Banking and financial services teams can independently identify, evaluate, and implement AI solutions for credit risk, compliance, fraud detection, and customer experience — within regulatory requirements — reducing manual work by 40-60% while improving accuracy and speed of financial operations.
A comprehensive AI training programme built specifically for banking and financial services professionals. From AI-powered credit risk analysis to regulatory compliance automation, fraud detection, and customer experience transformation — your financial services teams learn to apply AI within the frameworks, regulations, and workflows unique to their industry. Designed for banks, insurance companies, asset managers, and fintech firms across Southeast Asia.
THE CHALLENGE
Our compliance team is overwhelmed — regulatory requirements keep growing but headcount doesn't.
We know AI can improve credit risk decisions, but we don't know where to start safely.
Competitors are using AI for fraud detection and we're falling behind.
Our relationship managers spend 60% of their time on admin instead of client engagement.
We tried off-the-shelf AI training but it didn't cover financial regulations or our specific workflows.
Our board wants an AI strategy but our teams lack the literacy to execute one.
Trusted by enterprises across Southeast Asia
OUTCOMES
OUR PROCESS
We assess your current AI maturity, regulatory environment, technology stack, and strategic priorities. This includes interviews with risk, compliance, operations, and business leaders to map your highest-impact use cases.
We tailor modules to your specific sub-sector (banking, insurance, asset management, fintech), regulatory jurisdiction, and team composition. All examples, case studies, and exercises use financial services scenarios your teams will recognise.
Interactive workshops using real-world financial services data sets (anonymised), regulatory scenarios, and industry tools. Each module combines concept explanation with immediate practice on tasks your teams perform daily.
Participants develop 2-3 AI use case proposals specific to their departments, with business cases, risk assessments, and implementation roadmaps — ready for leadership review.
30-day post-programme support includes office hours, Slack access, implementation coaching, and a follow-up session to review progress on use case pilots and address emerging challenges.
Banking operations teams, risk & compliance departments, relationship managers, and financial services leaders looking to accelerate AI adoption within regulatory guardrails
IS THIS RIGHT FOR YOU?
See yourself in the list above?
Let's TalkCURRICULUM
Understand how AI, machine learning, and large language models apply specifically to banking, insurance, and financial services — with a focus on what's possible within regulatory constraints.
What you'll be able to do
COMMON QUESTIONS
Let's discuss how this solution can help your organization achieve its AI ambitions.
Start a Conversation