AI Agents That Do Real Work in Real Businesses

Qeasy AI Agent Smart Reconciliation

Every platform's statement format is different. Finance teams repeat 'manual exports + row-by-row Excel checks' every month, hunting discrepancy causes by hand and allocating shared expenses by gut feel.

A general assistant plus three domain agents — bill parsing, reconciliation and expense allocation — form the agent matrix. Business users state requirements in natural language; agents reconnoiter, write and sandbox-test autonomously, while every business side effect still goes through the existing 'script + job queue' pipeline — rollbackable and auditable.

Three-way matching across platform statements ↔ supply-chain orders ↔ internal accounting runs automatically, with variance amounts and reasons persisted per row and full lineage. For concrete capability metrics and platform coverage, see the /reconciliation page.

Qeasy AI Agent Smart Replenishment

Replenishment relies on manual exports and Excel formulas. Sales, inventory and in-transit data sit in separate systems; every decision lacks a stated basis, and mistakes cannot be traced back.

Three registered agents — a general assistant, a fetch script engineer and a compute script engineer — work together. Sales, inventory, in-transit and product master data converge into one fact foundation; agents guide business users through fetching, formula computation, plan adjustment and replenishment order generation, with a business-language confirmation before every write action.

Every replenishment suggestion is backed by data, formulas and reports, traceable row by row through adjustment history and lineage. Two pipelines are live — 2C self-operated weekly replenishment and office-supply omnichannel replenishment; see the /replenishment page for details.