Forbes: Enterprise AI Belongs to Systems That Can Act
The next phase of enterprise software isn't about AI capability — it's about execution. Appier's CEO argues we're shifting from "access to outcomes," where agentic AI doesn't just assist work but carries it out. The key challenge: designing systems that know when to act, when to ask, and when to stay out of the way. Think risk-aware decision making and capability calibration — not just intelligence.
Read on Forbes →Info-Tech: Formal AI Strategy = 3x More Impact
New research from Info-Tech Research Group shows 42% of organizations have achieved department-wide AI adoption with measurable impact. But the real insight: enterprises with a dedicated, governed AI strategy are three times more likely to report measurable results (60% vs. 20%). The conditions for success — data readiness, executive ownership, clear business cases — aren't evenly distributed.
Read on PR Newswire →Sprinklr Ships Summer '26 AI Release
Sprinklr's Summer '26 release brings AI-powered analytics, automation, and customer engagement tools designed to help brands move from insights to action in real-time. New capabilities span Voice AI, influencer analytics, customer feedback analysis, and integrations with Microsoft Teams, Adobe CJA, and — notably — ChatGPT and Claude. The platform play: connect customer data, AI insights, and workflows into one unified system.
Read on CXM Today →MarTech's Massive AI Drop Week
This week's martech releases signal where the industry's headed: 6sense launched an MCP server to share buying intent data with AI agents. NewtonX unveiled Synthetic Personas — AI-generated B2B buyer simulations for research and product teams. ActiveCampaign's Active Intelligence 2.8 now learns brand voice to draft marketing assets. And Tenon expanded marketing automation into ServiceNow's AI platform. The pattern: AI moving deeper into workflows, not sitting on top.
Read on MarTech →Salesforce: 75% of Marketers Now Use AI
The latest State of Marketing research finds three-quarters of marketers are now using at least one form of AI — predictive, generative, or agentic. What was "exotic" two years ago is now "expected." The question isn't whether to adopt AI anymore. It's whether your AI usage is strategic or just scattered.
Read on AI Digital →💡 My Take
Read this one: The Forbes piece on agentic AI execution. The framing of "from access to outcomes" captures the real shift happening in enterprise software. Most AI conversations still focus on capability. The winners will be the ones solving for judgment — teaching systems when to act, when to escalate, and when to stay silent. That's the enterprise challenge of the next 18 months.