(24hrs) AI in Operations: Enhancing Workflow Efficiency & Automation

3-Day AI in Operations Course in Singapore: Learn to automate workflows, boost efficiency, and optimise processes with AI tools.

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Up to 70% SkillsFuture Singapore Funding Diagram - SkillsFuture Credit, PSEA & UTAP Claimable

Up to 90%
SkillsFuture Subsidy

Course Synopsis

Modern operations teams keep businesses moving but are often buried in manual paperwork, messy data, and constant firefighting. This three-day, hands-on programme is designed for professionals to cut through the chaos by applying GenAI where it actually counts – from automating the documentation lifecycle to mastering predictive demand forecasting. It focuses on practical wins that reclaim productivity hours and improve daily execution.

Participants will dive into advanced diagnostics, utilizing AI-driven frameworks to identify operational waste (Muda) and perform root cause analysis on logistical bottlenecks. The curriculum bridges the gap between fragmented legacy data and real-time awareness, allowing for sharper insights into supplier risks and inventory spikes. This shift from reactive to proactive management ensures smoother operations and leaner workflows.

Beyond technical skills, the programme prioritizes future-proofing through a clear understanding of Singapore’s PDPA and ethical AI governance. Attendees will develop a structured 90-Day Transformation Roadmap to institutionalize AI workflows, moving from “low-hanging fruit” automation to fully operational, predictive systems. Ultimately, this course empowers operations leaders to work with the speed, clarity, and confidence required for a future-ready business.

Prerequisites

Experience with human resources: Minimal one year of work experience with knowledge of human resources.

Language

Attained at least WPLN level 6; or
Obtained Grade C6 for GCE O-Level English; or
Other equivalent qualifications.

Academic

Obtained at least a pass or C6 at GCE O-Level in at least 3 subjects; or
Candidates with other qualifications will be considered on a case-by-case basis; or
Mature candidates aged ≥ 30 years old with 8 years of relevant working experience.

Learning Units

Learning Unit 1: The Automation Engine – Foundation & Efficiency

Topic 1: The AI Mindset Shift – Transitioning from reactive firefighting to proactive, AI-augmented resource management
Topic 2: The Zero-Paperwork Office – Eliminating manual data entry and reclaiming hours through automated documentation
Topic 3: Reclaiming Your Workday – Using virtual AI assistants to automate administrative “hidden taxes” and internal comms
Topic 4: Lean 2.0: Eliminating Waste – Auditing workflows to remove bottlenecks and maximize existing manpower

Learning Unit 2: Intelligent Supply Chain & Logistics – Resilience & Flow

Topic 5: Risk-Proofing Your Supply Chain – Moving from price-based buying to risk-adjusted procurement and supplier resilience
Topic 6: Precision Demand Forecasting – Ending the cycle of “deadstock vs. stockouts” with predictive inventory insights
Topic 7: Optimized Logistics & Rostering – Solving complex scheduling puzzles to reduce travel time and transport costs

Learning Unit 3: Data-Driven Performance – Insights & Recovery

Topic 8: Rapid Problem Solving – Using AI-driven root cause analysis to stop recurring operational failures
Topic 9: Instant Service Recovery – Turning customer friction into loyalty with automated, high-empathy response systems
Topic 10: Insight-Driven Operations – Transforming messy spreadsheets into clear, actionable visual dashboards
Topic 11: Personalized BI Assistants – Customizing AI systems to highlight the specific KPIs you need most

Learning Unit 4: The Future-Ready Enterprise – Governance & Strategy

Topic 12: Governance & PDPA Compliance – Building trust and accountability through ethical, data-secure AI oversight
Topic 13: 24/7 Quality Assurance – Ensuring standardized excellence across locations with automated compliance monitoring
Topic 14: The 90-Day Operational Roadmap – A Strategic Blueprint for AI Integration

Course Objectives

By the end of this course, you should be able to:

Leverage GenAI to automate the documentation lifecycle and administrative workflows to reclaim productivity hours and reduce manual errors.
Transform raw operational data into actionable insights and predictive forecasts to optimize inventory resilience and supply chain agility.
Apply AI-driven diagnostic frameworks and Lean audits to eliminate operational waste (Muda) and resolve complex logistical bottlenecks.
Navigate Singapore’s PDPA landscape and ethical AI frameworks to ensure data privacy through robust human-in-the-loop oversight.
Formulate a structured AI Strategy Canvas and a 30-day action plan to integrate specialized tools into daily business-critical operations.

Total Training Hours: 24 hours, including a 2-hour assessment

Practical Assessment
Written Assessment

Fees and Subsidies

*Eligible for Singaporean Citizens, Permanent Residents, and Long-Term Visit Pass Plus Holders

Course Fee:
S$1,250.00 (before subsidy and GST)

Course Fee After Eligible Subsidies:
From S$158.75 (inclusive of 9% GST) after 90% SkillsFuture Funding

Learners

Singaporean Citizens ≥ 40 years old

S$158.75 (after SWDA 90% Funding)

SkillsFuture Credits can be used on top of existing subsidies

Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old

S$408.75 (after SWDA 70% Funding)

For Singapore Citizens learners aged ≥ 25 years old SkillsFuture Credits can be used on top of existing subsidies.

For Singapore Citizens aged 17-30 Post Secondary Education Account Funds can be used.

Learners	SMEs	Non-SMEs
Singaporean Citizens ≥ 40 years old	S$158.75 (after SWDA 90% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies	S$158.75 (after SWDA 90% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies
Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old		S$408.75 (after SWDA 70% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies