Cash Application

Apply every payment, with nothing left in suspense.

Remittances arrive as PDFs, emails, spreadsheets, or not at all. Karini AI agents apply each payment by your SOP and show exactly where any payment stalled.

Written for
Controller
Also in the room
AR manager and cash application team
Governed by
Cash Application Exception Handling SOPCA-OPS
Each step, and how it fails. Together, the failures form the queue.

DSO rises even when customers pay on time.

The payer isn't in the customer master. The amount matches several invoices, or none. A short pay comes with a one-line reason.

Until someone reconciles it by hand, cash sits unapplied, with no record of why.

These are the agent names you'll see in the log.

The agents, in the order they run.

Eight agents run in order, from reading the remittance to posting. Each logs its output, so a stalled payment shows exactly where it stopped.

When a person decides, the decision feeds back into the chain, so the audit trail never breaks.

See it in action.

A held payment opens with the remittance, the proposed match, the variance, the deduction reason and the SOP rule that held it. The reviewer fixes the match, rules on the deduction or reassigns the payer.

The agents finish posting, and the payment closes with one audit trail.

Variance is a range, not a yes or no.

Within 2% and no dispute, the payment applies automatically. Between 2% and 5% with a clean history, a named approver decides. Above 5%, or when invoices don't add up, it holds.

These rules come from a reference SOP. On your ERP, you set the thresholds in your SOP.

Cash application rules

Cash application rules. One row per SOP rule: the code, when it applies, the decision, and the approval level.
ScenarioWhen it appliesDecisionApprovalSOP section
The payment matches the invoice amount exactlyAUTO_APPLYNo approver requiredCash Application Scenario Dispatch
Payment variance at or below 2%, with no dispute flagsAUTO_APPLYNo approver requiredCash Application Scenario Dispatch
Payment variance 2% to 5%, with clean customer historyESCALATELevel 2Cash Application Scenario Dispatch
Payment variance above 5%, or several invoice references that do not resolveHOLDLevel 3Cash Application Scenario Dispatch
A dispute flag is raised, or the account has chargeback historyHOLDLevel 3Cash Application Scenario Dispatch
No invoice reference, or the remittance could not be identifiedESCALATELevel 4Cash Application Scenario Dispatch
The payment exceeds the invoice total by more than 10%HOLDLevel 3Cash Application Scenario Dispatch
DecisionsAUTO_APPLYCash applied and posted by the agent.ESCALATESent to the approver at the level the SOP sets.HOLDNothing moves until the blocking condition clears.

How to get started.

Four steps. Only the first needs your process owner.

  1. Review your SOP with a Karini AI engineer

    Our forward deployed engineer works with your process owner and queue team to turn your SOP into a clear spec: rules, thresholds, approval levels and gaps.

    The gaps matter most. Where your SOP is silent, the queue is being worked from memory.

    You bring

    The SOP that governs the process today, in whatever state it's in.

  2. Connect the workflow and your ERP

    Your SOP becomes the workflow the agents follow. We connect through APIs, governed screen access where there's no API, and email intake.

    Your ERP stays the system of record. Nothing is migrated or replaced.

    You bring

    An environment to connect to, and the person who owns access.

  3. Test against your own history

    Every rule runs on your past exceptions first. You see which rule each case hit, and fix the SOP where it's wrong.

    Fixing it here costs an SOP edit, not a reversal.

    You bring

    A sample of closed cases, including the awkward ones.

  4. Deploy to production

    Live in your environment, behind your approval levels, with the audit trail on from day one.

    The next use case starts at step one with its own SOP, not a new project.

Bring your SOP. We'll run it against your queue.

Pick one use case. If the rules are written down, agents can follow them. If not, we write them together in the first session.

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