The Brief
A Singapore-based logistics and airfreight company needed its workforce to move from AI curiosity to AI capability — fast. With 57 staff from across operations, logistics coordination, and customer-facing functions, the challenge wasn’t just upskilling. It was ensuring that learning translated directly into the team’s actual day-to-day workflows: airfreight rate management, client communication, documentation, and operational decision-making.
The programme needed to be practical, industry-specific, and immediately applicable. No abstract theory. No generic slides.
What Was Delivered
A two-day AI Productivity & Applied Agentic AI Workshop, designed around the company’s operational context from the ground up.
Day 1 — AI Productivity Essentials
Participants began with the foundations: what today’s leading AI tools can and can’t do reliably, how to structure prompts for high-quality outputs, and how to evaluate AI-generated content critically. The session demystified the technology and replaced anxiety with informed confidence — addressing the fear-of-replacement narrative directly in the opening hour.
Key tools covered: ChatGPT, Gemini, Claude, Perplexity, NotebookLM.
Day 2 — Applied Agentic AI
Moving beyond prompting, participants explored context engineering, multi-step task design, and the AnyGen agentic AI platform — learning how to build lightweight automations for recurring operational tasks. Each participant scoped at least one real workflow from their role that AI could support immediately.
Practical exercises included: building an airfreight rate calculator, structuring client outreach, automating documentation drafts, and AI-assisted research workflows.
By the Numbers
Post-training survey results across all 57 participants:
- 91.2% rated the workshop Excellent or Good — zero negative ratings recorded
- 100% agreed or strongly agreed the content was practical and easy to apply to their specific role
- 100% now understand how to use AI to improve productivity, communication, research, and decision-making
- 96.5% feel significantly more confident using AI tools in their professional environment
- 96.5% can now write effective prompts by structuring role, task, context, and constraints
- 93% identified at least one specific immediate work task where AI can support their operations
- 91.2% found the content directly relevant to their daily work
Most valued tools: ChatGPT (89.5%), AnyGen/Agentic AI (84.2%), Gemini (80.7%), Claude (77.2%).
What Participants Said
“Thank you Kelvin! For being such an awesome trainer over the past 2 days. It was definitely an enriching experience… Originally, I had doubts when it came to using AI due to privacy issues and the possibility of over-reliance. However, your training has definitely opened up my views on the topic and now I am more open to the idea of introducing AI into my work and life.”
“Kelvin was very friendly and knowledgeable. He is very willing to hear out questions and listen to our input — he was able to easily ease the mood and make everyone comfortable. The overall learning environment was very bright.”
“He seems very knowledgeable, and patient in answering all queries we had.”
“I enjoyed this course and it’s making me want to learn more about AI.”
What This Tells Us
This engagement confirms a pattern that holds across every industry Mindscape has worked in: when AI training is built around the specific operational context of the team — not generic use cases — adoption rates are dramatically higher, and the shift from anxiety to confidence happens within the first session.
The zero negative rating result, combined with 100% agreement on practical applicability, reflects what happens when training design starts with the workflow, not the tool.
Feedback data sourced from post-workshop survey completed by all 57 participants. Client details anonymised per confidentiality agreement.