In this video, RKL’s expert advisors discuss the complexities of implementing artificial intelligence in business settings. They explore how AI can transform processes, enhance decision-making, and the critical importance of understanding data quality and risk management. Viewers will gain a deeper understanding of AI’s potential and the necessary steps to ensure successful integration.
Key points:
- Businesses should approach AI through a structured decision process: clearly define the problem, assess organizational readiness (people, data, and systems), choose the right type of solution, evaluate risks and governance, quantify ROI, and then pilot and scale.
- High‑quality data, strong processes, and skilled people are prerequisites for successful AI. Without clean, well-structured data, defined workflows, and employees trained to question AI outputs, organizations risk inaccurate results and misuse of sensitive information.
- AI should be governed as a company‑wide initiative rather than just an IT project, with cross‑functional ‘AI think tanks’ or governance groups, clear vendor due diligence on data protection, and a “human in the loop” to continuously monitor, challenge, and validate AI decisions.
