Trust and Transparency in AI-Driven CRM for Pharmaceutical Engagement: A Compliance-Integrated Design Framework

Authors

  • Jasmeer Singh

Keywords:

Artificial Intelligence Transparency, Pharmaceutical CRM Compliance, Algorithmic Accountability, Privacy-By-Design, Explainable AI Systems

Abstract

The pharmaceutical industry faces unprecedented challenges in implementing artificial intelligence withincustomer relationship management systems while maintaining trust, transparency, and regulatorycompliance. AI-driven engagement systems generate sophisticated recommendations for healthcare professional interactions

References

Intuition Labs, "Building a Custom Pharmaceutical CRM with AI-Assisted Development," 2025.

[Online]. Available: https://intuitionlabs.ai/articles/building-custom-pharmaceutical-crm-ai-assisted

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Published

2025-11-13

How to Cite

Jasmeer Singh. (2025). Trust and Transparency in AI-Driven CRM for Pharmaceutical Engagement: A Compliance-Integrated Design Framework. Journal of Computational Analysis and Applications (JoCAAA), 34(11), 219–234. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4119

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.