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Risk does not stand still, and neither can the people responsible for managing it. If you work in third-party risk management, you already understand the reality: just when a risk domain starts to feel stable, a new regulation emerges, a disruptive technology takes hold, or a new category of risk becomes urgent. Staying current isn’t just a best practice, it is a constant, ongoing challenge.
A few months ago, I experienced a moment that illustrated this challenge more clearly than anything else had before.
When the EU AI Act began gaining momentum, conversations across procurement, compliance, and risk circles shifted almost overnight. Organizations suddenly needed a way to assess whether their third parties were developing or using artificial intelligence responsibly, and whether those practices aligned with emerging global expectations.
At that moment, I had two options: wait for someone to build a ready-made solution or try to create one myself.
Waiting didn’t feel like an option. The pace of change was far too fast.
Instead, I opened my Aravo environment and decided to build a Responsible AI assessment on my own, using Aravo’s configuration tools, without engineering support, custom code, or reliance on a vendor release cycle.
I started by researching what a responsible AI evaluation should include. To ensure alignment with a globally recognized standard, I grounded the assessment in the OECD Responsible AI Principles. These principles, which map well to the requirements of the EU AI Act, are organized around five core pillars:
Using these principles as the blueprint, I built a fully functioning Responsible AI risk domain in my personal Aravo demo environment. In just two weeks, I created the assessment, configured a multi-step workflow, developed a domain-specific scorecard, and built the reports and dashboards required to operationalize it, all through point-and-click configuration.
There was no waiting. No backlog. No development work. Just the ability to respond immediately.
This experience perfectly illustrates why Configurable Risk Domains are so essential. Risk evolves every day, and new regulations are emerging faster than ever. TPRM programs cannot afford to wait for vendor updates or spend months building new evaluation models from scratch.
Practitioners need the ability to:
Aravo’s Configurable Risk Domains give teams the flexibility they’ve always needed but rarely found in other solutions. And with the platform’s scalable mapping capabilities, organizations can easily stay aligned as regulations evolve.
The Responsible AI example is just one situation, but it represents a broader pattern. Across the industry, new expectations continue to emerge around climate disclosures, human rights due diligence, geopolitical instability, data privacy, and more. Each of these areas requires rapid adaptation.
A modern TPRM program must be able to evolve constantly, and the technology supporting it must enable that evolution rather than slow it down.
Configurable Risk Domains empower organizations to:
I didn’t build my Responsible AI domain just because I could. I built it because organizations need a tangible example of how TPRM platforms should respond to evolving risks and at the speed the moment demands.
If evolving risks and regulatory pressures are forcing your team to move faster than your technology allows, it may be time to rethink what agility should look like in your TPRM program. Let’s talk about how Aravo’s Configurable Risk Domains can help you stay ahead of change rather than chase it.
Ready to see configurable risk domains in action?
Join us for our upcoming webinar, “Future-Proof TPRM: Gain Agility and AI-Powered Decision Making with Aravo’s Configurable Risk Domains,” to learn how Aravo’s can help you rapidly stand up new risk domains, operationalize Responsible AI, and stay aligned with evolving global regulations.
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