In Depth
AI regulation is arriving as a fast-moving patchwork. The EU AI Act, the Colorado AI Act and the wave of U.S. state laws behind it, sector rules like HIPAA, and existing consumer-protection authority all create obligations, and they change often. For a small AI vendor, tracking which of these actually apply, and what each requires, by hand is a losing battle.
Reggie is Ollive's answer. It maps an agent's characteristics, its domain, the data it touches, where it operates, how autonomous it is, to the specific regulations that apply, and it keeps that mapping current as laws take effect and evolve. Instead of reading every statute, a vendor gets a focused view of the obligations relevant to its agent and what they demand.
That intelligence supports the rest of Ollive's picture. It informs the governance an agent needs, feeds the underwriting view of regulatory exposure, and pairs with Stria. Reggie is the rulebook. Stria is the record of how disputes over those rules actually resolve.
What It Looks Like
A vendor ships a hiring-screening agent used by customers in several U.S. states and the EU. Rather than research each jurisdiction from scratch, it gets a mapped view: the Colorado AI Act's duties for high-risk systems, the EU AI Act's obligations for its risk tier, and the anti-discrimination rules that bear on automated hiring. When a new state law takes effect, the map updates instead of the vendor finding out from a regulator.
Why It Matters For AI Vendors
Regulatory uncertainty is expensive on its own. It slows launches, complicates enterprise deals, and leaves vendors guessing about what they owe. A clear map of the obligations that actually apply to an agent lets a vendor build the right controls once instead of scrambling per deal, and it is the sort of readiness a buyer's security and compliance team wants to see. It also shapes coverage, since knowing an agent's regulatory exposure is part of underwriting it accurately.