Accounts receivable, better orchestrated
Automate routine AR work while directing exceptions to the right people with evidence, ownership, and a clear next step.
Everything that slows AR down, handled
Billing readiness checks
Every invoice is checked for missing POs, approvals, or customer-specific requirements before it goes out, so receivables start collectible instead of getting rejected downstream.
Context-driven collections
Prioritization pulls from account history, promises, and prior disputes automatically, so collectors work the accounts that matter instead of guessing who to call next.
Cash application with exact-match logic
Payments are matched against invoices using deterministic rules first, so clean transactions post immediately and only genuine exceptions reach a human.
Disputes routed with evidence attached
Short-pays and deductions are classified and sent to the right owner with supporting documentation, so cases don't age from unclear ownership.
AI finance agents with defined authority
Configure Finance Agents around the rules, roles, and authority your AR operation already uses. Routine work can progress automatically, while anything outside approved boundaries stays with the people authorized to decide.
One view across every open receivable
Instead of relying on aging balances alone, review exception patterns, resolution status, reconciliation activity, and relevant forecasting inputs together. Finance gets a clearer view of where receivables are getting stuck.
No rip-and-replace, ever
Volopay operates as a layer on top of your existing ERP, bank, and CRM systems, rather than replacing any of them. It connects only the specific data each workflow requires, so your system of record stays intact, and nothing about your current setup needs to change.
Turn complex receivables into seamless workflows
Built for AR automation at scale
Workflow-scoped configuration
Volopay is configured around a defined AR workflow, including its existing rules, exception paths, and authority structure. The initial scope stays specific enough to test against how the process operates in practice.
Representative-case validation
Normal transactions and exception scenarios are tested before broader rollout. This gives finance a more realistic view of how automation behaves across routine cases, edge conditions, and situations requiring judgment.
Controlled parallel deployment
Every outcome is compared to the manual baseline that existed before automation, using concrete measures like cycle time, manual touches, exception age, and collector effort, rather than a general industry benchmark.
Evidence-based scaling
Additional workflows are added only once measured results from the first deployment justify the next step, so scope grows in line with proven value instead of following a predetermined rollout timeline.
Automation mapped to real AR problems
When one payment covers multiple invoices or remittance arrives separately, matching work escalates quickly.
Cash application automation handles deterministic matches first and routes ambiguous residuals for review.
Short-pays, service issues, and commercial deductions often stall because ownership and evidence sit across teams.
Dispute and deduction management keeps the case, supporting context, and next action connected through resolution.
For businesses running receivables across ERPs, banks, CRMs, inboxes, and customer portals, Volopay operates across the handoffs.
Order-to-cash automation helps coordinate work without forcing finance into a system replacement.
Why go the Volopay way?
Manual/legacy approach | The Volopay approach |
|---|---|
Collectors decide who to chase based on memory or gut feel | Prioritization runs on account context, payment history, and existing rules |
Remittance and payment data arrive separately and get matched by hand | Exact matches post automatically; only genuine exceptions reach a person |
Disputes and short-pays sit in email until someone has time | Every case is classified and routed to the right owner with evidence attached |
AR data lives across ERP, bank, and CRM, checked one system at a time | Billing, collections, cash application, and disputes stay visible in one workflow |
Automation claims apply everywhere, accuracy unverified | Performance is measured against your baseline, workflow by workflow, before expanding |
They loved Volopay, you will too
FAQs
Volopay automates recurring work across billing, collections, cash application, and disputes. It progresses routine actions under customer-defined rules, surfaces exceptions with evidence, and keeps human approval in place where judgment or material financial decisions are required.
Yes. Volopay prioritizes receivables using account context and agreed rules, brings customer history, promises, and disputes together, and can progress permitted follow-ups. Strategic accounts, negotiated payment plans, legal issues, and material concessions remain with human owners.
Volopay combines payment and available remittance context, applies exact-match logic and approved customer rules first, then uses reasoning for ambiguous residual cases. Low-confidence, material, or sensitive matches are routed for human review with supporting evidence preserved.
Volopay detects and classifies dispute or deduction signals, gathers supporting evidence, assigns the case to the appropriate owner, and tracks missing information through resolution. Material validity decisions, concessions, write-offs, credit changes, and unusual contractual interpretations remain human-controlled.
No. Volopay is designed as an operating layer around existing systems, including ERP, banks, email, remittance sources, CRM, portals, and spreadsheets. It connects the data and actions each workflow needs while keeping the existing system of record intact.
Volopay uses AI Finance Agents within defined rules, roles, and authority. Deterministic logic handles exact conditions first, customer-specific rules handle known policies, and agentic reasoning supports ambiguous cases. Material judgment, low-confidence outcomes, and sensitive risks remain with humans.
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