Insights
Practical writing on custom training, AI implementation, and what's actually working for enterprise teams.
Start with a guide
Everything here is written for the people who plan and run AI training in organisations: L and D leads, IT and data leaders, and the executives who sign off. Each guide below gives the full picture on one topic and links to the shorter articles that go deeper, so it is the quickest way to find what applies to your team.
- Enterprise AI trainingChoosing a provider, what it costs, and how to run a rollout that sticks.
- AI workshops and fluencyWhat fluency means, prompting as a team skill, and getting value from Copilot and Gemini.
- Implementation and adoptionReadiness, use-case backlogs, governance and taking pilots into production.
- AI risk, governance and scamsDeepfake fraud, voice cloning, data leakage and verification habits.
- AI by industryWhat changes for government, financial services, health and professional firms.
- Databricks for enterprise teamsThe platform, certifications and training built on your own data.
- Data literacy and data trainingData literacy, analytics and engineering skills across the organisation.
- AWS and cloud trainingThe cloud skills enterprise teams need, and how to build them.
- AI training in SingaporeGovernance, tools and training for Singapore enterprises and agencies.
- AI training in MalaysiaPlanning AI training for Malaysian enterprise teams.
Build and Prioritise an AI Use Case Backlog
A practical guide to building and prioritising an AI use case backlog so your team focuses on the highest-value opportunities first.
Ijan Kruizinga
AI Procurement for Government
Government AI procurement in Australia involves unique rules, risk categories and sovereignty requirements. Here is what procurement officers need to know.
Ijan Kruizinga
AI in the Australian Public Sector
What Australian public sector executives need to know about using AI legally, ethically, and in line with current government policy.
Ijan Kruizinga
AI Governance Framework for Mid-Sized Enterprises
A practical AI governance framework built for mid-sized Australian enterprises: what to cover, how to structure it, and where most organisations get stuck.
Ijan Kruizinga
The CFO's Guide to Deepfake Fraud
AI deepfake fraud is costing Australian businesses millions. Here's what CFOs need to know to protect their organisation from synthetic voice and video scams.
Ijan Kruizinga
Five Roles Every Enterprise AI Team Needs
Most enterprise AI initiatives fail not from bad technology but from the wrong team structure. Here are the five roles that actually make AI work.
Ijan Kruizinga
Workflow Design Before AI Tool Selection
Choosing an AI tool before mapping your workflow is the most common implementation mistake. Here's why the order matters, and how to get it right.
Ijan Kruizinga
AI Pilot to Production: The Missing Bridge
Most enterprise AI pilots succeed technically but never reach production. Here is why the transition fails and what IT directors can do about it.
Ijan Kruizinga
What Are AI Agents? A Leadership Primer
AI agents do more than answer questions — they take action. This leadership primer explains what AI agents are, how they work, and what they mean for your organisation.
Ijan Kruizinga
Gemini Training for Singapore Enterprises
Practical Google Gemini training for Singapore enterprise teams. Learn what to cover, how to run it, and how to get measurable adoption from day one.
Ijan Kruizinga
The GCSE Prompting Framework Explained
GCSE is a four-part prompt engineering framework that helps knowledge workers write clearer, more consistent AI prompts. Here's how it works.
Ijan Kruizinga
AI Training: The 90-Day Plan
Move from 'we need AI training' to your first cohort in 90 days. A practical implementation plan for L&D leads in Australian enterprises.
Ijan Kruizinga
Enterprise AI Training Costs in Australia
What should enterprise AI training actually cost in Australia? Here's an honest breakdown of pricing models, hidden costs, and what drives value.
Ijan Kruizinga
Train-the-Trainer vs External AI Delivery
Deciding between train-the-trainer and external delivery for AI fluency? Here's how to choose the right model for your organisation's size, pace and budget.
Ijan Kruizinga
AI Training for Non-Technical Teams
Designing AI training for non-technical staff requires a different approach. Here's how L&D leads can build programs that stick across your whole organisation.
Ijan Kruizinga
In-Person AI Training: Still Worth It?
Remote learning is convenient, but in-person AI training consistently outperforms it for team alignment and behaviour change. Here's when it matters most.
Ijan Kruizinga
Build an AI Literacy Baseline
A practical guide to running an AI literacy assessment across your enterprise, so you train the right people on the right things from day one.
Ijan Kruizinga
AI Training Rollout: The L&D Playbook
Planning a global AI training rollout? This L&D playbook covers sequencing, localisation, measuring impact, and avoiding the mistakes that stall enterprise programs.
Ijan Kruizinga
Team Prompt Engineering
Prompting isn't a solo skill. Learn why team prompt engineering drives better AI outcomes and how to build shared practices across your organisation.
Ijan Kruizinga
How to Assess AI Readiness
Discover the key dimensions for assessing AI readiness in your enterprise—data, skills, governance, and culture—with a practical framework for Australian organisations.
Ijan Kruizinga
Why AI Pilots Stall (and 3 Fixes)
Most enterprise AI pilots fail before they scale. Here are the real reasons why AI pilots stall and three practical fixes that move you from pilot to production.
Ijan Kruizinga
Copilot vs Gemini for Enterprise
Comparing Microsoft Copilot and Google Gemini for enterprise use? Here's a practical, honest breakdown to help Australian IT leaders choose the right tool.
Ijan Kruizinga
Copilot for Finance: Use Cases That Stick
Discover which Microsoft Copilot use cases finance teams in Australia actually adopt, from month-end reporting to variance analysis and audit prep.
Ijan Kruizinga
Why Enterprise AI Training Fails
Most enterprise AI training fails for four fixable reasons. Here's what L&D leaders need to know to build programs that actually change behaviour.
Ijan Kruizinga