Rex

AI agents that run order-to-cash operations

Fintech

Artificial Intelligence

Accounting

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order-to-cash is a good pick for agents specifically because the steps are so repetitive and rule-bound most days, and the exceptions are usually well-defined too. since this touches real invoices and payments, does finance get a full audit log of every action the agent took, or just the summary result? that matters a lot when someone has to explain a discrepancy to an auditor later.

One thing I'd love to see is a built-in simulation mode where you can run the agents against historical invoice data to predict how many exceptions they'd catch before going live. Would make the ROI pitch much easier when rolling this out to finance leadership.

Love that Rex tackles the whole order-to-cash loop instead of just one slice of it. One thing that would help us evaluate it faster: a sandbox mode with pre-loaded sample invoices and dispute scenarios so we could watch the agents work through edge cases without touching real customer data.

the way rex tackles exceptions before cash actually gets stuck shows really thoughtful sequencing, like the team actually understood how messy ar workflows get in practice

Took Rex for a spin on a messy test account and the exception handling actually caught a duplicate invoice flag our team missed. Pretty solid for enterprise scale.

Order-to-cash is exactly where agent work needs boring reliability. Idempotency, audit trails, and clear exception handling matter more than a flashy demo, because a duplicate invoice or missed handoff turns automation into operational debt very quickly.

One thing that would help us a lot is a built-in dashboard showing which exceptions Rex resolved vs. flagged for human review, so we can track accuracy over time and identify any patterns in the cases it escalates.

The exception-handling angle caught my eye, since most AR tools just chase dunning emails. Curious how the agents handle messy real-world disputes vs clean test cases.

you asked for it, so: what's the actual failure mode when an agent gets a judgment call wrong on a real invoice, does the customer just get an incorrect collections notice before a human catches it, or is there a hold step before anything customer-facing goes out

Finally gave Rex a spin with some messy test invoices and it actually flagged the FX mismatch before the cash hit the bottleneck. Slick setup if you deal with cross-border invoicing headaches.

Congrats on the launch @merlin_kafka! The Order-to-Cash process is notoriously tricky because writing incorrect data back into an ERP like NetSuite can wreck month-end close or mess up revenue recognition schedules.

When Rex agents handle exception resolution (like applying partial cash or mapping unmatched remittances), does the system maintain an immutable, step-by-step audit trail of the agent's reasoning right inside the ERP/CRM, or does it operate via a separate proxy logging layer for finance auditors?"

Order-to-cash is a great wedge for agents — high-volume, judgment-heavy, and the "copy from portal → NetSuite every single day" drudgery you described is exactly where automation historically fell over. Taking you up on the "ask what they get wrong" invite @merlin_kafka:

How do the agents decide the boundary between acting and routing to a human — a confidence threshold, a fixed policy per action type, or something learned?

On portal uploads specifically — I do a lot of browser automation against sites that change without warning, and that's usually where things get brittle. How do you keep those flows stable across hundreds of customer portals?

And since a wrong AR action touches real money, how do you eval that an agent did the right thing before it goes out?