How Standard Chartered uses AI

In the AI Verify Foundation's Global AI Assurance Pilot (February to May 2025), PwC acted as independent tester of a generative AI tool Standard Chartered built to draft personalised client emails for wealth relationship managers, a tool that was itself still in an internal pilot. PwC turned the requirements in the tool's system prompts into a structured checklist and ran batch tests on synthetic client profiles and edge cases, using an LLM as a judge to find hallucinations and contradictions against the input data and to score completeness, coherence, engagement and internal compliance, alongside NLP similarity metrics for robustness. Human subject matter experts scored a subset of drafts on the same framework to check that the automated judge was calibrated. The published case study reports the method and the effort involved, not the test results, which it says are confidential.

No outcome disclosed.

Standard Chartered's Corporate and Investment Banking division began moving its client relationship management onto one Dynamics 365 platform in 2021, to improve client engagement for the division's clients in the 67 countries in which it operates. The programme was meant to make the platform's more than 6,000 users more effective and productive. The platform combines news feeds and internal information with AI in a Client Insights feature that surfaces opportunities for proactive engagement, and makes automated call reports that document client engagement easy to create and share in Outlook; the story does not say that AI drafts those call reports. It says the bank plans to adopt further AI capabilities through Microsoft Copilot for Sales next.

No outcome disclosed.

Standard Chartered partnered with Instabase to automate client onboarding, credit documentation and know your customer checks in Corporate and Institutional Banking. The machine learning and natural language processing solution reads documents and unstructured forms, and automates client due diligence by sourcing sanctions and adverse media information from public and private registries, so cases are processed automatically overnight instead of by staff copying and pasting from registries by hand. The bank says average client onboarding time in that business fell from 41 to 8 days since 2015, and expects the Instabase solution to bring it down further. The solution went live in Singapore, India and the United Kingdom, with Bangladesh among its first markets and further rollout planned.

• Cycle time: 8 days, average onboarding time in Corporate and Institutional Banking, at the time of the 2018 announcement

  "In Corporate & Institutional Banking (CIB), average client onboarding times have dramatically reduced from 41 to 8 days since 2015, and will continue to fall with the use of Instabase to digitise the bank."

  Claimed by: organization

Standard Chartered announced a partnership with Silent Eight to give its financial crime compliance teams machine learning and natural language processing for name screening. The system recommends whether a screening alert is a true or false match and explains the recommendation in a plain English narrative for the analyst. The announcement describes aims rather than results.

No outcome disclosed.