Plug and play AI governance software that connects to your application

Connect rules to live AI decisions and capture evidence as they happen.

Manage AI governance without building it from scratch

AI teams need rules, controls, reviews and evidence around their applications, but building all of that inside the product takes time away from the product itself.

ARCS gives your team a dedicated governance layer for AI applications, so product and engineering teams can keep building while governance rules, outcomes and evidence are managed in one place.

Policy, risk, compliance and audit teams get clearer visibility into what is actually running, without every change becoming custom product work.

Start with ready made controls and adapt them to your product

Most teams already have some guardrails, checks or approval steps around their AI systems.

As those controls grow, they have to be maintained and updated, while policy experts and other stakeholders need a clearer view of what has actually been implemented.

ARCS gives teams ready made governance rules and controls for areas such as the EU AI Act, NIST AI RMF, GDPR, sector requirements and internal policy.

You can adapt them to your own policies, workflows, risk model and review points.

Then connect those controls to live AI decisions through a simple call from your application.

Make governance readable

Use rules that product, engineering, policy, risk and audit teams can understand and review together.

Update controls faster

Update governance rules, review points and evidence requirements as policies and risks change, without rebuilding the AI application.

Capture decision evidence

Capture what happened, which rule applied, why it applied, what outcome followed and whether review was needed.

Simple to connect. Flexible to govern.

ARCS is designed to fit the way your AI product and governance model already work.

Your backend calls ARCS over HTTP when a governance check is needed. The call sends the decision context and the fields that describe the moment, such as boundary, stage, workflow, risk area, system, jurisdiction or policy area.

Those fields can shape rule application, evidence, filters, charts, review queues and audit views, so the product reflects your own workflows, risks and controls instead of forcing one fixed model.

As your governance model changes, Control Hub can change with it.

For stricter data and security requirements, governance can run in your own environment, so sensitive decision data does not have to leave your infrastructure.

See how ARCS governs live AI decisions

Explore how ARCS connects to your AI application, applies governance rules and captures evidence as decisions happen.

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