AI Guide
Practical Applications of Generative AI in Business
Beyond the hype: the everyday business tasks where generative AI genuinely helps, and how to introduce it without creating new risks.
· 6 min read
Resources
Insights for Smarter Technology Decisions
Practical articles, guides and illustrative scenarios to help you plan AI initiatives, build better software and make confident technology decisions.
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EngineeringPlanning a Reliable SaaS Application Architecture
The early architectural decisions that determine whether a SaaS product scales gracefully, and how to make them without over-engineering.
6 min read
AutomationUsing AI to Improve Business Workflow Efficiency
A step-by-step approach to finding where AI removes friction from everyday workflows, and where simple rules work better.
4 min read
IntegrationAPI Integration Strategies for Growing Companies
How to move from fragile point-to-point scripts to an integration approach that scales with your business.
4 min read
SecurityBuilding Secure and Maintainable Web Applications
Security and maintainability go hand in hand. Here are the engineering habits that keep web applications safe and easy to change.
4 min read
Blog
Practical articles on AI, software architecture, automation, integration and security.
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Step-by-step guides for planning, choosing and governing AI initiatives.
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Illustrative scenarios showing how our approach applies to common business challenges.
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Quick-start guides
Short, practical guides you can use with your team today.
- AI readiness checklistUse this checklist to assess whether a proposed AI initiative has the foundations it needs. Gaps are not reasons to stop; they show what to address first.
- RAG or fine-tuning? Choosing how to customise a language modelRetrieval-augmented generation and fine-tuning solve different problems. Many teams reach for fine-tuning when retrieval would be simpler, cheaper and easier to keep current.
- Evaluating an AI feature before launchEvaluation turns opinions about AI quality into evidence. A simple, repeatable process is far better than ad-hoc testing.
- Writing an AI usage policy for your teamA short, clear policy helps employees use AI tools productively while protecting the organisation. It should enable, not just restrict.
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