Where teams get stuck.
AI initiatives often add governance after the prototype works. By then, risk teams see an uncontrolled system, users lose confidence, and production approval slows down.
ArqAI Platform
Governance by Design
Build permissions, approvals, policy checks, human review, audit trails, and exception handling into the workflow before AI takes action.
Overview
What this service is.
Governance by Design builds the control plane into the workflow from day one. Agents know what they can do, when they must ask, and what evidence to keep — so production approval has something concrete to review instead of a black box.
100%Policy-aware actions
0Black-box handoffs
AuditReady by default
What changes with ArqAI.
We make governance part of the product architecture from day one, so agents know what they can do, when they must ask, and what evidence they must keep.
Built for production
We make governance part of the product architecture from day one, so agents know what they can do, when they must ask, and what evidence they must keep.
Capabilities
What the engagement delivers.
Bespoke engineering around your data, systems, and controls — not a generic model wrapper.
Policy & risk modeling
We translate your policies into rules the workflow enforces at runtime.
Approval & escalation design
High-risk steps route through the right human approvals and exception paths.
Role & data-access control
Permissions and data boundaries are explicit and enforced for every action.
Evidence & audit trail
Decisions, context, tool calls, approvals, and overrides are captured by default.
Monitoring & incident response
Evaluation, drift detection, and an incident plan keep it trustworthy in production.
What you get
Concrete deliverables.
Artifacts your business, technology, and risk owners can use — built for production, not the shelf.
- Risk and policy model
- Human approval and escalation design
- Role, permission, and data-access rules
- Audit trail and evidence architecture
- Evaluation, monitoring, and incident response plan
- Responsible AI operating documentation
Use cases
Where it earns its place.
Regulated decisioning
Automate within compliance and keep every step defensible.
Audit readiness
Produce the evidence reviewers and examiners need on demand.
Responsible-AI sign-off
Give legal, risk, and security something concrete to approve.
Integrations
Wired into the stack you already run.
We make governance part of the product architecture from day one, so agents know what they can do, when they must ask, and what evidence they must keep.
IAM / SSOPolicy & GRC toolingSIEM / loggingData catalog & lineageCase management
Fit signals
When this service fits.
- The workflow touches regulated or sensitive decisions
- Legal, compliance, or security must approve production use
- Users need explainability before trusting recommendations
- Automated actions require strong boundaries
More of the platform
Explore the rest of the service line.
Governance should not be a launch blocker.
We will design the control plane with the workflow, not after it, so production approval has something concrete to review.