Responsible AI Application for TPRM

Keep Your Third-Party’s AI Out of Tomorrow’s Headlines

Aravo for Responsible AI helps teams assess vendor AI practices, evaluate controls, and govern third-party AI risk through a structured, defensible due diligence process.

AI Is Already in Your Extended Ecosystem.
Do You Know Where the Risk Is?

Organizations increasingly rely on suppliers, vendors, third parties, and nth parties that use AI in products, services, operations, and decision-making. As AI spreads across the extended enterprise, organizations face new exposure across data privacy, bias and fairness, security, explainability, human oversight, model performance, and regulatory compliance.

For many teams, these risks are still evaluated through informal questionnaires, one-off reviews, or general-purpose due diligence processes.

The result is fragmented oversight, inconsistent evidence, and limited visibility into which third parties may introduce higher AI-related risk.

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Bring Structure to Responsible AI
Due Diligence

Aravo for Responsible AI enables organizations to bring structure, consistency, and governance to third-party AI due diligence within Aravo’s Intelligence First™ Platform. Built around the NIST AI Risk Management Framework, the application helps teams evaluate how vendors develop, deploy, govern, and monitor AI through a practical, repeatable assessment process.

Teams can tailor assessments to the vendor’s AI capabilities and use context, collect relevant evidence, review responses, evaluate inherent risk and control effectiveness, and connect findings to decisions, issues, renewals, dashboards, and reporting. Embedded AI assistance can help Risk Experts work more efficiently by surfacing risk signals, identifying response inconsistencies, and supporting targeted follow-up, all while keeping human judgment at the center.

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Assess AI Risk Today. Strengthen AI Controls for What Comes Next.

Aravo helps teams evaluate both the AI risk a third party may introduce and the strength of the controls in place to manage that risk. The application gives teams a clearer view of vendor AI risk before and after controls are considered.

WHAT IT MEASURES

The baseline AI risk associated with the vendor’s use case, data, deployment context, autonomy, and exposure. 

WHAT IT MEASURES

The strength of the vendor’s governance, oversight, testing, security, policy, and monitoring controls.

These scores help teams compare third parties, prioritize
follow-up, and focus expert review where it matters most.

Responsible AI with Humans in the Loop

A Responsible AI requires more than automation. It requires context, judgment, evidence, and accountability.

Roles

Aravo supports defined roles for Relationship Owners, AI Risk Experts, third-party contacts, and TPRM teams.

Assessments

Risk Experts can scope assessments by topic, review vendor responses, evaluate evidence, make compliance determinations, and drive follow-up actions.

Agents

Aravo AI agents surface relevant risk signals, identify response inconsistencies, and draft targeted follow-up questions for expert review.

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Turn AI Risk Findings Into Governed Action

Aravo connects responsible AI assessment results to the next actions teams need to take. Identified issues can be routed for review, ownership, remediation, and tracking. Renewals help teams reassess vendor AI risk over time as products, models, data, regulations, and business use cases change.

Dashboards and pre-built reports provide visibility into assessment status, inherent risk, control effectiveness, compliance decisions, priority issues, and upcoming renewals across the third-party population.

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Built for a Changing AI and Risk Landscape

AI innovation will continue to evolve, and so will the expectations placed on risk, compliance, procurement, privacy, legal, and business teams. Aravo gives organizations an adaptable foundation for responsible AI due diligence, helping them advance innovation while maintaining governance, accountability, and control across their extended enterprise. With Aravo, responsible AI becomes part of how third-party risk is managed: transparent, governed, and defensible.

Capability How it Helps
NIST AI RMF-Aligned 
Due Diligence Translate recognized AI risk guidance into a practical assessment process for third-party relationships.
Relevant, Scoped Assessments The strength of the vendor’s governance, oversight, testing, security, policy, and monitoring controls.
Governed Workflows and
Issue Management Focus reviews on the vendor’s AI capabilities, products, services, and use context.
Dashboards and Reporting Provide visibility into assessment status, risk levels, control effectiveness, priority issues, and upcoming renewals.
AI-Assisted Expert Review Helps Risk Experts surface risk signals, identify inconsistencies, and support targeted follow-up while keeping human judgment in the loop.
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