What is AI integration in software architecture?

AI integration in software architecture involves designing systems that can seamlessly incorporate artificial intelligence components like RAG pipelines, machine learning models, and intelligent automation. This requires modular architecture, clean data flows, and scalable infrastructure.

How long does a software architecture project take?

Software architecture projects typically take 2-12 weeks depending on complexity. Simple systems can be architected in 2-4 weeks, while enterprise-scale AI-integrated systems may require 8-12 weeks for complete design and implementation planning.

Do you offer free consultations?

Yes, we offer free initial consultations to assess your project requirements and determine if our expertise aligns with your needs. Contact us to schedule your consultation with our senior architect André.

What makes Polyxmedia different from other consultants?

Unlike theoretical consultants, we have real production experience with billion-event systems. André has 20+ years of enterprise-scale development experience and has built systems handling billions of transactions. We focus on practical solutions that work.

Can we meet in person?

Yes, we can organize meetings as required in a mutual location in London or Guildford. If you need me to travel I need notice but get in touch and we can accommodate. We tend to find most things can be done over Google Meet saving everyone time and money which is what we're all after. We believe in being lean and whilst no issue with meeting, we encourage remote first approach because it's the most cost effective for serious operators.

How much does a Fractional CTO cost?

Polyxmedia offers Fractional CTO services at £185/hour or monthly packages: Strategic Advisory at £1,850/month (~10 hours), Growth Partner at £7,400/month (~40 hours), or Platform Leadership at £14,800/month (~80 hours). No long-term contracts required.

What is RAG and how does it work?

RAG (Retrieval-Augmented Generation) combines a retrieval system with a language model. Your documents are converted to embeddings stored in a vector database. When users ask questions, relevant documents are retrieved and provided as context to the LLM, enabling accurate answers based on your specific data.

Why do 80% of AI projects fail?

Most AI projects fail due to: unclear business objectives, poor data quality, treating AI as magic rather than engineering, lack of production expertise, and unrealistic expectations. Success requires clear use cases, quality data, and engineers who have shipped AI to production before.

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