A green checkmark tells you a Databricks job finished — not that the data is right. Here's the AI Coworker built to check, and what it found.

When an AI Workforce can handle the routine and the repetitive, IT service desks don’t become something that employees and IT teams both hate.

A customer story from an ANZ e-commerce platform: what closed-loop incident response looks like when triage, war-room sync, and the postmortem are all written by AI.

A data-platform demo: the Airflow log said timeout, CloudTrail said revoked security rule, and the AI Coworker refused to touch production until two humans agreed on which one to believe.

A Purchase Approval Coworker routed 53 software purchases to five managers with line-item detail and held back six it refused to send.

One reconciliation sweep found six things wrong with a software inventory. The most useful was the one the AI Coworker refused to fix.

An expired TLS certificate on a payments endpoint went unnoticed for 90 minutes. An AI Coworker renewed it, asked before rebinding the live endpoint, and verified the fix.

Predictive device health spots a failing laptop days before the ticket. How an Atomicwork AI Coworker can do the analysis on your behalf and alert you to any anomalies before they arise.

Companies pay for a standalone AI assistant and an ITSM whose AI only does IT. Atom's content settings let one governed assistant do both, for less.

The fourth ITIL 4 guiding principle in practice: why IT work hides in silos and queues, and how an AI Coworker makes it collaborative and visible.

Before the on-call engineer is even online, an AI buddy reads the alert, triages it, opens a Teams war room, and tags the right responder.

Manual categorization leaves a quarter of tickets in Other or blank. An AI Coworker categorizes from your own taxonomy when confident, and recommends when not.

A read-only AI Coworker checked all 890 CIs against AWS and Entra, found ghost servers owned by people who had left, and flagged what it could not see.

Zendesk is a customer service platform, not a purpose-built ITSM tool. Here is the evidence, the ITIL gaps, and what real ITIL value looks like.

Part 3 of a series on the seven ITIL 4 guiding principles. Why the big-bang AI program is the wrong bet, and how to ship one small change and let the result decide what's next.

What ITIL 4's Start Where You Are really means, why teams plan from assumptions, and how to measure your real current state in one small step.

Part 1 of a series on the seven ITIL 4 guiding principles. What focus on value really means, why teams measure activity instead of outcomes, and what changes the moment you start measuring time-to-access.

Everyone hunts shadow AI in network traffic. The real evidence is in your OAuth grants. A read-only AI Coworker reads Okta, Entra, and Google Workspace.

Approved changes are a leading cause of IT outages. Here is how Change Intelligence, built into your CMDB, predicts and prevents change-related failures.

An AI Coworker read a broken Windows device, fixed a disabled Print Spooler through Microsoft Defender Live Response, and flagged that this was the second time it had happened.

The six activities of the ITIL 4 service value chain, and how generative AI (GenAI) and agentic AI, as a governed read-only AI Coworker, do the connective work inside each one. With real examples.

Focus on value, start where you are, progress iteratively, collaborate, think holistically, keep it simple, optimize and automate. How generative AI and agentic AI, as governed AI Coworkers, apply to each, with real examples.