Fintech · Collections Analytics

Debt collection analytics: who to call first, and what to say when you do.

AI-driven collections analytics — repayment-probability modelling, channel prediction, cadence optimisation, and case prioritisation — so the first call is the right call, and the last call is never the wrong one.

collections-console · portfolio opsLIVE
PORTFOLIO · PORT-Q1-22
Q1 delinquent portfolio
SCOPE
14,220 accts
multi-bucket
PIPELINE CHECKS
Segmentationpending…
Channel assignmentpending…
Compliance pre-checkpending…
Draft generationpending…
Queue readypending…
PORTFOLIO SIGNAL
0.00 · at risk0.50 · warm0.80+ · healthy
REASONING
Cohorts balanced across DPD buckets
High-PTP cohort concentrated to priority channels
MAS contact-timing rules applied
EVALUATING…
$2.4M projected
90-day horizon

What we build

A collections stack that prioritises — and earns the regulator's trust.

Each capability is a production component — not a proof-of-concept — wired into your stack, compliance-checked on every contact, and monitored continuously.

Repayment-probability models

Per-account probability of repayment across cure-curves, vintages, and delinquency stages — calibrated to your own book, not a global template.

Channel + cadence prediction

Best-channel selection (SMS, voice, WhatsApp, email, app-push) with learned cadence per cohort — minimises contact fatigue, maximises response.

Compliance-checked message generation

LLM-drafted messages with tone, disclosure, and language checks — aligned to MAS CCD, FDCPA, TCF, and local equivalents.

Sentiment + response classification

Incoming replies (voice, text, chat) classified into PTP, dispute, silence, broken-promise — with routing to the right next action.

Collector productivity analytics

Collector-level performance, fatigue detection, script-compliance scoring, and coaching-opportunity surfacing — built for ops and HR.

Settlement + offer modelling

Per-account settlement-propensity modelling, optimal-offer recommendation, and policy-cap-aware negotiation guidance — for when cure requires restructure.

Portfolios we analyse

One stack, every recovery motion.

Same segmentation, channel, cadence, message-generation, and response-classification infrastructure — tuned per portfolio. Shared core, per-portfolio models, per-jurisdiction rule packs. Every portfolio listed below runs on the same stack; only the cure curves, contact matrices, and settlement policies change.

01

Retail card collections

Revolving-debt recovery with payment-propensity modelling, soft-bucket + hard-bucket automation, and regulated contact cadence.

02

Personal loan recovery

Term-loan recovery across DPD buckets — early-stage automation, late-stage warm handoff, settlement offers within policy caps.

03

SME working-capital recovery

Business-loan recovery with cash-flow-aware cure paths, restructure modelling, and director-level communication.

04

Mortgage pre-foreclosure

Pre-foreclosure workout modelling — forbearance, loan modification, short sale — with regulator-aligned borrower communications.

05

Auto repossession management

Pre-repossession outreach optimisation, repossession-economics modelling, post-repossession deficiency recovery.

06

BNPL + digital default

Short-tenor recovery with high-volume message generation, chargeback-aware sequencing, and merchant-side recovery coordination.

A walk-through

From portfolio to collector — in five clear steps.

Follow a real Q1 collections run through segmentation, prediction, drafting, dispatch, and warm-handoff. Every step visible to the operator, compliant for the regulator, auditable for your auditors.

PORTFOLIO · PORT-Q1-22
Q1 delinquent book· 14,220 accounts · $8.1M outstanding · multi-bucket
STEP 01 · 05
STEP 01 · SEGMENT
Grouping the portfolio
Splitting overdue accounts into cohorts by DPD, balance, profile, and prior engagement — so the right tactic goes to the right segment.
A
High PTP
31%
31% · strong repayment history
B
Medium
36%
36% · mixed signals
C
Low
19%
19% · poor contactability
D
Disputes
14%
14% · flagged issues

Model families we deploy

No single model covers every contact. So we ensemble.

Each model family covers a distinct decision — who, what, when, how — blending their outputs into one prioritised queue gives you an edge a rules engine can't match.

