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.

ENTERPRISE CASE STUDIES

Real Transformations

Actual projects with specific metrics and business impact. Client details anonymized for confidentiality.

7B+

Events/Year

£5.4M+

Cost Savings

99.99%

Uptime

All case studies anonymized for client confidentiality

Major UK Telecoms Provider (Anonymized)•Telecommunications•18 months

Telecommunications Events Platform

Lead Systems Architect & Implementation Lead

Scale:7 billion events annually

Challenge

Legacy system struggling with exponential data growth and enterprise ERP integration requirements

Solution

Complete microservices architecture redesign with fault-tolerant event processing

Impact

1000x improvement in event processing speed

performance

99.99% uptime achieved

reliability

£2.5M annual operational cost reduction

cost

Handles 1,000s of events per second at peak

scale

Technologies & Methodologies

MicroservicesEvent StreamingEnterprise ERP IntegrationFault ToleranceHigh Availability

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Enterprise Software Company (Anonymized)•Technology•8 months

Real-Time Analytics Transformation

Performance Engineering Lead

Scale:Multi-tenant SaaS platform

Challenge

Analytics queries taking 45+ seconds, customer churn increasing due to performance

Solution

Event-driven architecture with optimized data pipelines and caching strategies

Impact

Sub-second query response times

performance

23% reduction in customer churn

business

£800K additional ARR retained

revenue

60% reduction in infrastructure costs

efficiency

Technologies & Methodologies

Event StreamingData Pipeline OptimizationCaching StrategiesPerformance Tuning

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Financial Services Provider (Anonymized)•Financial Services•3 days initial recovery, 3 months full rebuild

Critical System Recovery

Crisis Response Technical Lead

Scale:Multi-million transaction platform

Challenge

Complete system failure during peak trading hours, £50K/minute revenue loss

Solution

72-hour emergency architecture rebuild with zero-downtime deployment strategy

Impact

Full system restoration in 72 hours

recovery

Zero critical failures since implementation

prevention

£2.1M in prevented downtime costs

savings

Built-in disaster recovery protocols

resilience

Technologies & Methodologies

Disaster RecoveryZero-Downtime DeploymentSystem ResilienceEmergency Response

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ENTERPRISE CONSULTING

Ready for transformation?

These results aren't theoretical. This is what happens when you work with someone who's actually built and scaled enterprise systems handling billions of events.

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