AI in a public-sector context
Generative AI has moved faster than the assurance frameworks designed to govern it. Our role is to close that gap — delivering AI capability that is genuinely useful, while passing the same scrutiny as any other system your organisation operates.
That means grounding model outputs in your evidence base, citing sources, logging decisions, and giving your people the controls to intervene when it matters.
Where we draw the line
We won’t deploy a model into a high-stakes decision without an evaluation harness, a fallback path, and a named human accountable for the outcome. Saying no to the wrong use case is part of the work.