Category AI Consulting

Building Your 90-Day AI Roadmap: From Audit to Implementation

AI projects stall without a plan. This 90-day roadmap breaks AI adoption into three phases—foundation (audit + governance), implementation (tool deployment + training), and optimization (workflow integration + measurement)—so you finish with real usage, safer processes, and proven efficiency gains.

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AI Transparency: When and How to Tell Customers You’re Using AI

Should customers know you’re using AI? It depends. This article gives a practical framework for AI disclosure—what counts as deception, when disclosure is required (chatbots, automated decisions, regulated advice), when it’s optional, and simple language your team can use to stay transparent without creating confusion.

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Fractional CAIO Cost: Pricing, ROI, and What to Expect

Fractional CAIO pricing can feel opaque until you break it down by scope, hours, and outcomes. This article explains typical monthly ranges, what’s included at each tier, what drives costs up or down, and how to calculate ROI using time savings, revenue lift, and avoided bad tech purchases.

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How to Train Your Team on AI Without Slowing Down Operations

Most AI training fails because it’s one-and-done, generic, and lacks practice. This guide shows a three-phase approach—foundation, role-based application, and ongoing reinforcement—plus micro-learning and an AI champion model to drive real adoption without pulling your team away from daily work.

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What Does a Fractional Chief AI Officer Actually Do? A Week in the Life

If you’re considering a Fractional Chief AI Officer, you’re probably wondering what they actually do day to day. This article breaks down a realistic week in a Fractional CAIO engagement—from leadership strategy sessions and workflow audits to implementation oversight, training, governance updates, and vendor evaluations—plus the concrete deliverables that drive results.

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The Human-in-the-Loop Principle: Why AI Should Never Have the Final Say

AI can draft emails, proposals, estimates, and marketing fast—but it shouldn’t have the final say. This article breaks down the human-in-the-loop principle, why AI can be confidently wrong, where review is non-negotiable (money, legal, clients, technical), and how to build lightweight, repeatable review steps into your workflow.