Insights
Traditional automation follows fixed rules; AI agents reason about a goal and decide what to do. Here's how the two actually differ, and when each one is the right fit for a business process.
Read articleTimelines vary with scope, but a focused custom AI application commonly takes a few weeks from requirements to a working production version, while larger multi-system projects take longer.
Read articleAI agents automate business processes by combining natural-language understanding with direct, permissioned access to the systems where work actually happens, turning multi-step manual workflows into a single automated interaction.
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