GRADIENT-BOOSTED TREES
Repayment probability

Per-account probability of full, partial, or no repayment within a horizon — trained on your own book's cure curves.

MULTI-CLASS CLASSIFIER
Channel preference

Best-channel selection per account — combines historical response, communication preference, and device intelligence.

CONTEXTUAL BANDIT / RL-STYLE
Cadence optimisation

Learns the optimal send frequency per cohort to maximise response without triggering contact-fatigue or compliance breaches.

LLM + CLASSICAL ENSEMBLE
Sentiment + response classification

Classifies incoming replies (voice, text, chat) into PTP, dispute, hardship, silence — with confidence scoring and escalation triggers.

Data sources wired into every model

Every signal that moves recovery — integrated.

Pulled in parallel, normalised into a single account schema, versioned alongside the model that consumes them.

Source
What it unlocks
Providers
Loan management systems
Account balance, DPD, payment history, last-action timestamps — the substrate collections runs on.
MambuTemenosFinastraOracle FlexCubeProprietary LMS
Call centre + contact logs
Call records, dispositions, talk-time, collector notes — where the response data lives.
AvayaGenesysNICE CXoneSalesforce Service CloudTwilio Flex
Digital channel logs
SMS, WhatsApp, email, app-push delivery + response data.
TwilioMessageBirdSendGridWhatsApp Business APIApp-push gateways
Payment + aging history
Historical payment patterns, rolled buckets, prior cure events.
Core bankingPayment gatewaysReconciliation systems
Demographic + bureau
Demographic, location, and bureau signals used for treatment allocation.
ExperianTransUnionCBSInternal demographic data
Prior case outcomes
Historical collections outcomes used as training data — settlement-success rates, forbearance performance, deficiency recoveries.
Case managementWorkout historyRecovery-team notes

Evidence per contact

Every message. Every call. Every consent. On the record.

Every outbound contact comes with a timing check, language check, disclosure check, and hand-off trail. Every incoming response is classified, timestamped, and routed. Every audit request exports a complete per-account history in the formats your regulator expects.

  • Per-contact compliance check trail
  • Full channel + cadence history logged
  • Vulnerability-signal audit trail (TCF)
  • Aligned to MAS CCD, FDCPA, FCA TCF, RBI
AUDIT RECORD · ACC-78210
contact.trail v3.1
OutcomeWARM HANDOFF · live
Channel chosenWhatsApp · EN
CadenceTue 10-12 · 2nd contact
Tone classempathy · vulnerability
ComplianceMAS CCD + TCF · pass
Settlement cap50% · within policy
Audit SHAa2c7…8e15

Compliance & governance

Built for treat-customers-fairly regulators — not just recovery rate.

Regulator-ready from day one. Delivery includes jurisdictional rule packs, vulnerability workflows, complaint-handling hooks, and audit trails your compliance team and external regulator will want to see.

Every point below ships with the stack. Not bolted on later.

MAS CCD + local collection codes

Contact-timing rules, language requirements, permitted-channel matrices — pre-configured for each jurisdiction where you operate.

Treating Customers Fairly (TCF)

Vulnerability-aware message generation, hardship-detection cues, and settlement-offer fairness testing — aligned to FCA TCF and equivalent principles.

Consumer-protection law

FDCPA (US), CCA (UK), CCPA analogues, Singapore Consumer Protection Code — controls baked into message-generation and contact-cadence layers.

Data residency + privacy

Per-region data residency, GDPR / PDPA-aligned processing, right-to-be-forgotten workflows for closed accounts.

Contact-compliance monitoring

Real-time dashboards for contact volume, time-of-day compliance, language compliance, and cadence-breach alerts.

Audit trail per contact

Every message, call, response, and decision logged — exportable in regulator-ready formats.

FRAMEWORKS WE ALIGN TO
FDCPA (US)MAS CCDBank Negara collection codeRBI Fair Practices CodeFCA TCFGDPRTCPACREAustralian NCCPConsumer Credit Directive (EU)

Why Axccelerate for collections

Not a dialler.
A prioritised recovery stack.

