In a recent LinkedIn post, Adrian Swinscoe discusses the significant shifts in risk management occurring as artificial intelligence becomes more integrated into business operations, particularly concerning vendor relationships. Swinscoe highlights that the trend of purchasing AI solutions rather than developing them in-house is fundamentally altering how risk is perceived and managed.
The Growing Importance of Vendor Relationships in AI Adoption
Adrian Swinscoe points out that the increasing reliance on external AI solutions is transferring a substantial amount of risk from the buyer to the vendor. This dynamic necessitates a more rigorous approach to vendor evaluation, contracting, and ongoing governance. As Swinscoe articulates:
“What’s clear is that as AI is increasingly bought in rather than built, it is pushing risk into vendor relationships, contracts, and governance.”
This strategic shift, according to Swinscoe, means that while Chief Experience (CX) leaders might not be directly responsible for security protocols or procurement processes, they bear a significant responsibility for the ultimate customer outcomes and, consequently, the organization’s reputation. The reputational fallout from AI-driven customer experience failures can be severe, making it a critical area of concern for CX leaders.
Key Considerations for CX Leaders
Evaluating AI Vendors and Managing Risk
Swinscoe’s discussion, in collaboration with Rob Wilkinson at CX Today, delves into the essential questions CX leaders should be asking when assessing potential AI vendors. The focus is on understanding how these vendors manage risk and how they contribute to maintaining customer trust. Swinscoe emphasizes the shared responsibility in this evolving landscape.
According to Swinscoe, the conversation with Wilkinson explored crucial aspects that CX leaders need to consider. These include:
- Understanding the vendor’s security and data privacy measures for AI solutions.
- Assessing the vendor’s reliability and track record in delivering customer outcomes.
- Establishing clear contractual terms that define risk allocation and accountability.
- Implementing robust governance frameworks to oversee the use of AI in customer interactions.
Protecting Trust in an AI-Driven Market
The integrity of customer trust is paramount, and Swinscoe’s insights underscore the importance of proactive measures to safeguard it. When CX leaders delegate aspects of AI implementation to vendors, they are essentially entrusting them with a significant part of the customer relationship. As Adrian Swinscoe notes:
“Now, while CX leaders may not own security or procurement, they do own the customer outcome, and often the reputational fallout.”
This highlights the critical need for CX leaders to maintain a high level of oversight and due diligence. The partnership with CX Today, as mentioned by Swinscoe, provided a platform to delve deeper into these pressing issues.
“Rob and I explored what CX leaders should be thinking about and asking when it comes to evaluating vendors, managing risk and protecting trust.”
Adrian Swinscoe concludes by expressing gratitude for the insightful discussion, underscoring the collaborative nature of addressing these complex challenges in the rapidly advancing field of AI and customer experience.
📝 About This Content
This article is based on insights shared by Adrian Swinscoe on LinkedIn.
📅 Originally posted on February 4, 2026 | View original post on LinkedIn →