The Last-Mile AI Framework

Last-Mile AI is a delivery framework for building practical AI systems that work where infrastructure fails: low connectivity, many languages, sensitive data, and high stakes. It is the distilled result of 20+ years implementing AI and digital systems in humanitarian and development operations, where a model that works in a demo and a system that works in the field are two very different things.

Why the Last Mile Matters

Most AI failures in real operations are not model failures. They are last-mile failures: the system assumed connectivity that was not there, a language it did not support, a governance step that was skipped, or a user context it never accounted for. The framework treats these constraints as first-class design inputs rather than afterthoughts.

From Capability to Trusted Delivery

The framework moves a use case from raw capability to trusted delivery through clear ownership, data protection by design, human oversight at the points that matter, and monitoring that continues after launch. For applied examples, see the agentic AI projects and the broader AI in the humanitarian sector work.