Reviewing AI output for plausibility isn’t enough. Here’s a simple structure you can apply to protect yourself from “hallucinations.” By Chris Robson Published on July 27, 2026 A lot of companies say they use human-in-the-loop (HITL) to review AI output, and they say it in a way that means, “We’re not like … Continue reading Why your AI-review process is going to fail
Any time savings from AI are getting eaten up by fixing output, managing fragmented tools, and building the governance needed to make it work. By Constantine von Hoffman Published on July 24, 2026 Marketers aren’t struggling to adopt AI. They’re struggling to make it work. An Optimizely survey of more than 2,000 B2B … Continue reading Time saved by using AI is being spent on managing its output
Build AI literacy, rethink team structures and workflows, and prepare your marketing organization for AI-driven change. By Mike Ruff Published on July 21, 2026 According to a June 2026 McKinsey article, 96% of CMOs surveyed agreed with the statement, “I feel excited about the possibilities of AI at work.” Is that excitement translating to … Continue reading What CMOs should be doing about AI right now
AI adoption is nearly universal in CX, but organizations are divided on architecture, governance, and building customer trust while proving ROI. By Constantine von Hoffman Published on July 10, 2026 Ninety percent of CX organizations are now piloting or deploying AI, according to Five9’s “2026 Business Leaders CX Report.” Overall, the report found … Continue reading AI adoption hits 90% as CX deployment paths diverge
July 05, 2026 Stop asking employees to adopt AI BY Jenny Fernandez and Tomer Hason Organizations are facing an urgent change management challenge. Leaders are convinced that artificial intelligence will transform their business, yet the people needed to carry that transformation forward have stopped trying, or so it appears. According to McKinsey’s Superagency in the Workplace report, … Continue reading Stop asking employees to adopt AI
Without clear processes, training, and governance, AI can create more work, weaken trust, and increase brand risk. By Tav Laskauskas Published on July 2, 2026 AI was supposed to make marketing faster, smarter, and more efficient. In theory, it does. But in practice, many teams are moving so quickly to adopt AI that … Continue reading Stop adopting AI and start solving problems
New report shows consumers are using AI more, which likely explains growing skepticism about its accuracy, automation, and influence. By Constantine von Hoffman Published on May 8, 2026 AI use is now commonplace among consumers. Prophet’s new “2026 AI-Powered Consumer Report” found that generative AI adoption has climbed to 73%, up sharply from … Continue reading AI use and fatigue growing among consumers
Most consumers use AI to research products, but hesitation around payments shows a clear ceiling on how far AI commerce can go. By Constantine von Hoffman Published on May 1, 2026 AI is becoming a standard part of how people shop, but there is a clear limit to how far consumers are willing … Continue reading AI shopping hits a trust ceiling even as AI adoption rises
April 19, 2026 A leader’s guide to getting AI right BY Art Markman Companies are currently grappling with how to use AI, and results vary. At times it can feel like the blind are leading the blind. As you watch leadership in your organization chart a path to engage with AI, what can you do … Continue reading A leader’s guide to getting AI right
Most companies use AI but few integrate it. Here’s why the gap exists and how the agentic stack connects systems and decisions. By Frans Riemersma Published on April 2, 2026 AI agents are rapidly appearing across company stacks, but most remain isolated in use cases rather than integrated into core workflows. While 90.3% … Continue reading Why AI adoption is high but integration is failing in martech
