Services
AI
Refractis helps organisations get the foundations for AI programmes in place: data quality, governance, and scalable infrastructure.
Overview
AI at Refractis
Machine learning has been part of many organisations for years. Now there is a rush to adopt generative AI, while agentic AI pushes further on how much autonomy, and trust, we give machines. Some early adopters will pull ahead. Others will face expensive failures or reputational damage when the machines go wrong.
AI only works on solid foundations: data you can trust, clear rules on how it is used, and infrastructure that can grow with demand.
Questions to answer before you scale
- Can you explain, and justify, the decisions your AI makes?
- Do you understand the data feeding your models, and can you keep hallucinations out of the answers?
- Where does a person need to be in the loop, and what does that do to the savings you expected?
- Will your infrastructure cope as processing demand grows?
We help you find out where you stand on each, then put the missing pieces in place. We focus on the groundwork that makes AI useful, and on keeping people in charge of the decisions that matter.
Our consultants write regularly about AI in practice. You'll find their recent articles further down this page.
What we do
How we help with AI
AI readiness
Where you stand on data, governance and infrastructure, and the low-risk places to start.
Data foundations
Data you can trust, with quality, ownership and access sorted before AI relies on it.
Governance and oversight
Clear rules for how AI is used, decisions you can explain, and people reviewing the ones that matter.
Platforms and scale
The infrastructure, security and capacity to run AI beyond the pilot.
Our work
AI in practice
Our thinking