As AI adoption accelerates across compliance and risk management, understanding the difference between genuine AI solutions and traditional software is critical. Shwetha Shantharam, AVP and product head at 4CRisk.ai, offers expert guidance on evaluating vendors to ensure organisations invest in future-ready technology.
AI agents and co-pilots move beyond traditional apps by acting autonomously, learning from interactions, and delivering outcomes rather than simply executing tasks. Buyers should ask whether vendors’ solutions operate as true AI agents, support human-in-the-loop functionality, deliver measurable ROI, and offer ownership of AI outputs.
Unlike legacy analytics, real AI automates decisions, processes unstructured data, and predicts future trends. To assess vendor claims, buyers must check if core AI technologies like natural language processing and decision-management are truly embedded and independently validated.
Language models are another crucial differentiator. Genuine AI apps use small, specialised models to deliver accurate, bias-minimised responses. Buyers should confirm if vendors curate private models tuned for regulatory and compliance needs and avoid public models that risk data leakage.
Finally, a true AI platform is data-driven, scalable, and cloud-based. Organisations should ensure the platform is certified (e.g., SOC II), supports security features like single sign-on and role-based access, and can manage complex AI computations securely and efficiently.
4CRisk.ai’s award-winning products, including Ask ARIA Co-Pilot and AI-driven compliance tools, aim to revolutionise regulatory workflows—cutting manual research time by up to 90% and offering faster, smarter decision-making for compliance teams.
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