How Aravo Partnered with AppDirect to Bring Native Governed AI to Enterprise TPRM

TL;DR

Third-party risk management has become one of the most complex operating environments inside the enterprise, and Aravo has raised the bar for what AI in enterprise TPRM can actually look like. By partnering with AppDirect and its Devs.ai platform, Aravo built AI natively into the workflows, permissions, and decision points their customers depend on every day. Governed, transparent, and defensible, Aravo AI and AI Canvas are showing what it looks like when AI genuinely fits the way enterprise risk teams work.

Enterprise TPRM demands a different approach to AI

Third-party risk management has become one of the most complex operating environments inside the enterprise. Organizations need to manage suppliers, vendors, third parties, and nth parties across risk domains such as cybersecurity, data privacy, financial exposure, operational resilience, regulatory compliance, ESG, anti-bribery and corruption, and more.

For large organizations, this isn’t simply a data problem. It’s a workflow, governance, accountability, and decision-making problem. That’s why AI in TPRM can’t sit outside the systems, processes, permissions, and risk context that teams rely on every day. To be useful in enterprise risk and compliance environments, AI needs to be native, embedded, governed, and defensible.

For Aravo, that philosophy shaped the development of Aravo AI and AI Canvas within the Aravo Intelligence First platform. The goal wasn’t to introduce AI as a separate experience or a disconnected assistant. It was to bring AI directly into the workflows, data, permissions, and decision points that already support enterprise third-party risk programs.

Aravo partnered with AppDirect and its Devs.ai platform to help accelerate the delivery of embedded AI experiences while maintaining the governance, transparency, and control that enterprise TPRM requires.

Why Aravo and AppDirect partnered

Aravo brought deep TPRM domain expertise, a mature enterprise platform, and 25 years of experience supporting complex third-party risk programs. AppDirect brought AI development capabilities through Devs.ai that helped accelerate the path from concept to embedded product experience.

The partnership worked because both companies were focused on the same outcome: making AI practical, governed, and usable inside enterprise workflows.

For Aravo, speed alone wasn’t enough. Any AI experience had to fit inside the Aravo Intelligence First platform, respect enterprise permissions, support transparent outputs, and meet the expectations of customers operating in highly regulated and high-risk environments. AppDirect helped Aravo move faster while preserving that standard.

Why native AI matters in TPRM

In many enterprise applications, AI can be helpful even when it operates as a separate layer. TPRM is different. Risk decisions depend on context: the third party involved, the relationship, the services provided, the risk domains in scope, the business owner, the geography, the applicable regulations, the workflow stage, and the permissions of the person asking the question.

When AI doesn’t have that context, the answers may be incomplete, irrelevant, or difficult to defend. In a compliance environment, that creates risk.

Aravo’s approach, developed with support from AppDirect, is designed around a different principle:

• AI should operate within the platform where third-party risk work already happens

• It should respect user roles and permissions

• It should connect to trusted risk information

• It should provide transparency into how answers are generated

• It should keep human expertise in the loop

This is the foundation of AI Canvas, Aravo’s embedded AI experience for third-party risk management. AI Canvas gives users a more intuitive way to interact with risk information, ask questions, surface insights, and take action while remaining within the governance structure of the Aravo platform.

“We use that word ‘native’ very deliberately, because we don’t want people to see what we’ve done here as a bolt-on solution.”

— Dean Elms, Chief Product Officer, Aravo

Built for enterprise governance

Enterprise TPRM programs require more than speed. They require control, accountability, and evidence. Risk teams need to understand where information came from, how it was interpreted, and whether it can be reviewed, validated, or challenged.

That’s why Aravo’s AI approach emphasizes transparency and verification. Agent-generated responses can be supported with source references, confidence indicators, and reviewable outputs. Users remain part of the decision process, especially when risk judgments require business context, regulatory interpretation, or expert review.

The work with AppDirect helped Aravo accelerate these embedded AI experiences while staying grounded in a core belief behind Aravo AI: AI should accelerate risk work without removing the governance that makes risk decisions defensible.

For organizations managing large and complex third-party ecosystems, that distinction matters. The value of AI is not simply that it can produce an answer quickly. The value is that it can help teams move faster while preserving the evidence, oversight, and accountability required in enterprise risk management.

Rethinking vendor assessments

One of the clearest examples is the vendor assessment process. Traditional assessments often require vendors to complete long questionnaires, while internal teams spend significant time chasing responses, reviewing evidence, checking for inconsistencies, and validating controls.

Aravo AI helps streamline that process by using trusted documentation to support assessment workflows. Instead of relying only on self-reported questionnaire responses, teams can use AI to help review documents, identify relevant answers, map information to assessment requirements, and surface supporting evidence for human review.

This can reduce manual effort, improve consistency, and help risk teams spend more time on judgment and follow-up rather than repetitive review work. It also supports a more evidence-based approach to third-party risk, where documentation, citations, and reviewability are built into the workflow.

“Instead of death by questionnaire, it’s just a very elegant way of blocking and tackling—leveraging agentic usage to confirm the information that I’m managing within the Aravo system throughout any step in the overall third-party life cycle process.”

— Theodore Wilson, Solutions Engineer, Aravo

Human expertise stays in the loop

Aravo’s AI strategy is grounded in the realities of enterprise risk management. AI can accelerate research, summarize documentation, guide users through workflows, and surface insights from large volumes of information. But risk decisions still require human expertise.

That is especially true in TPRM, where the right answer may depend on the organization’s risk appetite, regulatory exposure, contractual obligations, operational dependencies, and the business value of the relationship.

Aravo AI is designed to support that human judgment, not replace it. Users can review AI-generated outputs, validate source material, challenge findings, and apply the business context that only experienced risk professionals can bring.

This human-centered approach is critical for organizations that need AI to be not only useful, but also transparent, governed, and defensible.

Accelerating innovation through the AppDirect partnership

The partnership with AppDirect helped Aravo accelerate innovation without compromising the principles that matter most in enterprise TPRM: governance, transparency, control, and trust.

Through Devs.ai, AppDirect supported Aravo’s ability to bring practical AI experiences into the Aravo platform faster. Aravo contributed the TPRM domain expertise, platform context, enterprise customer understanding, and governance model needed to make those AI experiences relevant for risk and compliance teams.

That combination matters. AI alone doesn’t solve TPRM. AI becomes valuable when it's connected to the risk data, workflows, permissions, and human decisions that shape the third-party lifecycle.

Together, Aravo and AppDirect helped move that vision forward: AI that isn’t simply added to a platform, but embedded into the way enterprise TPRM teams work.

The future of AI in TPRM

As third-party ecosystems continue to expand, risk teams will face more data, more regulations, more stakeholders, and more pressure to act quickly. AI will play an important role in helping organizations keep pace, but only if it is implemented in a way that enterprise teams can trust.

For TPRM, that means that AI must be embedded in the systems of record and workflow orchestration platforms that already govern third-party risk. It must work with trusted data. It must respect permissions. It must provide evidence. And it must keep humans in the loop.

That’s the direction Aravo is taking with Aravo AI and AI Canvas, with AppDirect as a partner helping accelerate the journey: native and embedded AI for enterprise TPRM that is transparent, governed, and defensible.

The numbers behind the story

The full Aravo case study tells the story behind the numbers: assessment labor cut by 80 to 90 percent, regulatory research compressed from nine hours to minutes, and a native AI layer built and deployed without standing up an AI stack from scratch. 

Read the full case study.

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