Author: Ferrata Labs Team Category: Finance Operations Image alt: Finance team reviewing cash position exceptions in an ERP workflow
Your cash forecast says one thing. The bank balance, unapplied cash queue, disputed invoices, payment runs, and open purchase commitments say another. The gap is rarely a treasury-model problem alone. It is execution work scattered across ERP records, inboxes, customer portals, spreadsheets, and people who know which exceptions matter.
To improve cash positioning, finance needs more than another dashboard or a generic copilot that summarizes a report. It needs controlled workflow execution: finding the transactions that move available cash, preparing the next action from system-of-record data, and routing decisions to the right owner under explicit approval rules.
How to Improve Cash Positioning With Controlled Workflows
Cash positioning improves when finance reduces the time between a cash-relevant signal and a governed action. Start with receivables, payables, and reconciliation work where teams already have defined policies, recurring transaction volume, and an identifiable owner. The objective is not autonomous finance. It is faster, traceable execution with humans retaining judgment where it matters.
Key Takeaways
- Cash visibility improves when unapplied cash, collections risk, payment exceptions, and committed spend are handled as operational workflows, not reporting exercises.
- The best first use case has a clear baseline, a high-volume queue, reliable ERP data, and a named business owner.
- Human approval is a control, not a concession. Thresholds, exception categories, and escalation paths make automated work auditable.
- SaaS tools and copilots can help with analysis and task assistance, but they often stop short of acting inside the ERP workflow.
- A production agent should be evaluated on live-like transactions, logged decisions, and an operating metric that finance recognizes.
The Cash Position Is Only as Current as the Work Behind It
A daily cash report can be accurate at the moment it is produced and still be operationally stale. A customer may have paid without remittance detail. A deduction may have been received but not resolved. A supplier invoice may be ready for payment but blocked by a mismatch. A purchase order change may alter expected outflows before anyone updates the forecast.
These are not edge cases. They are the transaction queues that shape the quality of the cash view. Improving the position means improving how quickly the organization classifies, resolves, approves, and records those transactions.
Receivables is usually the most direct place to start. Sterling, a receivables workflow agent, can organize account evidence, identify recovery candidates, rank work by recovery odds, and prepare collection actions for owner review. It should not invent a collections policy or send a high-stakes message without authorization. Its value is making the right next action visible and ready inside the established process.
Payables can matter just as much, particularly where duplicate invoices, three-way-match exceptions, early-payment terms, and payment holds create avoidable outflows or unreliable forecasts. Clark, a payables workflow agent, can surface duplicate risks, assemble supporting documents, and apply defined tolerance rules before routing an exception to an approver.
Reconciliation closes the loop. Tally, a reconciliation workflow agent, can match records according to approved rules, flag unresolved variances, and document the evidence behind proposed matches. Until cash is correctly applied and exceptions are explained, the cash position is not settled enough to manage confidently.
Where Workflow Agents Fit – and Where They Do Not
A reporting platform is appropriate when the underlying transactions are clean and the main need is consolidated visibility. A copilot can be useful when an analyst needs help drafting commentary, retrieving policy language, or understanding a variance. Neither is necessarily the wrong choice.
The limitation appears when the work requires checking multiple records, applying company rules, creating a proposed ERP action, obtaining approval, and recording the final outcome. That is a workflow problem. It needs permissions, system integration, evaluation scripts, audit trails, and a runbook for exceptions.
In short: use reporting and copilots to improve understanding. Use governed workflow agents when the constraint is repeated execution across systems of record.
| Approach | Best use | What it does not solve alone | Cash-positioning implication |
|---|---|---|---|
| BI dashboard | Trend reporting and forecast review | Resolving transaction queues | Shows the gap after it exists |
| Generic copilot | Research, summaries, and drafting | Controlled action in ERP workflows | Speeds analysis, with variable execution impact |
| Manual shared-services process | Complex judgment and unusual exceptions | Consistent speed at high volume | Depends on capacity and local knowledge |
| Governed workflow agent | Repeatable, policy-bound transaction work | Undefined policies or poor source data | Shortens the path from signal to controlled action |
Build Approval Rules Into the Work, Not Around It
The question is not whether an agent can identify an invoice exception. The question is what happens next, who can approve the outcome, and what evidence is retained. A finance team should define these controls before production deployment.
