Systems Architecture
Designing and building production AI systems that scale with your business.
Scaling AI Beyond the Pilot: From 1 System to 10
How to scale AI from a successful pilot to multiple production systems across your business without the wheels falling off.
Monitoring Production AI: What to Track and Why
Essential monitoring strategies for production AI systems. Learn what metrics matter, how to set alerts, and when to intervene.
API Integration Patterns for AI-Powered Business Systems
Practical API integration patterns for connecting AI systems to your existing business tools. Lessons from production deployments.
Data Pipeline Architecture for Production AI Systems
Production AI needs production data infrastructure. A practitioner's guide to building data pipelines that are reliable, observable, and maintainable.
Building a Knowledge Management System That Actually Gets Used
Most knowledge management systems become digital graveyards. Here is the architecture and design approach that drives real daily usage.
Cloud Architecture for SME AI: BigQuery, Cloud Functions, and Beyond
Practical cloud architecture patterns for SMEs deploying AI. How to use BigQuery, Cloud Functions, and managed services cost-effectively.
Why You Need a Multi-Model AI Strategy
Using one AI model for everything is a costly mistake. Learn why a multi-model strategy delivers better results at lower cost.
Real-Time Data Processing for AI-Driven Decision Making
How to build real-time data pipelines that feed AI decision-making systems. Practical patterns for UK businesses.