AI · AIC-28

AI for Banking & Financial Institutions

12 hours 2 days

Last updated 25 Sep 2026

AI for Banking & Financial Institutions is a 12-hour training course by IT Genius Institute. Banks and financial institutions are an industry with large volumes of data and documents, under strict regulation, and demanding very high data accuracy and…

Training schedule

No public rounds are open right now — register your interest and we will contact you when the next round opens, or request an in-house session for your team.

Corporate training quote

Banks and financial institutions are an industry with large volumes of data and documents, under strict regulation, and demanding very high data accuracy and security. Routine tasks such as preparing documents and reports, communicating with customers, analyzing transaction and portfolio data, summarizing policies and regulations, and risk and compliance work are time-consuming and costly. Generative AI greatly reduces the time spent on these tasks, but because the data is sensitive and the industry is regulated, the key is using AI the right way, with verification mechanisms and strong data governance. This course is designed to help banking and financial institution teams use AI

in real work confidently, safely and in a compliant way, covering documents and reports, financial data analysis, customer service and products, risk and compliance work, setting up internal assistants and a knowledge base, and automation with n8n, with data governance, security and PDPA for customer data as the core of every topic. All content is taught through workshops on real financial institution tasks using simulated data, finishing with a capstone project where learners set up an end-to-end AI toolkit for their own work. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)

Objectives

Understand how AI changes financial institution work and choose the right AI tool for regulated tasks
Design prompts for banking and finance work and keep results accurate, referenced and traceable
Use AI to prepare documents, reports and customer communication that are accurate and formal
Use AI to analyze financial, transaction and portfolio data with number-verification mechanisms
Use AI to help with customer service and financial product work
Use AI to help with risk and compliance work, such as summarizing regulations and checking policies
Understand how AI supports KYC/AML and basic risk analysis (in an assistive role)
Set up internal assistants and a knowledge base with Custom GPT/Gems and automation with n8n
Set data governance, data security and PDPA for financial institutions
Understand AI limits and risks in a regulated industry and set responsible practices

Who this course is for

Staff and managers in banks, securities firms, insurers and financial institutions
Operations, product, customer service and relationship manager teams
Risk, compliance and internal audit teams
Data and analyst teams in financial institutions who want to use AI safely
Financial institution executives who want to set up AI systems and practices organization-wide

Prerequisites

General computer and internet skills
Basic Microsoft Excel or Google Sheets skills
Understanding of your financial institution work or process to use as a case study during training
No AI or programming background required

Curriculum

Course Details

A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop on simulated data with a capstone project. Beginner to Intermediate level, no AI background required. The course focuses on using AI as an assistive tool within a data governance framework, with decisions in regulated work remaining with the organization's people and processes. Learners take home a prompt library, an internal assistant (Custom GPT/Gem), document and product FAQ templates, and a data governance framework with a PDPA checklist.

Day 1: AI for Documents, Data and Customer Service

Section 1: AI in Banking and Financial Institutions

An overview of generative AI in financial institution work and what changes in the process
AI use cases: documents, reports, analysis, customer service, risk and compliance
Industry-specific risks and a framework for responsible AI use
Choosing the right AI tool for regulated tasks

Section 2: Prompts and Output Control for Finance Work

A good prompt structure for finance: role, context, data and output format
Instructing AI to reference sources and show reasoning so results are traceable
Preventing hallucination and setting verification mechanisms for numbers and regulations
Building a team prompt library for recurring work

Section 3: Documents, Reports and Customer Communication

Using AI to draft documents, reports and formal letters
Preparing product documents and explaining terms so customers understand, accurately
Cautions on accuracy, disclosure and review before real use
Workshop: draft one document or customer communication with AI plus a review mechanism

Section 4: Financial Data Analysis and Reporting

Using AI to analyze transaction, portfolio and KPI data (on simulated data)
Finding anomalies and trends worth checking
Preparing executive reports that support decisions, with number verification
Workshop: use AI to analyze a simulated financial dataset and summarize key points

Section 5: Customer Service and Financial Product Work

Using AI to help answer customer questions and explain financial products accurately
Preparing standard answer sets and FAQ for the service team
Tailoring communication to each customer group without giving advice beyond scope
Workshop: prepare a product FAQ or customer service message set with AI

Day 2: Risk, Compliance, Internal Assistants and Governance

Section 6: Risk, Regulation and Compliance with AI

Using AI to summarize and compare regulations, rules and internal policies
Helping check document alignment with policy (policy check) in an assistive role
Preparing compliance documents and reports systematically
Workshop: use AI to summarize one set of regulations and build a compliance checklist

Section 7: Risk Analysis and KYC/AML Support

How AI supports KYC and customer data summarization (in an assistive role)
Helping spot suspicious patterns and initial risk issues, with a person always deciding
Scope and limits: AI is an assistive tool, not a decision-maker in regulated work

Section 8: Internal Assistants and Knowledge Base

Building a Custom GPT or Gem as an internal assistant answering policy and product questions
Embedding policies and knowledge for consistent, controllable results
Approaches to limiting permissions and controlling the data the assistant can access
Workshop: build one internal assistant to answer common policy questions

Section 9: Financial Institution Automation with n8n

Setting up automation with n8n, such as report summaries and due-date alerts
Connecting data across internal systems safely and controllably
Security and access-permission cautions in automation
Workshop: design one simple automation flow for internal work

Section 10: Data Governance, Security and PDPA

Data that must not go into AI: customer data, transaction data and confidential data
Handling data before use with AI and choosing AI services suitable for sensitive data
Personal data under PDPA and a data governance framework for financial institutions
Setting the organization's responsible AI usage policy

Section 11: Capstone Project and Real-world Adoption

Task: set up an end-to-end AI toolkit for the learner's work within a governance framework, from documents and analysis to internal assistants and compliance work
Present the work and get feedback from the instructor and peers
A first-30-days adoption plan and setting up safe AI use organization-wide

Frequently asked questions

Who is AI for Banking & Financial Institutions for, and what background is needed?

Built for Staff and managers in banks, securities firms, insurers and financial institutions · Operations, product, customer service and relationship manager teams · Risk, compliance and internal audit teams Background you should have: General computer and internet skills · Basic Microsoft Excel or Google Sheets skills Not sure the fit is right? Talk to our team on LINE @itgenius or call 02-570-8449.

How much does AI for Banking & Financial Institutions cost and how long does it run?

THB 8,900 (currently THB 8,010 on promotion). The course runs 12 hours. The fee covers course materials, lunch and refreshments throughout. Pay by bank transfer to the company account, confirm it on our payment page, and we can issue the receipt or tax invoice in your company's name.

Do I get a certificate?

Yes. Everyone who completes the course receives a Certificate of Completion from IT Genius Institute. Each certificate carries its own number, and anyone holding that number can verify it online on our certificate page, so you can add it to your portfolio or pass it to HR as evidence of training.

Where does the training take place, and is there an online option?

You can attend onsite at IT Genius Institute or arrange to join online, and we also run it as a private in-house session for your team. Ask about dates and venues on LINE @itgenius or call 02-570-8449.

What if I fall behind or miss a session — can I retake it?

Yes. You may retake the same course free of charge in a later round, under the institute's conditions. Tell our team which course and round you attended, and we will check it and offer you the rounds that still have seats. Ask us on LINE @itgenius or call 02-570-8449.

How do I enrol, or request a quotation for my company?

Enrol online with the registration form on this page. You can register several attendees at once and enter your tax ID and billing address for the tax invoice. Or request a company quotation straight from the quote button. For anything else call 02-570-8449 or reach us on LINE @itgenius.