CUSTOMER PORTAL
Some of my favorite childhood memories with my dad were building and racing Pinewood Derby cars during our Cub Scouting days. Each year, we’d carefully carve, sand, paint, and decorate a new car, experimenting with bold colors, creative designs, and that all-important sticker placement. But it was never just about building cars. It was about teamwork, learning, and building something together with intention.
Those weekends in the garage taught me more than how to use tools or avoid streaks in the paint. They taught me the value of aligning to a shared goal, trusting guidance, and following a thoughtful, step-by-step process.
At first, I relied heavily on my dad’s instructions like how to safely cut wood, where to place the wheels, and how to balance the car for speed. But as I learned and grew, I didn’t need him to do it all for me, I just needed his feedback, validation, and a shared commitment to building something better each time. Together, we evolved from hobbyists to confident race-day contenders (I even got the Pinewood Derby trophies to prove it)!
That experience mirrors how organizations should approach building and deploying Artificial Intelligence (AI) into their Third-Party Risk Management (TPRM) programs. Just like Pinewood Derby success takes more than a fast car, AI delivers value only when it’s thoughtfully integrated, aligned to purpose, and supported by a clear roadmap.
As TPRM professionals face growing complexity, evolving regulations, and tightening resources, AI can be a powerful co-pilot when deployed with intention. Much like the methodical work of crafting a Pinewood Derby car that performs, AI needs structure, guidance, and testing to truly enhance outcomes.
That’s why Aravo’s Intelligence-First platform stands apart. Guided by a deliberate roadmap and grounded in research from Gartner, McKinsey, Deloitte, and others, Aravo avoids the rushed, bolt-on approach to AI adoption. Instead, it focuses on a smart, phased implementation that strengthens resilience, increases efficiency, and builds long-term trust.
It’s the difference between simply racing and racing to win.
Like a Pinewood Derby project that evolves in skill and sophistication each year, Aravo’s AI strategy follows a phased approach that grows in capability and impact. Below we provide a breakdown of Aravo’s Wave approach and our vision for how organizations should adopt AI in a controlled, scalable manner:
Aravo is already delivering results through machine learning models that leverage historical third-party data to drive smarter, more-informed decisions on risk assessments. These models are actively used across Aravo’s various workflows creating immediate value by reducing manual effort, improving accuracy, and accelerating decision-making.
Looking ahead, Aravo is introducing dashboard-embedded GenAI agents, not vague chatbots, but specialized, action-oriented wizards tailored to TPRM use cases. These agents span across six core types: assistant, research, survey, publishing, and integration with the goal of reducing friction in workflows, automating routine tasks, and offering contextual intelligence within the platform so users spend less time searching and more time acting.
This wave introduces self-improving agents that learn and optimize risk decisioning over time. These AI agents are not meant to just execute instructions but refine their own models based on organizational outcomes, risk trends, and feedback. This shift will transform AI from a helpful supporting function to a proactive partner in TPRM strategy.
Aravo’s long-term vision aims to reshape how organizations collaborate. Trust will become a shared infrastructure, enabling cross-organizational networks and joint resilience models. These shared ecosystems will reduce duplication, improve response speed during disruptions, and create a more transparent third-party landscape across industries.
What makes Aravo uniquely suited to drive this AI-enabled future? With over 25 years of experience, Aravo’s platform manages more than 10 million workflows annually across highly regulated sectors including finance, pharma, technology, and consumer goods. Its scale speaks for itself, with support for 40+ languages and integrations with over 45 leading risk intelligence partners.
But scale alone isn’t enough. What sets Aravo apart is the foundation already in place to enable impactful AI:
And because Aravo’s platform is built on a model of continuous improvement, its AI capabilities will only grow stronger and more valuable over time. Unlike rushed deployments that bring risk without return, Aravo’s deliberate, phased approach ensures that every AI enhancement aligns with actual TPRM needs to solve real problems and not just check boxes.
At Aravo, we don’t believe in rushing to deploy AI for the sake of headlines. Just like you wouldn’t race a Pinewood Derby car that hasn’t been tested, weighted, and fine-tuned, we believe AI must be built and implemented with purpose. Our Wave strategy ensures each stage of development delivers practical, measurable results.
Like a father-son team fine-tuning their car before race day, we’re focused on merging Aravo and AI with control, craftsmanship, and confidence.
Want to learn more? Contact Aravo today!
For a live look at how to lead AI initiatives with confidence and responsibility, join our webinar on November 18, Manage AI Risk: Understand the Importance of Internal AI Governance and Assessing Third-Party Use of AI. Learn more about phased AI governance frameworks and critical challenges that prevent most generative AI projects from delivering. Register for the webinar here!
Share with Your Friends: