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WSQ - Business Transformation with Agentic AI and AI Agents

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Digital Technology Adoption and Innovation-4
TSC Code: ACC-ICT-4004-1.1

Funding for this course is valid from 20 Sep 2024 to 19 Sep 2026. Register and complete the course within this period to qualify for funding support.

By end of the course, learners should be able to:

LO1: Anticipate and address potential issues in transitioning to Agentic AI and AI Agents.
LO2: Plan and implement a smooth transition from old systems to Agentic AI and AI Agents.
LO3: Identify opportunities to adopt emerging technologies and plan training for Agentic AI and AI Agents.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Business Transformation with Agentic AI and AI Agents

Course Code: TGS-2024049182

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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This course equips organisations with the knowledge and practical skills to drive business transformation using agentic AI and AI agents. Participants will explore how AI agents can perform multi-step tasks, use digital tools, analyse information, coordinate workflows, and collaborate with employees across different business functions.

Learners will identify suitable transformation opportunities by examining existing processes, operational challenges, customer needs, and performance gaps. They will redesign workflows by assigning appropriate responsibilities to employees and AI agents, enabling repetitive activities to be automated while keeping important decisions under human oversight.

The course covers practical applications across executive management, sales, marketing, customer service, finance, human resources, IT, administration, and operations. Participants will develop AI-assisted workflows for research, reporting, document processing, data analysis, customer engagement, task coordination, and decision support.

Learners will also develop a structured adoption plan covering business objectives, process priorities, workforce readiness, roles and responsibilities, system integration, data requirements, implementation timelines, and performance indicators. Emphasis is placed on change management, employee onboarding, security, privacy, governance, accountability, and responsible AI use.

Through hands-on activities and business scenarios, participants will evaluate the benefits, costs, risks, and operational impact of AI agent adoption. By the end of the course, learners will be able to create a practical transformation roadmap that uses agentic AI to improve productivity, service quality, decision-making, scalability, and overall business performance.

Skills Framework

This course follows the guideline of Digital Technology Adoption and Innovation ACC-ICT-4004-1.1 under Accounting Skills Framework

Full Fee $900.00 Before GST

GST $81.00 9% of fee

Baseline Nett $531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $351.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Business Process Transformation and Cross-Functional AI Agent Use Cases

Topic 2: Transition Planning, Workflow Integration and AI Agent Implementation

Topic 3: Workforce Enablement, AI Governance and Business Value Optimisation

Written Exam
Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target age group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

Singapore Citizens and Singapore Permanent Residents aged 21 and above.
Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
Employers can also claim Absentee Payroll funding for employees who attend during working hours.
Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

Attendance is taken digitally with Singpass for every session, including the assessment.
You must complete the course and pass all assessments (assessed as Competent).
If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
9% GST is charged on the full course fee before funding.
Promo and discount codes cannot be used on funded courses.
Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA).

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
We email you an invoice showing the course fee after funding.
From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
Click Submit a Claim and search for this course by its course code, TGS-2024049182.
Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.

Check your company's SFEC eligibility and balance on EnterpriseSG.
Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
Discuss the decision with the assessor or the assessment manager first.
If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Digital Transformation Manager
IT Manager
Business Analyst
Chief Technology Officer (CTO)
AI Solutions Architect
Enterprise Architect
Data Analyst
Business Consultant
Change Management Specialist
Automation Specialist
Sales Manager
Marketing Strategist
Human Resource Manager
Finance Manager
Operations Manager
Learning & Development Manager
Customer Experience Manager
AI Adoption Specialist
Productivity Consultant
Corporate Trainer

Trainers

Dr. Alfred Ang sits on both sides of AI-driven business transformation: he leads it inside his own company and he builds the agents that make it work. As Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and the founder of Tertiary Courses, he leads agentic AI adoption and digital transformation initiatives, helping organisations move from experimentation to operational AI across customer service, internal workflows, analytics and decision support. As a full-stack AI developer and Agentic AI solution architect, he designs multi-agent systems with frameworks such as n8n, CrewAI, Microsoft AutoGen and the OpenAI, Google Gemini and Claude agent SDKs. His GitHub portfolio of 300+ public repositories includes workplacelearning, a site focused on AI transformation and job redesign, and AICoaching, a coaching simulator for redesigning jobs around accountable AI-agent ownership. His kacificerpr prototype shows the operational side: purchase orders with human-in-the-loop approvals by email, Asana and Telegram, three-way-matched invoices, stock replenishment and DeepSeek agents, while AI-LMS-TMS is a self-hosted training management system with AI agent automation for Singapore's SkillsFuture ecosystem. He is a certified PMP, Certified ScrumMaster and ITIL practitioner, a Microsoft Certified AI Engineer Associate (AI-102) and an AWS Certified Solutions Architect, and he holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU. His academic background includes a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS.

