327 | Breaking Analysis | Salesforce after Dreamforce – How $CRM can grow beyond its own interface
Salesforce’s next growth opportunity just may come from customers spending less time in its interface, and having agents do more of the work.
Coming out of Dreamforce 2026, we believe that is the shift worth exploring. The progression from command lines to graphical interfaces, browsers and mobile is entering the next phase. Specifically, an agent can now generate an interface around a task, inside Claude, Slack or another client surface. The customer no longer has to start with the application’s screen. The starting point becomes a desired outcome.
But generating an interface is not the same as understanding the business. That is where our AI enterprise software framework comes in. The system of engagement (SoE) is the new client interface and connects people and agents. The system of intelligence (SoI) supplies the business context. And the system of agency (SoA) turns that understanding into action. Salesforce’s larger ambition is to connect these elements through what it calls an enterprise AI harness, comprising data, business knowledge, workflows and controls, that let models do useful work across systems. This goes well beyond answering questions. It blends deterministic software with the stochastic qualities of LLMs to completely change how organizations and professionals work.
AI Agent Governance Is Moving From Observability to Provable Trust
Why AI agent governance must evolve beyond observability to runtime authorization, verifiable evidence, and provable trust.
326 | Breaking Analysis | Beyond Shared Responsibility: When AI Acts, Who Owns the Blast Radius?
The cloud shared responsibility model was initially not well understood by many customers. In fact, early adopters often believed that simply having data in the cloud meant that Amazon, or a SaaS vendor were responsible for safeguarding it. Amazon had to educate its customers and partners that security and compliance duties were split between the vendor and the client organization. In short, the vendor was responsible for securing the cloud resources but you, the buyer, were responsible for securing what you put inside the cloud; based on your policies, priorities and budget. We believe a similar but much more consequential dynamic is unfolding with respect to agentic AI. Specifically, Cloud computing divided responsibility by infrastructure layer. Agentic AI distributes authority across a chain of models, platforms, clouds, partners and customers. Our premise is the industry now needs a shared accountability model for the decisions, actions and outcomes that chain produces.
AI Observability Is Moving From Detection to Action
Why AI observability is evolving from monitoring into an intelligence layer that enables agents to diagnose and act.
Agentic Commerce Depends on Customer Readiness, Not Just Technology Speed
Why agentic commerce success depends on customer trust, AI-ready content, and orchestration—not technology speed alone.
325 | Breaking Analysis | CrowdStrike’s Post-Mythos Surge: Moat, Momentum and the Blast-Radius Test
In this Breaking Analysis we’ll dig into how CrowdStrike and Falcon are converting AI urgency into platform expansion. We’ll introduce data from a new data intelligence firm, Qualitiate, which has conducted many thousands of buyer surveys on CrowdStrike and other firms. We’ll also discuss why containing the new blast radius is a key to operational, technical and financial sovereignty in this AI era.
AI Agents Need a New Observability Model
Why AI agent observability must measure intent, experience, outcomes, and cost alongside traditional application performance.
From Vibe Coding to Governed VibeOps: Fabrix.ai Targets the Next Phase of Enterprise Operations
Fabrix.ai is introducing a multi-vendor, governed VibeOps operational intelligence platform designed to help IT, network, security and site reliability teams create operational dashboards, agents and automation workflows using natural-language instructions. The company is also adding domain-specific small language models, or SLMs, intended to improve the accuracy, performance, privacy and economics of operational AI. The announcement […]
The New Measure of Cyber Recovery: Can the Business Get Back to Work?
A cyberattack is more likely to interrupt today’s enterprise than the natural disasters business continuity programs were originally built around. Enterprises still need to prepare for fires, floods, earthquakes, power failures and other physical events. But they are more likely to experience a cyber incident that disrupts business operations by affecting employee productivity, taking applications […]