Targeting 25% Faster Controls With GenAI

Financial institutions are increasingly exploring generative AI to enhance operational efficiency and reduce manual workloads. As regulatory expectations evolve, banks must ensure that their control systems remain effective, auditable and aligned with operational risk frameworks.

In this context, a leading European bank, under the sponsorship of its retail banking COO and guided by its permanent control organization, set out to optimize its control system with generative AI, aiming to optimize thousands of existing controls and free up execution capacity.

The bank aimed to:

• Review and optimize 4,000 controls, to reduce execution time by at least 25%.
• Assess workloads and decide which controls to automate, amend or eliminate.
• Integrate AI-driven solutions while respecting operational risk and regulatory standards.
• Propose updates for the next operational framework.

Sia combined operational risk expertise with AI capabilities:

• Control assessment: scoping and mapping existing controls, conducting review workshops and assessing workloads.
• Evolution plans: developing control evolution plans.
• Generative AI and automation: creating automation solutions and a generative AI model for controls.
• Roadmap: a comprehensive roadmap for the next operational framework.

The initiative targeted at least a 25% reduction in control execution time across 4,000 controls. Sia delivered the control mapping and review, a generative AI model and automation solutions, and a roadmap that aligns AI innovation with operational risk management.

By combining operational risk expertise, AI innovation and practical delivery, Sia helps banks build leaner, auditable control environments.