If you run marketing for an enterprise company, you’ve probably spent the last few months watching the ChatGPT ads rollout with cautious curiosity. Is it real? Is it ready? Is it worth your budget? The answer to all three: yes — but with important

There is a question running through boardrooms, HR departments, and technology leadership meetings at every major enterprise right now — and it does not have a clean answer yet. The question is not whether to deploy AI agents. That decision is largely made.

There is a number that should be on every enterprise technology leader’s desk right now: 88. That is the percentage of AI agent projects that never reach production. Not projects that underperform. Not projects that need adjustment. Projects that are

HR has always been where organizations make their most consequential people decisions — who gets hired, how they get integrated, and whether they stay long enough to deliver value. For decades, those decisions have been supported by paperwork, spreadsheets,

There is a moment in every enterprise AI program when the single-agent model stops being enough.The proof-of-concept worked. An AI agent handling customer ticket triage, or drafting procurement briefs, or summarizing earnings calls — it worked well enough

Something fundamental changed in enterprise cybersecurity operations over the past eighteen months — and it did not make the front page the way it deserved to. The Security Operations Center, the human-intensive nerve center of enterprise defense that has

Every enterprise deploying AI agents faces the same fundamental governance question — and it usually arrives sooner than expected: how much should the AI agent be allowed to do on its own, without any human involvement?The pitch for fully autonomous agents

The contract sitting in your procurement queue right now looks familiar. It has a flat fee, a multi-year term, and a promise of unlimited access. What it does not look like — at first glance — is the most consequential software commitment your