How Anthony Nolan is applying AI to donor management
Anthony Nolan, the blood cancer charity, worked with Inference Group to develop AI strategy and data foundations for donor management automation.
What problem was Anthony Nolan solving?
Anthony Nolan matches stem cell donors to patients with blood cancer. Donor management is data-heavy, deadline-driven work, and every hour spent on administration is an hour not spent on the mission. When the system supports stem cell donor matching, ‘move fast and break things’ is not an available philosophy.
The charity wanted to know where automation could genuinely help, and what its data could support, before committing money that could otherwise fund patient care.
What did Inference Group deliver?
An Assess engagement focused on donor management: automation opportunities scored for ROI, risk, and delivery cost, a data foundations assessment, and a sequenced roadmap from strategy to shipped capability.
Where did it land?
Anthony Nolan has the AI strategy and data foundations for donor management automation in place, with a clear, costed path to production, built to the standard a mission like theirs demands.
“Mission-critical is literal here. The bar for getting it right is the highest we work to.”
Because the economics matter more, not less. Every pound spent on AI must pay back in mission delivered, which is exactly what Assess is built to establish before anything is built.
The cheapest AI decision is the one you don't have to make twice.
A 30-minute scoping call with Dr. Richard Davis.