Five Ways to Trigger an AI Agent: Financial Company Case Study
Twenty-two IT operations staff at a financial company explored the agentic loop and five ways to trigger Claude Code: memory, skills, hooks, commands and subagents.
[ BLOG · 169 ARTICLES ]
Practical guides from our trainers — plus how to fund your upskilling with WSQ funding and SkillsFuture Credit.
Twenty-two IT operations staff at a financial company explored the agentic loop and five ways to trigger Claude Code: memory, skills, hooks, commands and subagents.
A 24-person cohort from PUB, Singapore’s National Water Agency, explored practical, human-verified uses of Copilot for FMEA, DMAIC and SPC.
Twenty engineers from a financial company built a PMO Kanban board with Claude Code, including WIP limits, an audit trail and cycle-time reporting.
Over three days, Dr. Alfred Ang trained the team at Kacific Satellite Broadband on Claude Code and Microsoft Copilot Studio — then spent day three building a working procure-to-pay ERP system for their Asia-Pacific depot network, with AI agents and human approval gates. Here is what the software does and what the team learned.
Twenty-four IT support staff at a financial company built a ticketing app with Claude Code and explored commands, MCP tools, skills, agents and hooks.
In the second Claude Code cohort for Red Beacon, the team built and deployed a complete financial-consultancy website in a day — and we covered Claude Cowork too. Here is how, and how to run it for your team with WSQ funding.
How 15 Qualcomm operations staff shipped 6 production AI workflows in a 3-day hands-on n8n cohort — and how your team can do the same with up to 70% WSQ funding.
A one-day Claude Code workshop turned 10 non-developer finance staff into builders who shipped a live website. Here is what they learned — and how to run it for your team with WSQ funding.
From prompt engineering to harness engineering: how 19 MINDEF professionals learned to configure and govern AI agents with OpenClaw — and how your team can build the same skills with WSQ funding.
PDPA exposure, confidential data leaking into public AI, copyright risk — why Kajima trained its Singapore staff in responsible AI governance, and how you can too with up to 90% funding.
Twenty Charles & Keith staff from Ops, Marketing, Finance and HR solved four real business problems with generative AI in two days. Here is how — and how to run it for your team with WSQ funding.
Forty developers at the National Institute of Education shipped working agentic workflows on self-hosted n8n in a single day — with a focus on guardrails, security and failure modes. Here is how, and how your team can learn it with up to 70% WSQ funding.