Insights on AI & Engineering

Practical guides, technical deep-dives, and real-world perspectives from our team.

AI Application Development15 Jan 2026Featured

How to Choose Between RAG and Fine-Tuning

Most companies don't need fine-tuning — and paying for it burns money and time. This guide provides a practical decision framework based on real enterprise use cases.

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Intelligent AutomationJan 2026

5 Automation Failures — And How to Prevent Them

80% of automation projects underdeliver. These are the five root causes — nearly all of which are avoidable with proper planning and architecture.

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Digital EngineeringFeb 2026

Building a SaaS Product with AI Built In

Most SaaS companies bolt AI on as an afterthought, creating technical debt and a poor user experience. Here's how to design AI-native products from the start.

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Cloud InfrastructureFeb 2026

AWS Cost Optimisation for AI Workloads

AI workloads on AWS frequently cost more than expected. This guide covers the specific patterns that drive cost overruns — and how to fix them.

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AI Application DevelopmentFeb 2026

Why Most AI Projects Fail Before Production

85% of AI projects fail to make it to production. The causes are well-documented and almost entirely preventable with the right approach from the start.

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Industry InsightsFeb 2026

AI in Healthcare: Use Cases That Work Today

Healthcare organisations see AI's potential but struggle to identify where to start. This guide covers the highest-impact use cases actually deployed in production environments.

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AI Application DevelopmentMar 2026

Document Intelligence: Beyond Simple OCR

OCR extracts text. Document Intelligence understands it. This distinction matters enormously for automation projects involving invoices, contracts, and forms.

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Cloud InfrastructureMar 2026

Infrastructure as Code: Why It Matters for AI Teams

AI teams that skip infrastructure as code spend significantly more time on infrastructure management and encounter more production incidents.

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Intelligent AutomationMar 2026

Automation vs AI: A Practical Decision Framework

Companies frequently choose the wrong technology for automation projects — often over-investing in AI where simple automation would work, or under-investing in AI where judgment is required.

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AI Application DevelopmentApr 2026

How to Choose an AI Development Company in India: The 2026 Guide

The wrong AI development partner costs you 6–12 months and ₹10–50 lakhs. This guide gives you 8 concrete criteria to evaluate any AI company in India before signing a contract.

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AI Application DevelopmentApr 2026

Why AI Projects Fail Before Production (And How to Fix It)

Over 80% of enterprise AI projects never reach production. AVIX Labs engineers explain the 6 root causes and the exact fixes that get AI systems live and reliable.

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Digital EngineeringApr 2026

The SaaS Technical Debt Crisis — How to Fix It

Most SaaS companies eventually reach a point where their codebase slows feature delivery to a crawl. Here's how to modernise without shutting everything down.

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