Grounded analysis on enterprise AI agents — adoption data, security, compliance, and ROI. Every number here is sourced. No hype, no fabricated stats.
Adoption jumped from under 5% to a projected 40% in twelve months. Gartner's own analysts are giving CIOs a three-to-six-month window to define a strategy — here's what that means if you haven't started.
Read the articleObsidian Security raised $85M to govern what AI agents do inside your business apps. Nearly 70% of enterprises now let agents touch live data — most can't see what those agents are doing with it.
Not the deadline most people think. A last-minute Digital Omnibus pushed high-risk obligations to 2027, but transparency rules — chatbot disclosure, deepfake labeling — are live now, with penalties up to €15M.
Every department bought or built its own agent — and now nobody's agents share context. Salesforce's 2026 benchmark shows the sprawl is about to get worse before it gets better.
IBM surveyed over 2,000 CEOs. Only 16% of AI projects ever reach enterprise-wide scale. The gap isn't the models — it's how the work gets deployed.
Microsoft, NVIDIA, and Anthropic struck one of the largest infrastructure partnerships in AI history — and it changes the calculus on single-vendor AI bets.
Everything we write about here — agent orchestration, governance, ROI — is what Acclivity's agent stack is built to solve.
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