Agents run whole back-office tasks end to end — invoices, quotations, purchasing, customer support — around the clock, and call a person only for the exceptions that need judgement.

An emailed invoice arrives. The agent reads it, matches it to the purchase order, checks tax, amount and credit terms, posts the journal and confirms to the supplier — step by step, on screen, with no one touching it.
A customer is over the credit limit, so the agent pauses, explains why and recommends an action. A person approves in seconds — and the decision is written to the audit trail.
Hours of manual effort set against AI plus supervision, for the same workflows, month after month.
Use the menu on the left, or the tabs below — every screen is a page of the product, with sample data.





AI team. The AI team at work, with the impact on people-hours.Tasks. Every task the AI team handled, who did it and how long it took.Knowledge. The sources the agents read from, and which roles can see them.Approvals. The few cases that need a person, with the AI’s recommendation.Audit trail. Every decision with its reason and evidence, for audit.
Tasks, people-equivalents and savings on these screens are sample data to show the idea.