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70% Automation, 6 Industries: AI Agents Move From Assistants to Operators
AI Agents Just Replaced the Last Human Step

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Welcome back! OP here again, helping you with another addition of Agent Pulse - your go-to spot for agentic news, insights and more.
In today’s:
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✨ Featured Agents
🎙️ What to Watch this Week
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Workday announced a major spring release centered on agentic work, with hundreds of new AI capabilities and agents now shipping across its platform. The release includes Sana from Workday, now available worldwide, plus new HR, finance, IT, and legal agents such as Payroll Agent, Financial Audit Agent, Deployment Agent, and Contract Negotiation Agent. One notable metric: Workday says its AI-powered reconciliation can automate preparation and reconciliation by up to 70%, while Sana Enterprise is designed to orchestrate agents across hundreds of enterprise systems. Strategically, this is one of the clearest examples of a large enterprise software vendor moving from copilots to embedded, domain-specific agents tied directly to operational systems and governed data.
Jump launched AI Associate, a new intelligent agent for advisors that expands its platform from insight generation into action-taking across real workflows. The company says the agent works across meetings, CRM systems, email, financial planning tools, and other enterprise systems, turning Jump into an execution layer rather than just a meeting-prep or note-taking assistant. Jump also notes that its platform already includes 20+ AI-powered features, and AI Associate is built on top of its AI OS structure spanning Meet, Grow, and Operate. The bigger takeaway is that wealthtech is moving from assistive AI toward agents that can actually execute advisor workflows inside regulated operating environments.

Rork introduced Rork Max Publishing, a new capability that fully automates the App Store submission process—from metadata to final submission—using AI.
Instead of manually filling App Store Connect fields, Rork now generates the entire listing automatically, including descriptions, keywords, icons, screenshots (including iPad formats), and even mock review content designed to reduce rejection risk. The company claims the process can be reduced from hours (or days) to minutes, effectively turning “shipping” into a near one-click experience.
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Kovr introduced Agent Artemis, an autonomous compliance agent built for highly regulated and defense-oriented environments. The company says Artemis can connect cloud environments, security tools, and compliance data to generate NIST-based artifacts through natural conversation inside a FedRAMP-authorized, zero-data-retention environment; it also says the broader platform is already deploying to the U.S. Air Force and Space Force. Kovr frames the existing compliance burden as a two-year, $2 million process, positioning Artemis as a way to compress that cycle dramatically. Strategically, this is a strong signal that agentic AI is moving deeper into high-stakes government and cybersecurity workflows where auditability and environment controls matter as much as model capability.
Viz.ai launched Viz Agent Studio, which it describes as the first agentic platform that lets health systems translate clinical guidelines into clinical workflows using natural language. The product is meant to help hospitals create and scale AI care pathways across the enterprise, and the company points to a major operational gap: 67% of clinical guidelines are not routinely followed in practice. Viz also cited prior results across conditions including reduced stroke length of stay by three days and lower COPD readmissions. The strategic significance is that agentic AI is increasingly being framed not just as automation, but as a mechanism for operationalizing clinical protocols at health-system scale.

ITRS unveiled a new set of AI-powered SRE agents for mission-critical, regulated IT environments. The initial beta includes a root-cause analysis agent, a support agent, and a website monitoring agent, all built to work from live telemetry data while preserving transparent reasoning and enterprise controls. ITRS is clearly positioning agentic AI as an operations layer for reliability engineering rather than just a support interface. That matters because observability vendors are starting to turn production data into a substrate for action-taking agents, especially in industries where compliance and uptime are both non-negotiable.
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