The part most companies skip, and the part that decides whether AI gets trusted.

Most AI problems aren’t about the technology failing. It’s about AI getting deployed without anyone knowing what data it touches, who’s accountable for its output, or whether a person can review and override it. That’s what governance solves, and we build it into every engagement from day one, not as a compliance afterthought.

We help organizations put real oversight around how AI is used: what data goes where, who’s responsible for the outcomes, and how your team stays in control as adoption grows. This applies whether you’re rolling out your first AI tool or trying to get a handle on tools your team had already adopted on their own.