Enterprise AI risk management and compliance governance

Make every AI decision evidence-based, governable, and traceable.

Identify regulatory requirements, register AI assets, assess compliance and scenario risks, and continuously manage remediation tasks and governance evidence in one connected workflow.

From regulatory intelligence to audit evidence, govern the full AI lifecycle

01

Human in controlPeople confirm critical decisions

02

Evidence traceabilityRequirements connect to results

03

Lifecycle governanceProjects and assets stay governed

04

Workspace isolationMulti-workspace collaboration

The real governance challenge

AI risk does not lack information. It lacks an executable chain of governance.

Rules sit across jurisdictions, assets across teams, and evidence across documents and conversations. ARIMP turns those signals into clear, continuous, accountable work.

01

Regulatory change is hard to operationalize

Turn laws, standards, and enforcement cases into actionable requirements—not another information feed.

Regulation → Requirement
02

AI assets lack a shared view

Establish clear ownership and risk context across projects, models, data, and vendors.

Asset → Ownership
03

Assessment decisions are hard to prove

Connect questions, answers, evidence, review comments, and remediation into one record.

Assessment → Evidence

One connected governance loop

From finding risk to proving it is governed.

Not more disconnected dashboards. Every step naturally moves the next one forward.

01

Identify

Organize applicable laws, standards, cases, and internal governance requirements.

Regulatory & risk intelligence
02

Assess

Run structured assessments across AI projects, assets, and use cases.

Compliance & scenario assessments
03

Govern

Turn findings into accountable owners, tasks, deadlines, and reviews.

Remediation & lifecycle governance
04

Evidence

Retain decision rationale, version changes, and activity records for audit.

Reporting & audit traceability

Platform capabilities

An operating system for complex AI governance.

Each module solves a distinct problem while sharing the same asset, risk, evidence, and accountability context.

ARIMP / 01

Regulatory & risk intelligence

Organize regulations, updates, standards, and enforcement cases, then map external change to internal governance requirements.

Laws & standardsEnforcement casesApplicability
Requirement mappingRule → Control
AARIMP
Illustrative workspaceUpdated just now
JL
REGULATORY INTELLIGENCE

Applicable requirement mapping

01ChinaMapped
02European UnionReview
03United StatesMapped
04SingaporeMapped
01Generative AI service rulesApplicableMapped
02EU AI Act · high-risk dutiesAssessIn review
03Internal model risk policyApplicableMapped

Human–AI governance

Automate the organization of information. Keep judgment human.

ARIMP helps teams structure requirements, materials, and context. Critical risk decisions, exception acceptance, and approvals remain with accountable people.

Applicable rulesAsset factsScenario evidence
REA
Human decisionHHuman confirmation at critical gates
Risk decisionRemediation tasksAudit record
05 / 06

Human review

Compliance, risk, and business owners confirm decisions, exceptions, and remediation.

Enterprise ready

Designed for enterprise governance.

Keep boundaries, accountability, and records clear across teams, projects, and roles.

ARIMP Governance FabricSECURE · CONTROLLED · TRACEABLE
External & internal signals
1Regulations2Standards3Policies4Assets5Evidence
A
ARIMPUnified governance context
Executable governance actions
1Assess2Review3Remediate4Report5Audit
01

Workspaces & collaboration

Create governance spaces by organization, business, or project and align cross-team context.

02

Roles & permissions

Control viewing, editing, review, and administration through role-based access.

03

Identity & session security

Configure multi-factor authentication, session management, and enterprise identity access.

04

Knowledge & model configuration

Configure knowledge sources, model capabilities, and usage boundaries for governance.

05

Content & workflow governance

Manage templates, taxonomies, workflows, and versions consistently.

06

Audit records

Retain critical actions, approvals, state changes, and accountable owners.

One shared source of governance truth

One platform for every participant in AI governance.

A
Requirements & evidence

Compliance & Legal

Identify applicable requirements, organize assessments, and retain regulatory rationale.

B
Risk & assurance

Risk & Internal Audit

Build a consistent risk view and examine control effectiveness and audit readiness.

C
Delivery & accountability

AI Product Owners

Clarify ownership, governance gates, and actions required before release.

D
Control & configuration

Platform Administrators

Manage workspaces, roles, knowledge configuration, and workflow standards.

Build AI innovation on trusted governance

Start building AI governance that is executable—and provable.

Open ARIMP to connect regulatory requirements, AI assets, risk assessments, and governance evidence.

Open ARIMP platform