Guides, analysis and field notes on enterprise AI, autonomous agents and digital sovereignty.
Your employees are probably already using AI tools that IT has not approved. Banning them only moves the problem: here is how to m...
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Sensitive data, latency, costs, hardware: running AI on-premises meets specific needs, but not all of them. Here are the criteria...
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Replacing several AI subscriptions with a single platform can simplify the bill, but not in every case. Sourced prices, quotas, da...
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Calculating the ROI of an AI project requires knowing what goes into the numerator and the denominator, and establishing a baselin...
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Frame, pilot, then measure and scale: in 90 days, an SME can go from an audit to an evaluated pilot. This guide details the phases...
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Map, choose, prototype, secure, deploy: five steps recur in guides on handing a business process over to an AI agent. This article...
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Copilot, Gemini, Slack AI, connectors, webhooks, MCP: there are several ways to connect an AI to your office productivity and mess...
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The Model Context Protocol (MCP) standardizes how AI assistants connect to enterprise tools. Definition, how it works, differences...
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No-code or AI generation: two paths exist for creating an application without writing code, with different logics. This guide deta...
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