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Procesario

Accounts Receivable · Collections

Predict late payment before the invoice becomes overdue.

Know which receivables are likely to pay late, why, and which action is worth taking — while the invoice is still current.

In developmentFor CFOs, controllers and collections leaders who own DSO and working capital.
INV-48213Acme Supply · €148,200 · due 30 Sep
Invoice issuedDispute resolvedNOWPaid on time 18%Paid ≤ 10 days late 22%60% risk · late paymentPrioritize call · confirm promise-to-pay · human approval requiredPaid 2 Oct · 2 days late · recorded → model
Process trace for INV-48213: observed events Invoice issued, Delivered, Dispute opened, Dispute resolved. At the present moment the case branches into three predicted futures: Paid on time (18%), Paid ≤ 10 days late (22%), Paid 18–24 days late (60%). Risk flagged: 60% risk · late payment. Recommended action: Prioritize call · confirm promise-to-pay (Human approval required). Executed · A4. Realized outcome: Paid 2 Oct · 2 days late. The outcome is recorded and fed back to the model.

The problem

Collections teams work from aging reports: a list of what is already late. By the time an invoice appears there, the customer has gone quiet, the dispute has aged and the cash is weeks away. The evidence that an invoice would pay late — a dispute raised at delivery, an approval variance, a shift in payment behavior — was in the systems long before the due date.

The process

The steps the process takes — and the risks along them.

  1. 1Invoice created
  2. 2Delivered
  3. 3Dispute
  4. 4Collection
  5. 5Promise to pay
  6. 6Payment
Late paymentDispute escalationNon-responseBroken promise-to-payCredit exposure drift

observed process · predictable risks along it

See · Predict · Act · Measure

How the loop applies to accounts receivable.

See
  • Invoices linked to orders, deliveries, disputes, collection contacts, promises and payments as one connected trace.
  • Where cash stalls: which customers, reasons and upstream steps (pricing, delivery, documentation) drive delay.
  • How disputes are born and how long each resolution path takes.
Predict
  • Late-payment probability and expected payment timing per open invoice.
  • Dispute likelihood and non-response risk, with the drivers behind each.
  • Promise-to-pay reliability and customer-level cash-timing outlook.
Act
  • Prioritize the collections queue by cash at risk and intervention window.
  • Create tasks and approved communications — drafted with case context, sent by a person or within an approved envelope.
  • Escalate disputes to the right owner with the evidence pre-assembled.
  • Recommend credit actions for review where exposure is drifting.
Measure
  • DSO on treated versus comparable untreated invoices
  • Cash collected and days accelerated
  • Collection effectiveness by segment and action
  • Dispute resolution time
  • Promise-to-pay kept rate

Predictions and interventions

What a prediction looks like, and what follows it.

Each open case carries a probability, a confidence, the value exposed, its drivers and the remaining intervention window. A recommended action sits beside it, bounded by your policy and the autonomy level your team approved.

The figures shown are illustrative sample data, not customer results. Procesario does not publish generic accuracy percentages.

Late payment riskINV-48213
82%High
Invoice value
€148,200
Expected delay
18–24 days
Intervention window
~6 days
Confidence
calibrated · high

Drivers

  • 1Unresolved dispute
  • 2Approval variance
  • 3Previous payment behavior
  • 4Delayed invoice delivery
model late-payment · horizon 30 dIllustrative example

Measure

Measured on the KPIs you already own.

Treated cases are compared with comparable untreated cases against the baseline established at the start. We do not claim customer improvements without evidence; results are reported from the record with method and period.

Measured againsttreated vs. comparable untreated
  • ΔDSO
  • ΔCash collected
  • ΔDays accelerated
  • ΔCollection effectiveness
  • Δ% receivables overdue
  • ΔDispute rate
  • ΔPromise-to-pay kept

Baselines are established in the Outcome Sprint. Results are reported from the record, with method and period.

Architecture

The same platform, applied to accounts receivable.

Connect reads the systems where the process leaves its trace; Discover reconstructs it; Predict scores the open cases; Orchestrate routes the intervention; Control governs it; Operational Memory keeps the record.

Read the architecture
  1. Experience
    • Executive
    • Process owner
    • Analyst
    • Operator
    • Developer
    • Admin
  2. GovernanceProcesario Control
    • Identity
    • Permissions
    • Policies
    • Autonomy
    • HITL
    • Audit
    • Model governance
    • Cost controls
  3. OrchestrationProcesario Orchestrate
    • Workflow
    • AI agents
    • Humans
    • APIs
    • Systems
    • RPA
    • Events
  4. Decision
    • Recommendations
    • Rules
    • Policies
    • Next-best action
    • Optimization
    • Explainability
    • Confidence
  5. PredictionProcesario Predict
    • Next event
    • Remaining time
    • SLA risk
    • Payment risk
    • Delivery risk
    • Exception probability
    • Anomaly
  6. Process intelligenceProcesario Discover
    • Discovery
    • Conformance
    • Variants
    • Root cause
    • Object-centric analysis
    • KPI
    • Value leakage
  7. Process contextProcesario Process Graph
    • Cases
    • Objects
    • Events
    • Activities
    • Roles
    • Systems
    • Policies
    • Decisions
    • Relationships
    • Outcomes
  8. Connect
    • ERP
    • CRM
    • Databases
    • Files
    • APIs
    • Event streams
    • Documents
    • Email
    • Data platforms

Spans all layers

Operational Memory

The record of what was predicted, decided, done and achieved — read by every layer, written by every action.

  • predictions
  • decisions · edits
  • actions · agent traces
  • outcomes · KPI deltas
  • policy changes

Procesario Outcome Sprint

Do not start with a transformation program. Start with one outcome.

One process. One measurable problem. One working evidence-to-action loop.

A typical Accounts Receivable Outcome Sprint targets one measurable problem — for example DSO on a chosen customer segment — and ends with a live late-payment prediction feed and one governed collections intervention running.

Typical initial scope: approximately 4–6 weeks depending on data readiness and complexity.

  1. 01

    Connect

    Establish data.

  2. 02

    Understand

    Reconstruct process reality.

  3. 03

    Predict

    Identify outcomes while intervention is possible.

  4. 04

    Decide

    Define the permitted next action.

  5. 05

    Act

    Operationalize the response.

  6. 06

    Measure

    Evaluate the outcome.

Start with the outcome you want to change.

Show us one process where delay, risk, rework or exceptions cost real money. We'll explore how Procesario could move from evidence to prediction to controlled action.