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Cloud Insights

Practical perspectives on cloud — written for business leaders navigating AI adoption.

Cloud · February 2026 · 5 min read

Why cloud-native architecture is the prerequisite for every AI project

Before you build AI, you need infrastructure that can support it. What cloud-native readiness means in practice for growing SMBs — and the 4 things you need to fix before starting.

This insight is part of INA Webtech's ongoing thought leadership programme. Our team of AI practitioners and digital strategists publish practical, implementation-focused content based on real project experience — not theory.

Key takeaways

AI adoption requires both technical and organisational change — technology is only half the equation
Start with the highest-volume, most predictable processes — not the most complex or visible ones
Define your success metrics before you start building — not after deployment
Production-grade AI requires ongoing monitoring and iteration — it is not a set-and-forget project
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