Responsible AI Adoption in the Public Sector

Governance and ethics safeguards shouldn't be an afterthought bolted onto an AI pilot after it's already running — they need to shape the pilot's scope from the start.

For public-sector adoption specifically, that means clear answers before deployment: who is accountable when a model gets something wrong, what data the system was trained or fine-tuned on, and what recourse a citizen has if an automated decision affects them.

We work with institutions to build a practical governance framework sized to their capacity — not a theoretical ethics charter, but a set of checkpoints that a small team can actually maintain.