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While the portion of physicians surveyed who reported that their enthusiasm exceeded their concerns with health AI increased between 2023 (30%) and 2024 (35%), a large segment remains unconverted to the value of fully embracing AI, citing reliability and potential impacts on patient trust as leading concerns. Whether organizations take an insourced or outsourced approach, following these best practices will ultimately reassure patients, clinicians, and other stakeholders that AI is trustworthy and able to provide external-facing information about critical medicines in use or in development: Prioritize patient trust and compliance: Organizations must establish strict data governance policies, transparent communication practices, and regular audits to ensure privacy, security, and adherence to new regulations. Instead of treating AI as a competitor to their operations, legacy contact center companies should view AI as a partner that can automate the repetitive tasks of contact center management with effective tools, enabling the human workforce to focus where empathy and judgement are most essential. As contact center organizations adopt AI tools to augment their operations, taking a phased approach that integrates AI in an incremental way can enable organizations to monitor results, gather feedback, and continue to adapt to the new ways of working.