Artificial Intelligence (AI)-powered Document Intelligence and Data Extraction for Accounting and Finance
- Analytics & Tech
- Artificial Intelligence
- Finance & Investment
This module is conducted on-campus.
To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.
3 days
Weekdays (9am - 6pm)
Singapore Management University
Who Should Attend
- Management Accountants
- Financial Accountants
- Auditors
- Financial Controllers
- Finance Managers
Overview
This course addresses this challenge by equipping professionals with practical techniques to transform unstructured data into structured, audit-ready information. Participants will learn how to apply Large Language Models (LLMs) to process invoices, claims, and contracts, moving beyond basic extraction to end-to-end, Artificial Intelligence (AI)-enabled finance workflows.
Over three intensive days, participants will evaluate automation opportunities and develop the practical skills to implement document intelligence responsibly. Emphasis is placed on improving data quality, strengthening control visibility, and accelerating processing speed in real-world finance environments.
As a specialised applied module within the broader Industry Graduate Diploma in AI in Accounting pathway, this course prepares participants to redesign document-heavy workflows using AI, reducing manual effort while unlocking efficiency, accuracy, and business value through smarter document processing.
Learning Objectives
At the end of the 3-day programme, participants will be able to:
- Analyse document-heavy accounting and finance workflows to identify high-value opportunities for Artificial Intelligence (AI)-enabled extraction and intelligent document processing
- Differentiate between Optical Character Recognition (OCR), intelligent document processing, and Large Language Model (LLM)-assisted extraction approaches, and select the right approach based on document type, workflow requirements and control needs
- Evaluate the suitability of document intelligence tools and workflow designs for specific finance use cases using operational, data quality and governance criteria
- Build end-to-end document extraction workflows that incorporate classification, data capture, validation, exception handling and downstream handoff
- Design a basic validation and review logic, including confidence thresholds, exception routes and human-in-the-loop checkpoints for finance-grade use
- Assess key risks in AI-assisted document extraction, including inaccuracies, incomplete capture, audit trail gaps, privacy concerns and vendor dependency
- Understand controls-aware implementation approaches that support accuracy, accountability and reconciliation in enterprise finance settings
Assessment
As part of the requirement for Skills and Workforce Development Agency (SWDA), there will be an assessment conducted at the end of the course. Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion.
Calculate Programme Fee
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$1,177.20 (After SWDA Funding 70%) |
$457.20 (After SWDA Funding 70% |
$1,177.20 (After SWDA Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$457.20 (After SWDA Funding 70% |
$457.20 (After SWDA Funding 70% |
$457.20 (After SWDA Funding 70% |
|
International Participant |
$3,924 (No Funding) |
$3,924 (No Funding) |
$3,924 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
SkillsFuture Level-Up Programme for Mid-Career Individuals
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Employer Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
Next Intake: To be advised
*Registration will close 5 calendar days before the course start date, or once the class is full, whichever comes first.
Course commencement is subject to sufficient enrolment and confirmation by SMU Academy.
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