Built from experience in production decision systems
ARCS was created from experience with large scale systems, high volume payment APIs and rule driven decision logic used in real world financial flows.
Why ARCS exists
AI products are moving into real workflows where decisions can affect customers, money, operations, risk and compliance.
Teams need to know which rules apply, where checks should run, when Human Review is needed and what outcome should follow. They also need reliable evidence of what happened and why.
ARCS exists to give teams both capabilities. ARCS Controls can apply human readable governance rules to live AI decisions, while ARCS Evidence can capture, protect and verify what happened across existing systems and workflows.
Used together, they connect the rules an organisation defines to the decisions, outcomes and Human Review that follow.
Why I am building ARCS
ARCS comes from a simple belief: AI governance should work inside real production systems, not only around them. When AI decisions carry real consequences, teams need more than policy documents and approval processes. They need governance that can be understood and applied in practice and reliable evidence showing what happened, why it happened and who was involved.
My work over almost two decades has been close to one question: how do complex systems stay understandable, controlled and maintainable? That started with research into separation of concerns in software development, and continued through production roles across organisations including IBM, Intel, Mastercard and Boeing.
At Mastercard, I worked on high volume payment APIs, fraud prevention and rule driven decision logic used in real financial flows. I am also the sole inventor on four granted fintech patents, including systems that use domain specific rule languages to author, control and audit decision logic.
That background shaped how I think about ARCS: rules should be understandable, systems should be traceable and important decisions should create trustworthy evidence.
AI products are moving into workflows where decisions can affect customers, money, operations, risk and compliance.
Teams need practical ways to apply governance to those decisions, but they also need reliable evidence of what happened across systems they already have. Governance logic is often buried in application code, while decisions, reviews and supporting evidence are spread across different systems.
Without a dedicated capability for this, teams have to design, build and maintain controls, review processes and evidence infrastructure themselves.
ARCS is being built to bring production decision system thinking to AI governance and evidence.
ARCS Controls gives teams human readable, English like rules that engineering, product, policy, risk, compliance, auditors and clients can see and understand, then connects those rules to live AI decisions and Human Review.
ARCS Evidence can work with existing systems and controls to create structured, protected and independently verifiable evidence trails. Used together, Controls and Evidence provide a richer record connecting the governance that was defined to what actually happened in production.
See how ARCS could work with your application
Send us a link to your application, product or some information about how it works. We will create a free personalised demo video showing how ARCS Controls, Evidence or both could fit into your workflow.
