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.
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.
Invoice created
Delivered
Dispute
Collection
Promise to pay
Payment
- 1Invoice created
- 2Delivered
- 3Dispute
- 4Collection
- 5Promise to pay
- 6Payment
observed process · predictable risks along it
See · Predict · Act · Measure
How the loop applies to accounts receivable.
- 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.
- 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.
- 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.
- 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.
- 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
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.
- 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- Experience
- Executive
- Process owner
- Analyst
- Operator
- Developer
- Admin
- GovernanceProcesario Control
- Identity
- Permissions
- Policies
- Autonomy
- HITL
- Audit
- Model governance
- Cost controls
- OrchestrationProcesario Orchestrate
- Workflow
- AI agents
- Humans
- APIs
- Systems
- RPA
- Events
- Decision
- Recommendations
- Rules
- Policies
- Next-best action
- Optimization
- Explainability
- Confidence
- PredictionProcesario Predict
- Next event
- Remaining time
- SLA risk
- Payment risk
- Delivery risk
- Exception probability
- Anomaly
- Process intelligenceProcesario Discover
- Discovery
- Conformance
- Variants
- Root cause
- Object-centric analysis
- KPI
- Value leakage
- Process contextProcesario Process Graph
- Cases
- Objects
- Events
- Activities
- Roles
- Systems
- Policies
- Decisions
- Relationships
- Outcomes
- Connect
- ERP
- CRM
- Databases
- Files
- APIs
- Event streams
- Documents
- 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.
- 01
Connect
Establish data.
- 02
Understand
Reconstruct process reality.
- 03
Predict
Identify outcomes while intervention is possible.
- 04
Decide
Define the permitted next action.
- 05
Act
Operationalize the response.
- 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.