Why do AI initiatives stall between demo and production?
Because the demo never had to survive real data, real volumes, real failure modes or real users. We build AI that does — agentic systems designed for production from the first line of the design document, fed by data engineered as their lifeblood.
The questions we ask before anything is built
A model is a means. Before selecting one, we establish what it is for — and what it will cost when it is wrong.
- What decision or task does this AI take on — and what is that worth per month?
- What does 'good' look like, and how will it be measured in production, not in a notebook?
- What data feeds it — and can that data be trusted, traced and refreshed?
- What happens when the model is wrong: who reviews, who overrides, who is accountable?
- What must be true in six months for this to have been worth building?
Capabilities, stated as outcomes
Agentic workflow design
Multi-step agent systems on Azure AI Foundry and agent frameworks — orchestration, tool use and state designed for auditability, not just capability.
LLM document intelligence
Extraction and interpretation of unstructured documents — invoices, contracts, operational records — into governed, structured data with confidence scoring.
Retrieval & vector search
Grounded AI over your own knowledge: retrieval pipelines, vector search and context engineering that keep answers anchored in your data.
Evaluation, guardrails & HITL
Evaluation harnesses, guardrails and human-in-the-loop review designed in from the start — because production AI is judged on its worst output, not its best.
Three shapes of engagement
AI work fits different moments: some organisations need direction, some need builders, some need an honest verdict on what they already have.
Advisory
Senior architecture counsel by the day — reviews, decision support, and a second pair of eyes on the choices that are hard to reverse.
Delivery
A small senior squad that designs and builds — architecture, engineering and knowledge transfer as one engagement, with confirmation gates at every phase.
Review & rescue
An independent, evidence-based assessment of an existing platform or stalled initiative, with a costed path forward.