Policy defined by humans. Enforced by the system.
ARCS makes policy executable at the point where AI decisions happen, so live systems stay aligned with what has been approved.
What ARCS is solving
Organisations are deploying AI into systems that make real decisions. Those decisions carry legal, financial and operational consequences. But policy still often lives outside the system in documents, approvals and review processes. The people accountable for risk rarely have direct control over how those decisions are executed. ARCS exists to close that gap by making policy executable at the point where decisions happen.
Why ARCS had to exist
ARCS was built for environments where policy cannot stop at documents and approvals. When AI decisions carry real consequences, policy has to be enforced where those decisions happen.
I have spent years building systems where decisions carry real consequences. My background includes research in aspect oriented programming and over 16 years working on complex systems across organisations such as IBM, Intel, MasterCard and Boeing.
At MasterCard, I worked directly on defining rules and creating the vocabulary used to express them.
As AI systems became part of those environments, it became clear that the old approach does not hold. Policies assume deterministic systems. AI does not behave that way. The way policy needs to be defined, applied and enforced changes fundamentally in AI systems. Policies still exist, but they are not enforced where decisions are actually made.
ARCS was built to close that gap.
See how ARCS applies policy in live systems
See how ARCS would fit into your AI stack and enforce policy where AI decisions happen.