In this WSQ course, Dr. Ang equips managers, team leaders and transformation staff to identify, plan and deliver change with AI agents. Topic 1 covers business process transformation and cross-functional use cases: examining existing processes, operational pain points, customer needs and performance gaps to find where agents that perform multi-step tasks, use digital tools and analyse information can add value. Topic 2 addresses transition planning, workflow integration and implementation, where learners redesign workflows by assigning responsibilities to employees and agents, automating repetitive steps while keeping important decisions under human oversight, as his own procurement prototype does with its approval loop. Topic 3 turns to workforce enablement, AI governance and business value optimisation: preparing staff for new roles, setting policies and controls, measuring outcomes and scaling what works. His project management, Scrum and ITIL training shape how he teaches roadmaps, pilots and service transition, and his governance certification grounds the discussion of risk, accountability and transparency. He brings a candid founder's view of what actually changes when agents join a team, including the skills people need and the resistance leaders should expect. As an ACTA-certified trainer and DACE-certified curriculum developer, he combines case discussions with hands-on agent demonstrations, so participants leave with a transformation canvas for a real process in their organisation, a draft implementation plan and a shared language for working with technology teams. To see his AI transformation and agent projects, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Bernard Peh is a data scientist, senior fund manager and ACLP-certified trainer with more than two decades of experience in data analytics, finance and AI-driven decision systems. As a Senior Partner at Big Data Venture Capital (BigDataVC), he applies machine learning and AI modelling to generate financial market insights, and has led consulting projects, curriculum development and training operations for blue-chip firms. His technical expertise spans Python, Microsoft Power BI, data cleaning, feature engineering, ETL and visualisation. Bernard serves as a principal trainer at multiple accredited training organisations, teaching data science, Python programming, Power BI and Excel analytics.

In WSQ - Business Transformation with Agentic AI and AI Agents, Bernard combines his business intelligence background with his AI modelling experience to help professionals plan practical change. Learners analyse business processes and cross-functional AI agent use cases, work on transition planning, workflow integration and implementation, and address workforce enablement, AI governance and business value optimisation. Bernard emphasises evaluating the benefits, costs, risks and operational impact of adopting AI agents, so participants can build a sound case for change. They leave able to identify where agents add real value and how to integrate them responsibly into daily operations.

Sanjiv Venkatram is an IT consultant and Microsoft-certified professional specialising in digital transformation, enterprise cloud adoption and intelligent workplace solutions. As a corporate trainer and technology evangelist, he focuses on equipping professionals to harness agentic AI and AI agents for business innovation, with training that bridges business process design, data analytics and human-agent collaboration. CEO of Prudentia Consulting and ACTA-certified, he previously worked at Microsoft across the US and APAC, Cognizant, Yazaki North America and Oracle, and has rich experience of turnaround environments and strategic transformations.

In this course, Sanjiv guides participants in redesigning workflows so that AI agents automate repetitive multi-step tasks while important decisions stay under human oversight. Learners examine business process transformation and cross-functional AI agent use cases, then plan the transition, integrate agents into existing workflows and implement them. The final topic addresses workforce enablement, AI governance and business value optimisation, where his background in financial planning and analysis helps learners judge whether agents are delivering real returns. His practical, hands-on style means participants leave with a transformation plan they can take back to their organisation and a clear view of how to balance automation with accountability.

Truman Ng is an IT and cloud infrastructure expert with over 20 years of experience in enterprise networking, cybersecurity and digital transformation. Working across Microsoft, Cisco and Huawei systems, he has implemented hybrid cloud and automation solutions that improve operational efficiency and scalability, and he has delivered training in DevOps, cloud computing and automation for global corporations. He holds PMP and Huawei HCIE certifications and is an ACTA-certified trainer who blends technical mastery with a learner-focused approach centred on real-world applications of cloud and AI technologies.

In WSQ Business Transformation with Agentic AI and AI Agents, Truman teaches professionals how to integrate AI agents into business workflows, transforming productivity through intelligent automation, collaboration and data-driven decision-making. Learners examine existing processes and cross-functional use cases to spot transformation opportunities, then plan the transition, integrate agents into workflows and manage implementation. The course also covers workforce enablement, AI governance and how to optimise business value. Drawing on his automation and transformation work, he prepares participants to scale AI agent adoption confidently, with careful attention to security, privacy and responsible AI use.

Eugene Wong is an IT consultant and Microsoft Certified Trainer whose work bridges business analysis, project management and digital transformation, helping organisations make effective use of cloud and AI solutions for productivity and innovation. His background lies in system architecture, ERP implementation and cloud solutioning, and he has designed and implemented enterprise systems for both commercial and government sectors, specialising in Microsoft 365, Azure, Power Platform and collaboration technologies. As an ACLP-certified trainer, Eugene delivers hands-on sessions that show learners how to harness AI agents to automate processes, manage projects and visualise data, guided by a training philosophy centred on real-world applicability.

In Business Transformation with Agentic AI and AI Agents, Eugene draws on this enterprise systems experience to show how AI agents can be integrated into IT, administration and operations workflows. Learners examine existing processes and business functions to identify cross-functional use cases, then plan the transition by redesigning workflows, assigning responsibilities between employees and AI agents, and addressing system integration and data requirements. He also covers workforce enablement and the AI governance that keeps adoption accountable, with important decisions kept under human oversight. Participants leave able to scope, implement and evaluate AI agent initiatives that deliver real business value in their own organisations.