ANTS Platform Agentic ITAM: the system of record for enterprise AIIdeas on running enterprise AI
Adoption, measurement, governance and spend, from the ANTS Platform team.
From AI Activity to AI Evidence: The Measurement Layer Enterprise AI Needs
Why AI ROI, adoption, and effectiveness are becoming one measurement conversation for enterprise…
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AI Effectiveness: The Next Measure of Enterprise AI
Enterprise AI is entering a new phase. AI agents are moving into production. Teams are incorporating AI into everyday workflows. New use cases are emerging across engineering,…
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AI Adoption Does Not Stall at Launch. It Stalls at Scale.
Most enterprises do not struggle to start AI. They struggle to make it…
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The AI Layer Most IT Consultancies Miss
The IT consultancy guide to AI delivery that holds up: why observability, shadow AI control, and runtime governance are the differentiators your clients will demand next, and the…
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AI Policies Don’t Stop AI Incidents but Guardrails Do
But with a capable AI agent doing exactly what it was designed to…
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Your AI Agents Failed Three Times This Week. You Caught Two.
Why observability separates AI that scales from AI that quietly rots underneath…
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Why AI Governance Must Become a Runtime Capability
Your compliance team has policies. Your AI agents have none — and they are making thousands of decisions a day…
Read on MediumYour CEO Is Asking About AI Productivity. Most CIOs Don't Have the Answer Yet.
74% of CIOs increased AI spend in 2025, and fewer than 20% can quantify the return. The methodology, the four dimensions, and a 90-day case study.
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Is Your AI Agent a Double Agent? Securing the Runtime Data Plane for Agentic AI
They read data, call tools, execute workflows, and make decisions across…
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Your AI Model Is Lying to You: How to Detect Data Poisoning in 2026
A recommendation shifts slightly. A fraud model misses edge cases. A support agent starts giving subtly incorrect answers. A retrieval pipeline begins prioritizing the wrong…
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Move Fast, Don’t Crash: Minimum Viable Governance for Enterprise AI
Enterprise AI teams are under pressure to do two things at once: move fast and stay in…
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