AI & Automation
From AI Pilot to Production: What Has to Change Before It Can Run Reliably
What must change before an AI pilot can run reliably in production: integration, data, permissions, oversight, failure handling, monitoring and ownership.
Insights
Thinking beyond the build.
Perspectives on AI, enterprise technology, software engineering and digital products, for the people deciding what to build, how to build it and what it should change.
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- Enterprise Technology
How to Tell When Disconnected Systems Are Slowing Operations
How duplicate work, broken handoffs, inconsistent records and slow reporting can signal disconnected business systems, and what to map before changing them.
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Ideas worth building on.
AI & Automation
What Does an AI Readiness Assessment Actually Cover?
What an AI readiness assessment covers: business context, processes, data, systems, governance and people, and when the right answer is to wait.
AI & Automation
When Should an AI Agent Require Human Approval?
A practical framework for AI agent human approval: weighing consequence, reversibility, certainty and judgment, and designing approval into workflows.
AI & Automation
Why AI Integration Is an Architecture Decision, Not a Tool Decision
Why AI integration architecture matters more than model choice: data access, permissions, human review and failure handling in production systems.
Software Engineering
What Should You Prepare Before Estimating a Custom Software Project?
What to prepare before a custom software project estimate: the problem, users, workflows, integrations, data, constraints, priorities and success criteria.
About Insights
Practical thinking for AI and technology decisions.
AITECHIS Insights examines how artificial intelligence, enterprise systems, automation and software engineering translate into practical business and technology decisions. Articles are written for business owners, operations leaders and technology teams who have to decide what to build, how it should fit into existing operations and how to tell whether it is working.
The focus is implementation rather than industry news: architecture choices, governance and human oversight, operational AI, enterprise integration, software engineering and product decisions. Each article aims to leave you with the questions to ask, the trade-offs to weigh or a sequence to follow.
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