<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anar Agency Insights</title><link>https://anaragency.com/blog/</link><description>Operator-grade insights on AI operations, governance, evaluation, cost control, and growth infrastructure.</description><language>en-us</language><atom:link href="https://anaragency.com/feed.xml" rel="self" type="application/rss+xml"/><item><title>Operations Disguised as AI Problems: The Executive Field Guide</title><link>https://anaragency.com/blog/operations-disguised-as-ai-problems/</link><guid>https://anaragency.com/blog/operations-disguised-as-ai-problems/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>Most enterprise AI problems are operations problems wearing an AI costume. A field guide for CEOs: which AI questions are really process, data, and ownership questions, and where to start.</description></item><item><title>What Is an Agent Harness? The Missing Layer in Enterprise AI</title><link>https://anaragency.com/blog/what-is-an-agent-harness/</link><guid>https://anaragency.com/blog/what-is-an-agent-harness/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>An agent harness is the infrastructure that surrounds an AI agent: tools, permissions, memory, guardrails, evaluation, and recovery. What it is, why it matters more than the model, and what a good one contains.</description></item><item><title>The AI Maturity Model: From AI Literate to AI Enabled to AI First</title><link>https://anaragency.com/blog/ai-maturity-model/</link><guid>https://anaragency.com/blog/ai-maturity-model/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>Run an AI readiness assessment in minutes: score six dimensions against the three-stage maturity model (AI Literate, AI Enabled, AI First) and get the specific move that advances you a stage.</description></item><item><title>Shadow AI Is a Demand Signal: Guardrails That Do Not Kill the Front Line</title><link>https://anaragency.com/blog/shadow-ai-guardrails/</link><guid>https://anaragency.com/blog/shadow-ai-guardrails/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>Shadow AI is unsanctioned employee AI use, and it maps exactly where official tools fail. How to convert it into governed innovation with a one-page acceptable use policy and front-line guardrails.</description></item><item><title>The One-Page AI Governance Framework (Even in Regulated Industries)</title><link>https://anaragency.com/blog/ai-governance-framework/</link><guid>https://anaragency.com/blog/ai-governance-framework/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>AI governance in five decisions: data boundaries, access, evaluation, spend, and accountability. A one-page framework that satisfies regulators without strangling adoption, plus a secure-rollout checklist for coding agents.</description></item><item><title>Who Owns AI? Choosing Between a CAIO, a Center of Excellence, and Champions</title><link>https://anaragency.com/blog/who-owns-ai/</link><guid>https://anaragency.com/blog/who-owns-ai/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>Who should own AI internally: a Chief AI Officer, a center of excellence, or federated champions? A decision framework by company stage, plus who owns builds after deployment and how to run AI alongside day jobs.</description></item><item><title>How Do You Know Your AI Agent Is Actually Good? Evals for Operators</title><link>https://anaragency.com/blog/how-to-evaluate-ai-agents/</link><guid>https://anaragency.com/blog/how-to-evaluate-ai-agents/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>How to evaluate AI agents in production: golden sets, sampled review, tripwires, and the 8-Minute Check for reviewing eight hours of agent work in eight minutes. An operator's guide, not a research paper.</description></item><item><title>The Token Economy: Controlling AI Spend Without Capping Productivity</title><link>https://anaragency.com/blog/controlling-ai-token-spend/</link><guid>https://anaragency.com/blog/controlling-ai-token-spend/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>How to control AI and LLM token spend without limiting employee productivity: the Token P&amp;L, per-workflow attribution, runaway session prevention, and when spending limits help versus hurt.</description></item><item><title>Fragmented Data, the Company Brain, and Why You Do Not Need a Two-Year Overhaul</title><link>https://anaragency.com/blog/fragmented-data-company-brain/</link><guid>https://anaragency.com/blog/fragmented-data-company-brain/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>How to make AI work over fragmented data without a massive re-architecture: the retrieval layer pattern, prioritizing data investments by workflow, and building a company brain that captures tacit knowledge.</description></item><item><title>AI Consultant vs In-House Team: The Real Math</title><link>https://anaragency.com/blog/ai-consultant-vs-in-house/</link><guid>https://anaragency.com/blog/ai-consultant-vs-in-house/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>Hire an AI team or work with an external partner? The honest cost comparison, the three-phase pattern that outperforms both extremes, and the questions that expose a weak AI consultancy in one call.</description></item><item><title>Model-Agnostic by Design: Big AI Bets Without Vendor Lock-In</title><link>https://anaragency.com/blog/model-agnostic-ai-strategy/</link><guid>https://anaragency.com/blog/model-agnostic-ai-strategy/</guid><pubDate>Wed, 15 Jul 2026 09:00:00 +0000</pubDate><description>How to make serious AI commitments while staying portable across model vendors: the swap test, what to standardize versus abstract, multi-model routing, and partnership posture for a moving frontier.</description></item></channel></rss>