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An app AI retrofit typically costs between 70,000 THB to 210,000 THB (10 to 30 developer man-days at a flat rate of 7,000 THB/day) and saves 80% of development time compared to a complete rewrite.
The App AI Retrofit Cost Guide: Stop Rebuilding and Start Scoping
Stop rebuilding your applications from scratch just to add AI capabilities. Learn how to retrofit your existing codebase with cost-effective, high-impact machine learning features.
iReadCustomer Team
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What is an app AI retrofit?
An app AI retrofit is the engineering process of integrating artificial intelligence capabilities directly into an existing, live application. It leverages your current databases, security models, and user interfaces instead of discarding them for a costly and risky complete software rewrite.
How much does it cost to retrofit AI into an app?
A typical initial AI retrofit feature takes between 10 to 30 developer man-days. At a flat market rate of 7,000 THB per senior developer man-day, the cost ranges between 70,000 THB and 210,000 THB, depending on the complexity of the chosen integration pattern.
Why is retrofitting AI better than rebuilding the entire application?
Retrofitting is superior because up to 80% of an application's codebase consists of basic functions like user authorization, UI templates, and data schemas. Reusing these mature structures dramatically cuts your development budget and timeline while protecting your product from new software regression bugs.
How do you control and manage ongoing LLM API expenses?
You can control ongoing API operational expenses by setting strict daily transaction limits for individual user accounts, deploying lightweight and faster open-source models for basic tasks, implementing semantic database caches for identical queries, and trimming redundant text from API calls.
What are the first steps in auditing an app for AI readiness?
The first steps include auditing your corporate documents to ensure they are saved in structured, machine-readable formats rather than flattened image files, ensuring your database schemas are securely accessible via modern cloud systems, and preparing your frontend UI to handle asynchronous loading times.