AIGR
AIGR: A control-and-evidence registry for enterprise AI assurance, scoring and reassessment. Ranked #51 of 56 in AI Governance Software by our editors (3.9/10); pricing: Pricing on request; best for enterprise evidence and control governance.
At a glance
- Editor score3.9 / 10
- PricingPricing on request
- Best forEnterprise evidence and control governance
- Free planNo
- AI system inventoryYes
- Facts checked23 Sep 2026
Where it wins
- Tracks owners, evidence states, findings, exceptions and approvals
- Monitors expiry, incidents and material changes for reassessment
- Portfolio views and critical-gate scoring support assurance reviews
Where it doesn't
- Cloud deployment may not fit teams requiring other hosting models
- Uses a contact-sales pricing model
- Enterprise-focused design may exceed smaller organizations' needs
Our verdict on AIGR
AIGR is an AI governance platform and assessment framework for organizations deploying AI in regulated or high-accountability environments. It is aimed at enterprise decision-makers across risk, legal, compliance, security, technology and procurement. The platform maintains an inventory of AI systems with ownership, intended use, lifecycle stage and risk context, then connects governance requirements to reviewable controls. Its web-based, cloud deployment supports teams that need a shared view of systems and assurance work.
The standout capability is evidence-centered control governance. Evidence artifacts can be linked to owners, dates, versions and reviewer states such as validated, in review, not applicable and blocker. AIGR also records findings, exceptions, critical gates and approval history, giving reviewers a structured trail for decisions. Monitoring for evidence expiry, incidents and material changes creates reassessment triggers, while portfolio views organize work by owner, risk class, status and sector framework. Governance scoring and rating opinions are produced through critical-gate analysis for a defined system and scope.
AIGR uses a contact-sales pricing model and positions its services for enterprise use, so organizations should expect a procurement-led evaluation rather than a self-serve purchase path. Email is the listed support channel. The product is a strong fit for teams that need documented evidence, control ownership and repeatable review workflows around AI systems. Smaller organizations, teams seeking non-cloud deployment or buyers wanting a simpler inventory tool may prefer a more narrowly scoped alternative. Those evaluating AIGR should assess how its assessment framework and written platform terms align with their governance process before adoption.
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AIGR pricing
AIGR fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| AI system inventory | Yes |
| Risk assessments | Yes |
| Policy and controls | Yes |
| Compliance frameworks | Not verified |
| Deployment options | Not verified |
| Listed integrations | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Support | |
| Built for | Enterprise (editorial estimate) |
| Pricing | Pricing on request |
| Website | aigrglobal.com |
| Facts checked | 23 Sep 2026 |
Alternatives to AIGR
- OneTrust AI GovernanceEnterprise AI governance spanning inventory, risk, controls, monitoring, and audit evidence.9.4
- ServiceNow AI Control TowerA broad, ServiceNow-centered control tower for enterprise AI inventory, risk, compliance, and value.9.3
- SAS AI Governance ManagerAn enterprise governance suite for teams managing AI across its lifecycle.9.2
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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