April 22, 2026
Headlines

April 2026

The agent tier: Rethinking runtime architecture for context-driven enterprise workflows

bizadmin011 mins

Most large enterprises run on deterministic software foundations. Business rules are embedded within workflows, state transitions are modeled explicitly and escalation paths are defined in advance. System behavior is specified in advance, making outcomes predictable. Meaningful scenarios are encoded as conditional branches and validated before release. For decades, this approach has delivered the reliability and…

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MuleSoft Agent Fabric adds new ways to keep AI agents in line

bizadmin05 mins

Salesforce first sought to tackle AI agent sprawl last year with Agent Fabric, a suite of capabilities and tools inside its MuleSoft AnyPoint Platform. Now, it’s seeking to further rein in unruly AI agents on its platform and those of other vendors too, with new governance tools and deterministic controls. When enterprises adopt multiple agentic…

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dbt Labs Report: 72% of Data Teams Use AI. 71% Fear Bad Data. Data Systems Can’t Keep Up

bizadmin05 mins

According to the State of Analytics Engineering 2026, the modern data stack is scaling fast, but unevenly. It is also growing faster than the trust and governance mechanisms designed to support it. AI is no longer experimental. It is embedded. 72% of teams now prioritize AI-assisted coding, and more than 77% of leaders are already…

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Salesforce launches Headless 360 to support agent‑first enterprise workflows

bizadmin06 mins

Salesforce is packaging its developer and AI tooling, including its vibe coding environment Agentforce Vibes, into a new platform named Headless 360, designed to help enterprise teams build agent-first workflows. The CRM software provider defines agent-first workflows as enterprise processes in which software agents, rather than human users, carry out tasks by directly invoking APIs,…

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Tap into the AI APIs of Google Chrome and Microsoft Edge

bizadmin08 mins

With every passing year, local AI models get smaller, more efficient, and more comparable in power with their higher-end, cloud-hosted counterparts. You can run many of the same inference jobs on your own hardware, without needing an internet connection or even a particularly powerful GPU. The hard part has been standing up the infrastructure to…

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