Order-to-Cash is a hard job — and disconnected systems, manual handoffs, and unresolved exceptions make cash conversion slower than it should be. Every sale creates revenue, but revenue isn’t cash in the bank. Across North America, roughly $773B sits tied up in accounts receivable, with an 18-day DSO gap between top-quartile and median performers.
Most finance teams deploy automation to make individual tasks run faster. The real opportunity is autonomous O2C — connecting the work across the full lifecycle so agents can understand context, make permitted decisions, execute workflows, and escalate only when judgment is required.
This executive brief shows how Emagia’s seven specialized AI agents support the Order-to-Cash lifecycle with controlled autonomy and human oversight. It covers where cash gets stuck, how the agents address it, and the practical starting points for your organization.
You’ll learn how to:
- Capture and validate orders across email, PDF, EDI, and portals to reduce downstream disputes
- Support faster, better-informed credit decisions with relevant exposure and customer context
- Prevent billing discrepancies before they become disputes and delay payment
- Prioritize collection efforts where they have the greatest impact on cash conversion
- Structure deduction investigation and surface potentially recoverable claims
- Match incoming payments more efficiently and reduce unapplied cash
- Improve payment visibility and reduce friction between payment activity and cash insight
Read it straight through or jump to the process area where your team feels the most pressure. Either way, you’ll finish with a clear view of how controlled autonomy can improve working capital, cash flow visibility, and operational performance across O2C.
