CX with SG · 2026-01-02 · 42 min
This episode focuses on what it truly takes to build AI systems that enterprises can trust at scale. We walk through the full AI lifecycle - from design and development to deployment, monitoring, and continuous validation - highlighting why trust cannot be bolted on after the fact. The discussion explores how bias, drift, opacity, and unmanaged autonomy introduce systemic risk if left ungoverned. Listeners will gain clarity on how testing, observability, and accountability must be embedded into AI workflows from day one. This episode is essential for leaders seeking to balance innovation with reliability, compliance, and long-term organizational confidence in AI-driven systems. Podcast Legal Disclaimer This podcast is a personal project, a hobby and is not affiliated with, endorsed by, or representative of any employer, organization, or professional entity with which the creator may be associated. All views and opinions expressed are solely those of the podcast creator and do not necessarily reflect the official policy or position of any organization, employer, or institution.