A dialler dials. A scorecard scores. Our stack predicts who to call, what to say, when to call, and hands the right accounts to the right collector — with every contact compliance-checked.

Feature
Axccelerate
Collections vendor
In-house
Repayment-probability ML models per account
Varies
Varies
Multi-channel preference prediction
Varies
Cadence + fatigue optimisation
LLM-drafted + compliance-checked messages
Collector productivity analytics
Varies
Varies
Settlement + offer modelling
Varies
Multi-language, multi-jurisdiction support
Varies
Varies
Real-time response classification (PTP / dispute / silence)
Varies
Varies
Full audit trail per contact
Varies
No vendor lock-in
Varies

Pricing

Priced to the portfolio, not the account volume.

Collections deployments are custom — we scope against your portfolios, call-center stack, and jurisdictions before quoting.

Launch
Enquirefor pricing
One portfolio

Single portfolio run (retail card OR personal loans OR SME). Segmentation + channel + message generation.

1 portfolio in production
Segmentation + channel prediction
Compliance-checked message templates
Response classification
InsightAX reporting access
Enquire for pricing
Most popular
Scale
Enquirefor pricing
Multi-portfolio operator

Full collections analytics stack across 2-4 portfolios, with collector analytics + settlement modelling.

Up to 4 portfolios
Collector productivity analytics
Settlement + offer modelling
Bi-weekly model reviews
Regulator-ready documentation
Enquire for pricing
Fleet
Enquirefor pricing
Enterprise collections

Dedicated engineering, custom LMS integrations, multi-jurisdictional rule packs, 24/7 ops.

Unlimited portfolios
Custom LMS integrations
Multi-jurisdictional rule packs
24/7 monitoring + on-call
Regional deployment
Talk to us

FAQ

Common questions.

Don't see your question here?

Ask us directly

Glossary

The vocabulary behind every recovery.

A quick reference for the acronyms that show up in collections analytics — the terms your ops, compliance, and regulator will all use.

PTP
Promise to Pay

A commitment from the borrower to pay a specified amount by a specified date — the primary short-term collections success metric.

DPD
Days Past Due

Days elapsed since the earliest missed payment — the primary bucketing variable in collections analytics.

Roll rate
Bucket-to-bucket movement

The percentage of accounts in one delinquency bucket that move to the next bucket in a period — the key leading indicator for portfolio deterioration.

Recovery rate
Post-charge-off recovery percentage

The percentage of charged-off or written-off balance that is ultimately recovered — measured over a defined time horizon.

Cure rate
Return to good-standing rate

The percentage of delinquent accounts that return to good-standing without write-off — typically tracked per DPD bucket.

OD
Overdue

Any account with a payment past due, regardless of DPD bucket.

Write-off
Balance-sheet removal of loss

The accounting action of removing a defaulted loan from the balance sheet as an expected loss — typically at 180+ DPD for unsecured.

CDR
Cumulative Default Rate

The cumulative percentage of a vintage's accounts that have defaulted over a given period — used for portfolio-health comparisons.

Forbearance
Temporary payment relief

Temporary agreement to pause or reduce payments, typically offered during financial hardship — regulated in most jurisdictions.

Restructure
Permanent loan modification

Permanent modification of loan terms (rate, tenor, principal) to make payments sustainable — requires both parties' agreement.

Workout
Cure-negotiation process

The end-to-end process of negotiating a cure or recovery strategy with a delinquent borrower — covers forbearance, restructure, settlement, and charge-off.

TCP
Treating Customers Professionally (FCA)

FCA's predecessor to TCF; still used informally to describe conduct-aware collections.

Conduct risk
Customer-harm risk

The risk of customer harm resulting from business practices, policies, or staff behaviour — a central theme in modern consumer-credit regulation.

FDCPA
Fair Debt Collection Practices Act (US)

US federal law governing third-party debt collectors — timing, language, disclosure, and harassment controls.

MAS CCD · FDCPA · TCF aligned

Your collections queue, prioritised.

30-minute scoping with a senior engineer and an ex-collections operator. Portfolio diagnostic, integration plan, realistic rollout.