Agentic AI for order to cash
One order. Five teams. A shared plan.
Before any AI order to cash automation, map the full journey. An order can look correct in sales and still reach finance with a delivery dispute. Use Canvas to plan the full journey, connect department responsibilities and choose one handoff to test first.
Illustrative workflow to plan
Plan the full journey. Pilot one exception handoff.
Select a step to follow the handoff. People keep the decisions marked for human review.
Sales confirms the promise
Sales owns agreed prices, terms and customer commitments in the proposed CRM handoff.
Human review belongs in this handoff.
Illustrative example: a revised order promises 100 units, delivery evidence shows 80 and the invoice charges for 100. A proposed assistant assembles the conflicting records. Order operations confirms the accepted revision, fulfilment verifies the shortage, finance approves any billing correction and support approves the customer response. Canvas plans these handoffs; it does not connect to CRM, ERP or warehouse systems or execute transactions.
An exception rarely belongs to just one system.
Sales commitments, order records, delivery evidence and invoices can disagree. The first planning job is to name the authoritative source for each fact and the person who resolves a conflict. A proposed assistant might assemble evidence and draft an exception summary; it must not silently choose which promise to honour.
Process context: SAP describes sales orders, delivery and billing within quote to cash. This illustrates the underlying business journey, not a Canvas integration or SAP endorsement.
SAP: Quote to CashBring the evidence behind the idea.
- Sanitized versions of one order, its sales agreement, delivery record and invoice, with source owners and timestamps.
- A responsibility map for sales, order operations, fulfilment, finance and support, including unresolved exceptions.
- Access assumptions, approval limits, current rework and a baseline for exception resolution time.
Turn discovery into a reviewable plan.
Model the end-to-end journey in the Agentic Brain, then prepare a blueprint for the department owners to review. Stage one could test evidence summaries for delivery-to-invoice mismatches with manual review. Expand only after source access, summary quality and exception ownership are validated; integration and execution require separate implementation.
Define what would make it worthwhile.
Agree shared measures for exception age, rework, invoice accuracy and customer follow-up. Track reviewer effort and false mismatch alerts alongside cycle time. Use the current process as a baseline, and let department owners set pilot thresholds before considering expansion.
Your first conversation
Start with a brief like this.
Help us map order to cash across sales, order operations, fulfilment, finance and support. Orders, delivery records and invoices sometimes conflict. We want to pilot evidence summaries for one delivery-to-invoice exception, with people approving every financial adjustment and customer commitment.
Adapt this example and bring it to the home-page conversation. The button opens the home page; it does not fill in the brief.
Start planningBefore you start
Do we need to automate the whole journey?
No. Map the whole journey to reveal dependencies, then pilot one handoff. Keep the existing process and approval owners until an implemented change has been reviewed and validated.
Can Canvas change invoices or release orders?
No. Canvas prepares a planning model and artifacts. System access, transaction controls and approval enforcement must be separately designed, implemented and tested.
What should you automate first in order to cash?
One handoff, not the whole journey. Pick the handoff where context is most often lost, name its exception owner and test it as a staged pilot.