Consider an illustrative cash-application exception. Tally finds a $47,500 wire that matches a customer account but lacks remittance detail. The agent may propose an application where confidence meets the documented matching rule, but it cannot post the entry. The cash applications manager owns the review. If the item remains unresolved for two business days or the proposed match crosses a $25,000 approval threshold, it escalates to the AR director with the payment record, invoice candidates, matching rationale, and prior account history attached.
That design creates accountability without forcing the team to reassemble evidence manually. Every proposal, approval, rejection, and escalation should be recorded. The approval threshold is not merely a technical setting. It is a finance policy expressed in the live workflow.
Improve Cash Positioning by Starting With One Measurable Queue
Do not begin with a broad mandate to automate treasury. Choose one queue that has enough volume to matter and enough structure to govern. Common candidates include unapplied cash, disputed receivables, blocked invoices, duplicate-payment review, and reconciliation exceptions.
Set the baseline first. That may be the age of unapplied cash, the backlog of payment exceptions, the time to resolve a matching break, or the share of collection work receiving a documented next step. The measure depends on the process. It should be an operating metric, not a vague claim about productivity.
Then document the current decision path. Identify the source records, required evidence, business rules, exceptions, approvers, and final ERP action. If the policy is inconsistent, an agent will expose that inconsistency quickly. That is useful, but it means policy work may be required before automation can be trusted.
Ferrata Labs works from this execution-first premise: connect governed agents to the systems teams already run, put them through evaluation against representative transactions, and bring the first live agent into production in under 90 days where the workflow and access are ready. After handover, the client owns the workflow and the operating knowledge behind it. The secured path matters because finance cannot trade control for speed.
What to Test Before a Cash Workflow Goes Live
A convincing demonstration is not enough. Test the agent against transaction conditions it will actually face: missing remittance, conflicting customer references, stale master data, partial payments, duplicate invoice patterns, and exceptions that should stop rather than proceed.
Evaluate both accuracy and behavior. Did it retrieve the correct records? Did it apply the approved rule? Did it escalate at the right threshold? Did it avoid an action when evidence was insufficient? Can an auditor reconstruct what it saw and why the action was proposed?
This is also where a runbook earns its place. Define the fallback path for failed integrations, low-confidence cases, changed policies, and unusual transaction types. A workflow agent should reduce operational burden, not create a new class of opaque finance exceptions.
FAQs
What does it mean to improve cash positioning?
It means increasing the reliability and timeliness of the organization’s view of cash available, expected inflows, and expected outflows. In practice, that requires resolving the transactions that distort the picture, including unapplied receipts, disputed invoices, payment exceptions, and unreconciled balances.
Should finance automate collections before payables?
It depends on where the material constraint sits. Collections is often a strong first target when overdue invoices, deductions, or missing follow-up delay cash conversion. Payables may be the better choice when duplicate risk, blocked invoices, or unmanaged payment timing creates greater exposure or forecast uncertainty.
Can a copilot improve cash positioning?
Yes, when the primary need is analysis, policy retrieval, drafting, or variance explanation. A copilot is less suitable when the work requires gathering ERP evidence, applying rules consistently, creating a transaction proposal, routing approval, and logging the final decision across a recurring queue.
Does a workflow agent need authority to post transactions?
Not necessarily. Many finance workflows create value by preparing evidence, classifying exceptions, drafting actions, and routing approvals while a human retains posting authority. Posting rights should follow the risk level, quality of controls, and established policy, not the desire to make automation appear more advanced.
What approvals should remain with people?
Keep approvals with people where policy requires judgment, financial exposure is material, data confidence is low, or an action creates an external commitment. Examples include high-value write-offs, payment releases above a threshold, nonstandard collection settlements, and exceptions involving legal, compliance, or customer relationship risk.
What data is needed for a first cash workflow agent?
At minimum, the workflow needs access to the relevant ERP records, documented business rules, a clear action path, and an accountable process owner. Supporting sources such as remittance files, customer correspondence, bank data, and policy documents may also be necessary, depending on the exception type.
How do we know whether the agent is working?
Measure the workflow outcome defined before deployment, then review agent decisions against approved evaluation cases and live operational samples. Finance should monitor queue age, resolution time, exception rate, approval outcomes, and rework. The right metric is specific to the process and visible to its owner.
Next Step
Pick one cash-relevant queue this week and name its owner, baseline, approval threshold, source records, and escalation path. If those five items cannot be stated clearly, the problem is not ready for automation yet. If they can, you have the foundation for controlled execution that makes the cash position more current without replacing the ERP your business already depends on.