The Hermes detection controversy highlighted critical questions for enterprise AI buyers. This framework offers 25 questions across five categories—telemetry, decision layer, enforcement, recourse, and change management—to help buyers assess AI platform vendors and mitigate risks.
Walmart's agent stack is setting a new standard for Fortune 100 AI. This article explores how named AI agents for consumers, employees, partners, and developers are forming a new corporate architecture, driving AI visibility and compounding growth for early adopters.
A vendor reputation crisis triggered by customer billing occurs when a customer's widely reported AI cost overrun becomes permanently associated with the vendor's brand in search results and AI-generated answers. In the answer-engine era, a single viral invoice story—verified or not—can reshape how enterprise buyers and platforms like ChatGPT, Claude, and Perplexity describe a product's cost predictability for years.
The AI tool stack moved faster than enterprise communications kept up. Everything-PR's complete cluster on AI products, AI tool communications, and the governance and reputation story of a category restructuring how work gets done.
Sierra is an autonomous AI customer service agent platform built by Bret Taylor and Clay Bavor, designed for major consumer brands to resolve customer service tickets end-to-end across multiple channels.
An enterprise AI procurement cycle after Hermes is a governance conversation. The capability questions still matter. They no longer differentiate. The questions that differentiate are now about what the platform reads, what it decides, and what happens when it gets the decision wrong. This piece is the operational guide to how that shift changes procurement, what to add to every RFP, and where to push back.