Circial : Responsible AI & Digital Trust Practice

Effective AI governance has to be more than legal paperwork and isolated code changes. True commitment has to be built upon a clear understanding of how your AI-enabled software systems have been designed and developed, and how they are used in real environments: AI accountability is a fundamentally socio-technical challenge.

To help teams navigate this, we are building Boundsmap - a tool powered by the Roles & Boundaries (R&B) framework from founder Iain Barclay’s doctoral research. The core idea is simple: AI risks and obligations become crystal clear at the exact moments responsibility changes hands between different people and systems. Boundsmap helps teams to clearly identify the specific components and people involved in developing and running their systems, and those affected by the outcomes - revealing the handovers where obligations must be met.

To illustrate, think of a smart delivery platform: data scientists train a traffic prediction model, software engineers wire it into an app, and a logistics manager hits "approve" on the daily routes. By mapping these handovers — from the raw data source right down to the driver on the road — the R&B framework helps you pinpoint exactly where human and algorithmic errors might intersect, who owns the risk, and how to protect your organisation.

Alongside the development of Boundsmap, Iain and his associates are available for freelance and fractional technical leadership work. The team brings this same practical, engineering-led approach directly to organisations looking to identify AI risk and maintain the obligations surrounding their AI Systems through practical, verifiable frameworks for long-term AI safety.