Accounts Receivable & Collections
Getting paid on time is a process, not a hope. Yukti tracks every open invoice, ages it automatically, and follows up before it goes cold.
How Yukti Handles This
Aging buckets and follow-ups escalate automatically
Every customer invoice carries payment terms, and Yukti's aging report buckets open invoices into current, 30, 60, and 90-plus day categories without anyone running a manual report. Follow-up sequences escalate on their own: a reminder shortly after due date, a firmer notice at 30 days past due, and an internal alert once an invoice crosses a threshold you define.
Customer context sits on one record, not scattered
Customer statements, credit limits, and payment history live on the same customer record as the sales order and the support ticket. A collections call starts with full context instead of a finance person hunting across systems for what was actually delivered and when.
The aging report recalculates the moment status changes
Yukti buckets every open invoice into the standard structure, current, 1 to 30, 31 to 60, 61 to 90, and 90-plus days past due, and recalculates it the moment an invoice status changes. A finance lead pulling the report on a Tuesday afternoon is looking at receivables as of that afternoon, not last month's close.
DSO trend and bucket distribution flag risk early
Two companies can carry the identical DSO number while one has receivables spread evenly across current and 30-day buckets and the other has a growing concentration sitting in 90-plus. Yukti reports both the DSO trend and the bucket-by-bucket distribution, and credit limits enforce at the point of sale, flagging a customer before a new order confirms.
Where This Connects to the Rest of Your Books
Receivables trace back to Sales and CRM
Every invoice traces back to a sales order or a delivery, so a collections conversation can answer what was shipped and when in one click. CRM sits alongside it, giving a collections call the full customer relationship in view instead of starting cold with just an invoice number and a balance.
Bank reconciliation keeps the aging list honest
An invoice stays open until a matched bank payment actually closes it, which keeps the aging report honest. If reconciliation and receivables ran as separate systems, a customer who paid two weeks ago could still show up on a past-due collections list.
Where the AI agent helps
The agent scores each open invoice by how likely it is to pay late, based on that specific customer's payment history rather than a generic days-past-due rule.
Times follow-up emails for when that customer has historically responded
Drafts the follow-up copy itself for staff to review and send
Prioritizes the collections queue by real payment risk, not just age
See What This Could Save Your Team
Accounts receivable collections
You could save ~50.0 hours/month
Wakefield Research/Billtrust 2025 (commissioned survey of 500 finance decision-makers): 75% of companies using AI in accounts receivable reported DSO reductions of 6+ days; Hackett Group reports an 8.4-day average reduction. Base case modeled at 10 days.
Bank reconciliation
You could save ~3.8 hours/month
Based on documented ERP implementation efficiency benchmarks: bank reconciliation and synchronization activities typically see a 25% efficiency gain when AI auto-matches routine transactions to bank statement lines, leaving staff to review only the exceptions.
Financial reporting
You could save ~1.5 hours/month
Based on documented ERP implementation efficiency benchmarks: standard and customized financial reporting typically sees a modest 5% efficiency gain, since pulling live data is faster but reviewing and interpreting the numbers stays a human task.
Tax calculation and compliance
You could save ~0.9 hours/month
Automatic tax rate application and GST/VAT compliance reporting replace manually looking up and applying the correct rate on each transaction.
Fixed asset tracking and depreciation
You could save ~2.7 hours/month
Automatic depreciation schedules calculated against each asset replace recalculating depreciation manually in a spreadsheet every period.
Financial audit trail and documentation
You could save ~1.3 hours/month
A complete, automatically maintained audit trail with user tracking and document versioning reduces the time spent reconstructing financial records when an audit request comes in.
General ledger and journal entry classification
You could save ~3.8 hours/month
No independently-verified third-party study measuring general ledger coding and journal entry classification time savings specifically was found during research. This uses an internal working estimate: AI-suggested account coding and recurring journal entry templates reduce the manual classification work that otherwise piles up before month-end close, since routine entries no longer need to be coded from scratch by hand.
Accounts payable invoice processing
You could save ~15.0 hours/month
Ardent Partners State of ePayables research: the average cost to process an invoice manually is $9.84, while Best-in-Class AP teams process invoices at costs 79% lower, driven largely by less manual data entry, matching, and exception handling per invoice. Modeled conservatively at a 40% reduction in per-invoice processing time rather than the full 79% ceiling.
Multi-currency FX rate updates and revaluation
You could save ~2.0 hours/month
No independently-verified third-party study quantifying time savings from automating multi-currency FX rate updates and revaluation specifically was found during research. This uses an internal working estimate: automatic daily exchange rate feeds and automated revaluation entries replace manually looking up and applying the correct rate for every foreign-currency transaction, leaving staff to review the resulting revaluation journal instead of building it by hand.
Budget vs. actual variance reporting
You could save ~4.2 hours/month
No independently-verified third-party study quantifying time savings from automating budget-vs-actual variance compilation specifically was found during research. This uses an internal working estimate: real-time budget tracking against posted actuals removes the need to manually export general ledger data and rebuild a variance view in a spreadsheet for every cost center each month.
GST return prep and e-invoice generation
You could save ~8.0 hours/month
Billentis e-invoicing report (a widely cited industry benchmark on e-invoicing economics): moving from manual/paper invoicing to structured electronic invoicing delivers 60-80% total cost savings, with invoice-issuer savings averaging EUR 6.40 per invoice. Cost savings include more than labor time, so this calculator applies a conservative 40% reduction in per-invoice processing time. In India, GST e-invoicing under the GSTN Invoice Registration Portal (IRP) framework increasingly lets GST return data auto-populate from e-invoice records instead of separate manual entry.
Multi-company consolidation and inter-company elimination
You could save ~4.8 hours/month
No independently-verified third-party study quantifying time savings from automating multi-company consolidation and inter-company elimination specifically was found during research. This uses an internal working estimate: automated inter-company matching and elimination rules replace manually tracing the same transaction across each entity's books and removing it by hand before consolidated statements can be produced.
Total: ~97.9 hours/month, ~$3,260/month
Common Questions
How does Yukti calculate DSO, and can we see it by customer segment or just as one company-wide number?
DSO calculates from total accounts receivable divided by average daily credit sales over the period you choose, and Yukti reports it both as a portfolio-level trend and broken down by customer, segment, or sales channel, since a single blended DSO number can mask a subset of customers whose payment behavior is actually deteriorating.
What triggers a collections follow-up, and can we customize the schedule?
You define the schedule: a reminder shortly after the due date, a firmer notice at a threshold like 30 days past due, and an internal alert to the account owner once an invoice crosses a limit you set. None of it is hardcoded, so a business with net-15 terms and one with net-60 terms can run entirely different escalation timing.
Does a customer's credit limit actually block a new order, or is it just a warning?
Both are configurable. A customer approaching or exceeding their credit limit can be flagged for a sales rep to review and override, or the order can be blocked from confirming entirely until the balance is addressed, depending on how much control you want to put in a rep's hands versus finance's.
How do we know an invoice is actually paid, not just marked as sent or overdue?
An invoice only moves out of the aging report when a matching bank payment clears through reconciliation, tying the invoice to an actual deposit rather than to a status someone updated manually. That connection to bank reconciliation is what keeps collections working from a genuinely current list instead of chasing customers who already paid.
Can the person doing collections see more than just the invoice, like support tickets or CRM notes?
Yes. Customer statements, credit limits, payment history, sales orders, and support interactions live on the same customer record, so a collections call starts with context on the relationship, not just a balance and a due date.
See Accounts Receivable & Collections in Yukti
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