Systems engineering that moves AI:
from PoC to production

AI keeps getting more powerful. Accountability stays human.

Getting AI to work in a demo is the easy part. The hard part is everything after: making it trustworthy, keeping the final levers in human hands, and surviving contact with production. This is the systems-engineering work where we bring more than three decades of experience in the trenches. So your systems and your people can work wonders, together.

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How we help

Three ways we help teams get AI into production without losing their grip or their people:

  • Consult — Select, short-term, scoped, senior-led engagements on the decisions that actually matter: AI-readiness, architecture review, moving a stalled proof-of-concept to production, or embed-and-handoff. We dive deep, ship something real, and leave your team able to carry it.
  • Coach — Fortnightly, small-group sessions for architects and leads. Bring a live decision; we work it through together; you leave with solution design — not a slide deck.
  • Workshop — A practice-based, hands-on format for engineering teams: where AI fits the lifecycle, where it doesn’t, and the guardrails to adopt it without eroding quality, security, or your people. Half-day to multi-week, on your own codebase.

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Proven in production

Not theory — what we’ve actually built and run:

  • Production AI systems — agentic workflows, natural-language-to-SQL, document-review agents on Bedrock and Azure OpenAI.
  • Cloud-native architecture & migration — AWS and Azure, infrastructure-as-code.
  • Security & governance — IAM, KMS, compliance built in, not bolted on. Policy-as-code.
  • Data platform engineering — pipelines and platforms on AWS and Snowflake.

Recent work includes production systems for Fortune 500 and FTSE-100 companies.

What we’ve helped ship →

Our approach

Tools change every year; the hard calls don’t — what to delegate where, what to verify, what gets gated vs what is automated. We bring a method to those calls, drawn from three decades of getting them right.

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Not sure where AI should actually go to work for you?

Bring us the messy version. We'll help you see what to hand it, what to keep human, and where to start.

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