REFERENCE
Total Cost of an AI Project: The Three Cost Components
The license price is not the project cost: setup, change management, and operations add up. Data and adoption — the two invisible costs — often outweigh the license.
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Reference
The concepts, tools, and benchmark figures you need to decide: clear definitions and hard numbers.
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Pilot / Proof of Concept (POC): What Is It For?
A pilot is not a showcase: it is a decision tool — brief, quantified, and dated — whose sole mission is to say whether an AI project deserves to scale. And scaling is prepared during the pilot, never after.
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Usable data: the raw material of AI
No clean data, no useful AI: usable data — available, reliable, structured, documented — is the first line in the budget and the schedule. The first project is not AI; it is the data.
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Build or Buy: How to Decide on Your AI
Buying means renting a proven capability; building means funding an asset and its upkeep. For most SMBs and mid-market companies: buy and integrate — custom development is only justified by a proprietary advantage worth protecting.
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AI Use Cases, Defined
A use case is neither "AI" nor a tool: a precise, repeated task where the machine delivers a measurable gain. Six categories to classify, one grid to choose the first case — real, measured, repeated.
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Chief AI Officer (CAIO): Role and Alternatives
A CAIO is not, first and foremost, a title to recruit for, but a function to establish — deciding, prioritizing, framing, measuring. In an SMB it runs without a dedicated position; without it, projects scatter and stall.
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The ROI of an AI Project
The ROI of an AI project is not measured at the end: it is made calculable at the outset. An honest total cost (three components), a net gain read in the books, two horizons — 12 and 24 months. AI pays off for those who know what it replaces.
Read-only snapshot of the Institute's published content as of 2026-10-05.