 While corporations run pilots and approve budgets, mid-sized businesses have already deployed AI agents into production. I've broken down three cases from recent news — no abstractions, just concrete results. First — a bank that launched a multi-agent system for processing loan applications. The architecture is simple: one agent collects documents, a second verifies them, and a third makes the decision. Processing time for a single application dropped from several hours to minutes. Decision quality hasn't declined — the agents use the same scoring models as humans, but without human error or end-of-shift fatigue. Second case — from retail. A hypermarket chain put AI agents in charge of supply chain management. The agents monitor inventory around the clock, cross-check with weather forecasts and holiday calendars, and automatically generate orders for suppliers. Manual work in the procurement department has been reduced so much that some employees were retrained as analysts. Product shortages on shelves are nearly zero. Third — a manufacturing company that handed over operational management of its workshops to AI agents. Task allocation, machine load monitoring, resource redirection during breakdowns — all of this is now handled by the agent. Middle managers have been freed from operational tasks and focus on strategy. Meeting time has been cut significantly. Common denominator across all three stories: AI agents don't replace people; they take over routine tasks. And to launch such an agent, you don't need to build a data center — modern platforms allow you to assemble a working solution without a team of developers. Ready to try? On ASI Biont, you can launch your first AI agent right now. The first 1500 tokens at startup — so you can test immediately instead of guessing. Go to asibiont.com.