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.

3 Days

24 hours, including a 2-hour assessment

LU 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

LU 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

LU 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, highempathy 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

LU 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

Upon successful completion of the (24 hrs) AI in Operations: Enhancing Workflow Efficiency & Automation course assessment, participants who have attended at least 75% of the course will receive a Certificate of Attendance by @ASK Training.