HPE adds self-driving actions for enterprise networks

What changed: HPE announced new autonomous networking capabilities across HPE Mist and HPE Aruba Central that can detect, diagnose, and resolve some network issues without manual intervention. The new actions cover capacity and radio optimization, self-securing actions, and user roaming issue resolution; HPE also cited a UK Ministry of Justice deployment that contributed to about a 75% reduction in service desk tickets.

Why it matters: For operators, this is a concrete example of agentic AI being applied to a narrow, measurable workflow: keeping networks running. If the claims hold in your environment, this is less about replacing IT teams and more about reducing repetitive triage.

Try/watch: Ask vendors for the exact actions the system is allowed to take automatically, what requires approval, and how rollbacks work when the network “fixes” the wrong thing.

Greenhouse opens a governed connector for recruiting agents

What changed: Greenhouse announced Greenhouse MCP, using Model Context Protocol to let approved AI tools connect to Greenhouse with permissions, audit trails, rate limits, and organization controls. The company says the capability will roll out to customers starting in June and can support use cases like hiring summaries, pipeline bottleneck analysis, candidate status roundups, and recruiting copilots in Slack or Microsoft Teams.

Why it matters: Hiring data is sensitive, and recruiting teams are under pressure from candidates who are already using AI agents to apply, schedule, and search. A governed connector gives talent teams a safer path to experiment with AI assistants without exporting applicant data into unmanaged tools.

Try/watch: Before connecting any recruiting agent, define which fields it can read, which actions it can take, and who is accountable when an AI-generated hiring summary is wrong.

Intuit brings virtual AI agents into QuickBooks Workforce

What changed: Intuit announced QuickBooks Workforce in the U.S., an end-to-end workforce management product for small and mid-market businesses that combines payroll, time tracking, benefits, recruiting, hiring, performance, and compliance in one platform. It includes virtual AI agents, including a Payroll Agent that can collect and validate time data, flag inconsistencies, and run payroll on behalf of a business owner while helping ensure accuracy.

Why it matters: This is agentic AI aimed squarely at small-business admin work, not just enterprise experimentation. For owners already living in QuickBooks, the value is fewer disconnected HR tools and less manual payroll cleanup.

Try/watch: Treat payroll automation as a controlled rollout: run the agent in review mode first, compare it against your current payroll process, and keep approval checkpoints for edge cases like overtime, corrections, and terminations.

Collibra launches an AI oversight product for agent sprawl

What changed: Collibra launched AI Command Center, a product for monitoring AI systems and agents across their lifecycle with signals on ownership, behavior, decisions, and risk. Collibra also announced a partnership with Giskard for testing and validation, plus an MCP Server meant to deliver governed business context to agents.

Why it matters: As teams build their own agents, leaders need to know what is deployed, what data it touches, and whether outputs can be traced. This matters for regulated companies, but it also matters for any business where an agent can change records, message customers, or influence financial decisions.

Try/watch: Build an agent inventory now, even if it is a spreadsheet. Track owner, data access, allowed actions, approval rules, and failure history before the number of agents becomes unmanageable.