Automate Order-to-Cash With AI. Make Every Invoice Earn Its Approval.
By Ehab Al Dissi ·
Watch the Order-to-cash walkthrough
Read the video transcript
Your order shipped on Thursday. It's Monday and nobody has billed it. Here's the automation I would build.
A delivery update triggers a check against the order, the agreed price, and proof of delivery.
In a four-order simulation, two drafts worth one hundred and fifteen thousand dollars went to finance. The other two went on hold.
Commercial operations gets the price mismatch. The warehouse gets the missing delivery proof. Finance approves the exact draft.
Start with ten deliveries. Include a partial shipment and a repeated event. Then measure the time from delivery to approved invoice.
An order ships on Thursday. Sales has the agreed price, operations has the proof of delivery, and finance is still waiting for both on Monday. That delay is a better target for a Chief AI Officer than another chatbot rollout. A delivery update should start the work and give finance a draft with enough evidence to act.
How to automate order-to-cash
Start with delivery events. Match the event to an order line, then compare the contracted amount, currency, quantities delivered, proof of delivery, and any prior invoice. Have rules decide whether the evidence is complete. An AI agent can extract a reference from a free-text carrier note or find the relevant attachment. Ask it to return the original record link and the exact text supporting its interpretation. Route ambiguous matches to an owner.
- Export recent deliveries, orders, and invoices for one warehouse or business unit. Agree with finance on which system holds the approved price and which timestamp determines the billing period.
- Join order and delivery records by a stable identifier. Use explicit rules for partial deliveries, taxes, credit notes, currency, and duplicates. An order number alone will fail if you allow several legitimate shipments against one order.
- Produce an invoice draft only when the required records agree. Include the source links and any assumptions. Route a price discrepancy to Commercial Ops and missing delivery evidence to Operations.
- Send the exact draft for finance approval. Store the source versions and approval against that revision. If the invoice amount or delivery proof changes, return the item for review before posting.
- Reconcile the resulting invoice ID back to the order. Use a unique invoice key and verify the result after any timeout before retrying.
Run the four-order replay
Download replay.py and run python replay.py billing --output billing.csv. The script takes synthetic delivery events and emits a CSV of who should act and why. It exercises the decision logic with fixed records.
| Case | Contract value | Decision |
|---|---|---|
| Two matched orders | $115,000 combined | Finance reviews two drafts. The replay skips a repeated event. |
| Proposed invoice is $3,000 higher | $48,000 | Commercial Ops reconciles the price. |
| Delivery proof is missing | $22,000 | Operations verifies delivery. |
These are fictional order values. The script does not post invoices or connect to an ERP. A real event key must distinguish duplicate events from a new shipment or a correction.
What to measure in week one
Run the workflow beside the finance team for a week on a defined set of eligible deliveries. Compare median and 90th percentile time from recorded delivery to an approved draft. Count drafts that finance would reject and the value of orders held past their deadline. Investigate every duplicate draft and every missing-evidence case that the workflow let through. Agree on the threshold for expanding beyond the first warehouse before you start.
If your company can see every blocked order with its value, evidence and owner by Monday, you have a workflow you can improve. Ask the billing lead to pick one order type and supply ten anonymized examples, including a partial shipment and a repeated delivery event.
Download the Python replay · Download the example CSV