Research

Building the Foundations for Trusted AI Agency

Our research studies and develops the formal, technical and organisational foundations required to delegate consequential work to AI without surrendering control or accountability.

Areas of work
// 01

Agent governance and control

Permitting exactly the next actions that keep an acceptable completion reachable, under partial observation and authority that changes with runtime state.

// 02

Proof-carrying authority

Certificates that a governing decision was both authorised and exactly effective, and governance memory in which an earlier certified decision survives everything recorded after it.

// 03

Design and reliability

Separating what an agentic system may do from what it does. Potential, realization, minimal permission, and selection under cost, latency, exposure and risk.

// 04

Organisational adoption

Adoption as a state rather than a score: sustained delegation of consequential work, the evidence loop that holds it in place, and the thresholds that govern entry and exit.