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Production AI Systems & Automation Engineering

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71-75 Shelton StreetCovent Garden, LondonWC2H 9JQ, UKCompany number 12780329

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Production AI systems and platform engineering

Technical Intake

AI Assessment

Tell us where your AI system stands today: architecture, reliability gaps, delivery pressure, and governance risk. We’ll use that to recommend the clearest next step.

Focus

Architecture clarity

Response

Within 24 hours

Outcome

Practical next step

What to Expect

  • Share your current AI systems, bottlenecks, and goals.
  • We assess delivery risk, architecture fit, and likely failure points.
  • You get a grounded recommendation on scope, priorities, and fit.

Project Intake

This is designed for teams evaluating production AI work, architecture upgrades, observability gaps, RAG reliability, or agent workflow execution.

Company Information

Optional

Current state

What tools, platforms, or custom systems are in place?

What challenges or blockers are preventing you from moving forward?

Timeline & Investment

Optional - helps us scope engagement

Continue Reading

Useful Reading Before You Book

A short set of architecture notes to help you frame the problem before the assessment conversation.

7 Apr 20262 min read

AI Evaluation in Production in 2026

Why serious AI teams now treat evaluation as a delivery system, not a benchmark spreadsheet.

AI evaluationproduction AI
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7 Apr 20262 min read

RAG Architecture That Survives Scale

Retrieval systems break long before models do if freshness, permissions, and ranking strategy are not engineered from the start.

RAGknowledge systems
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7 Apr 20261 min read

Why Synchronous AI Backends Fail at Scale

The fastest way to create instability in production AI is to keep heavy model work directly on the user request path.

backend engineeringAI infrastructure
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