Software Development
Audit Trails and Permission Models for Internal Business Applications
What to record in an audit trail, how to protect it, and how to design permissions with least privilege, deny by default and separation of duties.
Insights
Research and perspectives from YHVH Cyrus Enterprises on enterprise AI, software development, automation and the systems organizations actually run.
Articles are written for business and technical decision makers, edited before publication, and revised when the underlying picture changes.
Articles
Software Development
How to Scope the First Release of Enterprise Software
A first release should let one team run one complete workflow. What to decide now, what to postpone, and how to define done.
Enterprise AI
What Is Enterprise AI? A Practical Guide for Business Leaders
Enterprise AI is judged on operational outcomes under governance constraints, which makes it a different discipline from the AI most people have used.
AI Agents
AI Agents vs Traditional Automation: What's the Difference?
Rule-based automation is deterministic and brittle; agentic systems are adaptive and probabilistic. The difference decides where each belongs.
Business Automation
From Workflow Automation to Agentic AI
Moving from scripted workflows to goal-directed systems changes what you specify, what you test and what can go wrong unattended.
Human-AI Collaboration
Human Oversight in Autonomous AI Systems
Oversight that exists on paper but not in practice is the most common governance failure in deployed AI systems.
Singapore Technology
Enterprise AI in Singapore: What Business Leaders Need to Understand
Singapore's regional headquarters concentration, talent costs and procurement maturity shape how AI deployment actually proceeds here.
Enterprise AI
Build vs Buy: Choosing an Enterprise AI Platform
The decision turns on where your differentiation actually sits and what you can maintain, not on a feature comparison.
Business Automation
How Enterprises Should Measure the ROI of AI Automation
Model metrics are diagnostics. Return has to be measured against a baseline in operational units, and most programmes never take one.
AI Governance
AI Governance for Enterprise Software Deployments
Governance is an engineering practice before it is a policy document: versioning, logging, approval paths and a defined way to stop the system.
Software Development
The Architecture of Modern AI-Enabled Business Applications
Treating the model as a replaceable dependency behind a defined boundary is what keeps an AI application maintainable as the field moves.
Topic clusters
Current areas of writing: enterprise AI, AI agents, software development, business automation, AI governance, Singapore technology, enterprise marketing technology, and human-AI collaboration.