Aravo launched Aravo AI, a native AI capability embedded within its Intelligence First™ Platform and built directly into third-party risk workflows to enable organizations to automate manual processes, access real-time insights, and make decisions with full transparency and auditability.
“Third-party risk management leaders are both excited and cautious about AI,” says Dean Alms, chief product officer at Aravo. “They see the potential to automate work and move faster, but they also need to trust how decisions are made. Aravo AI is built for that reality, combining real workflow impact with the transparency and control required in risk and compliance.”
Key takeaways:
· Aravo AI brings AI directly into third-party risk workflows through a combination of automated execution and real-time insight, and a new, intuitive user interface.
· Workflow agents for automated execution. These agents run automatically within existing processes to handle time-consuming tasks. This includes Survey Agents that review documents and prefill assessments with cited sources and confidence levels, Remediation Agents that suggest corrective actions, and Decision Agents that guide and automate risk decisions.
· Interactive agents for on-demand insight. Available within AI Canvas, these user-facing agents provide real-time visibility into third-party risk. They help teams navigate the platform, assess supplier risk, and answer questions about program data. This includes a Navigation Agent, a Risk Expert Agent, and a Data Query Agent.
· AI Canvas, a central workspace for real-time answers. A single place where users can ask questions about their third-party risk management program and get immediate answers based on live data, without leaving their workflow.
· AI Studio for customization. This is a no-code environment where teams can create new agents or modify existing ones to match their policies and workflows. Teams can also choose which LLMs power their agents, giving them flexibility in how results are generated and aligned to their internal requirements.
