The AI Adoption Arc: Externally Facing AI Tools
About the Episode
Welcome to the final installment of The AI Adoption Arc! In Part 4 of 4: Externally Facing AI Tools, Jane Urban and Nathan Trueblood discuss the External Frontier, the stage where enterprises deploy self-built AI capabilities directly to customers and partners. This is where AI moves into the “path of revenue” but introduces the highest level of risk to your reputation and business.
This episode explores the critical difference between conversational tools and Agentic systems that take action on a customer’s behalf. We cover why the trust earned in teaspoons can be lost in buckets, and how to implement a holistic AI trust layer much like Single Sign-On (SSO) for security that enables companies to go fast, be powerfully differentiating, and remain compliant and secure in the wild world of customer engagement.
Highlights from the Episode
- Externally facing AI tools represent the highest risk, but also the most differentiating opportunity.
- The real shift is from conversational AI to agents that take autonomous customer actions.
- How can you scale customer trust when you know it can be lost “in buckets”?
- Auditing and evidence for customer-facing AI is mandatory, not optional.
- A single platform trust layer is required to manage security for all external AI workflows.
Listen to the Full Episode
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About the Authors
Jane Urban
Chief Data & Analytics Officer
Nathan Trueblood
Chief Product Officer, Enkrypt AI