AI integration means putting AI capability, things like language models, RAG knowledge systems and agents, inside the software and workflows you already use, so it delivers value in your business rather than sitting in a separate tool.
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AI
DevzAura builds large language models, RAG knowledge systems and AI agents straight into the apps and workflows you already run, delivered by senior engineers who handle EU data residency and GDPR from the first commit and publish pricing in EUR, GBP and USD. With European digital economy on track to grow from roughly $25.1 billion in 2025 toward $171 billion by 2034, AI has moved from edge to baseline, and the teams that wire it in well are the ones that pull ahead.
Overview
AI integration means putting real AI capability inside your existing systems rather than buying another tool that sits off to the side. In practice that is a copilot inside your product, a support agent that answers from your own documentation, a workflow that reads a contract and routes it, or a model gateway that lets every team use AI safely.
The goal is not a clever demo. It is a feature your customers and staff use every day that moves a number you care about, whether that is faster support, lower processing cost or higher conversion.
Five clear stages, from first use case to production handover.
We price in the open and we tell you the timeline before you commit. As a rough industry guide for 2026, a focused AI feature tends to land between $30k and $80k, a polished copilot or assistant between $80k and $250k, and larger workflow platforms higher again, with enterprise builds running into six and seven figures. Where you sit depends on scope, data quality and how many systems you touch.
Privacy is part of the design, not a patch at the end. We build the GDPR and UK GDPR aware systems with EU data residency options, isolation between tenants, and full audit logging of every model interaction. We never train on your data without explicit consent.
This matters most in Sweden, which made up around 55 percent of Europe technology spending in 2025 and where national AI strategy puts sovereignty and compliance first.
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In Practice
Senior engineers, sound architecture, and a transparent process — from first call to production and beyond.
Engineering in practiceSenior engineers build LLMs, RAG and AI agents into the product you already run. Secure, Europe ready, and live in weeks.
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