SIM Professional DevelopmentAutomation
Developing AI Enabled Workflows with Systems Thinking
This programme equips professionals to use Systems Thinking to design AI-enabled workflows and identify workflow opportunities.
Course details
Provider
SIM Professional Development
Duration
1 day
Full fee
S$709
Indicative net
from S$567
Certification
Diploma
Format
See provider
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Skillsfuture
What the course covers, in detail
Module topics and in-class coverage, from SIM Professional Development's own course page.
- 1. Understand AI-Enabled Workflows as a System
- • Why isolated AI automation may fail to improve overall performance
- • Viewing workflows as a system of inputs, information, handoffs, decisions, controls and outcomes
- • Distinguishing workflow friction, recurring workarounds, bottlenecks and downstream consequences
- • Identifying the difference between digitising the existing process and innovating the way work is organised
- 2. Frame AI-enabled innovation using guiding ideas
- • Clarifying the purpose and intended value of the workflow innovation
- • Formulating guiding ideas such as one trusted source of information, prevention at source, exception-driven workflow and human accountability with AI assistance
- • Defining design principles and non-negotiable conditions
- • Aligning workflow innovation with customer value, organisational purpose and operational outcomes
- • Establishing what the innovation is not intended to automate or replace
- 3. Apply theories, methods and tools with Generative AI
- • Use Generative AI to analyse the current workflow, compare innovation methods and identify improvement opportunities
- • Map workflow handoffs, stakeholder requirements, information dependencies and decision rights
Who should attend
- Level 2 - Supervisor, Executive, & Emerging Managers Level 3 - New Managers Level 4 - Managers
What you'll gain
- By the end of this course, you will:
- • Apply Systems Thinking to examine workflows as interconnected systems of people, information, decisions, technology, controls and outcomes.
- • Identify workflow opportunities for AI by distinguishing between isolated task automation and end-to-end workflow redesign.
- • Diagnose workflow friction such as duplicated effort, fragmented information, delayed decisions, rework and recurring workarounds.
- • Use Generative AI as an innovation partner to interpret evidence, compare methods, generate workflow alternatives, challenge assumptions and stress-test proposed solutions.
- • Design AI-enabled future-state workflows that specifies AI and human responsibilities, information requirements, decision ownership, controls, approvals and exception handling.
- • Develop an AI-Enabled Workflow Innovation Blueprint through a hands-on, cross-functional simulation, translating analysis and design decisions into a practical workflow proposal.
- Through this course, you will be empowered with:
Information note: this listing was gathered from SIM Professional Development's public course catalogue (last checked 2026-09-03). Fees, dates and funding status change — always confirm on the provider's official page ↗ before enrolling. Inclusion in this directory is not an endorsement.