See every AI asset.
Asset discovery, verification, and registration.
Enterprise AI governance
Know your AI.Govern its impact.
For enterprise risk, compliance, and AI teams. Identify AI assets, assess risks, and connect every governance decision to its evidence.
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Evidence-based. Governable. Traceable.
- Describe your AI
- Find a workflow
- Connect evidence
Intelligent Q&A
Describe your AI application.
Find a starting point for governance.
Intent routingMulti-turn contextEvidence-backed answers
Start an AI compliance assessment for a customer service assistant deployed in the EU.
Example 01 / 04
Illustrative content. Sign in to work with your own AI application.
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 ARIMP product suite
Find your starting point.
Six connected products. Find the right tools for your AI governance needs.
Understand the impact.
Risk screening and scenario assessments.
Know what applies.
AI laws, standards, and enforcement references.
Show the evidence.
Evidence review, control testing, and findings.
Govern every stage.
Stage controls, evidence, and approval gates.
Bring security into focus.
The AI security technology tool library.
AI lifecycle governance
Govern every stage.
From initial requirements to retirement, guide each AI asset through seven stages with supporting evidence and approval gates.
- Requirements & planning
- Data acquisition & processing
- Model design & development
- Pre-release impact assessment
- Deployment & release
- Operations & monitoring
- Retirement & decommissioning
Each stage advances after its approval gate is passed.
Illustrative example
Generative AI customer service
From asset registration to audit review
- Registered
AI assets
Model, knowledge base, and owner
- Mapped
Requirements
Transparency and data protection
- Assessed
Risk assessment
Personal data exposure identified
- In progress
Remediation
User notices and output safeguards
- Review due
Audit evidence
Test reports and review records
Accountable teamRisk & Compliance
Critical decisions stay with people.
Human–AI governanceAutomate 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.
- 01
Project setup
Establish the business objective, use case, accountable team, and governance boundary.
- 02
Evidence intake
Bring model, data, vendor, and existing control information into one workspace.
- 03
AI preliminary review
Surface potential obligations, gaps, and information that still needs to be completed.
- 04
Information completion
Route targeted questions to accountable owners and complete the factual evidence.
- 05
Human review
Compliance, risk, and business owners confirm decisions, exceptions, and remediation.
- 06
Results & reporting
Retain conclusions, tasks, versions, and audit records for continuous governance.
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
Unified governance contextExecutable governance actions
1Assess2Review3Remediate4Report5Audit
Workspaces & collaboration
Create governance spaces by organization, business, or project and align cross-team context.
Roles & permissions
Control viewing, editing, review, and administration through role-based access.
Identity & session security
Configure multi-factor authentication, session management, and enterprise identity access.
Knowledge & model configuration
Configure knowledge sources, model capabilities, and usage boundaries for governance.
Content & workflow governance
Manage templates, taxonomies, workflows, and versions consistently.
Audit records
Retain critical actions, approvals, state changes, and accountable owners.
Build AI innovation on trusted governance
Put AI governance into practice.
Start with your AI application. Connect the questions, assessments, and evidence.