.