Intelligence That Collects Before Debt Exists
Credit risk in subscriber-based businesses is not created at billing it is created through delayed actions, fragmented data, and lack of visibility across subscribers, partners, and services. The AI-Integrated Credit Control Management System by In Centre Solutions is engineered to prevent revenue loss before it happens, not after it is written off. Deeply embedded within our Subscriber Management System (SMS), this solution continuously analyzes subscriber behavior, payment patterns, service usage, partner exposure, and historical risk signals. Instead of static credit limits or manual follow-ups, the system dynamically adjusts controls, enforces rules in real time, and orchestrates automated recovery workflows across DTH, CATV, IPTV, OTT, VOD, Triple Play, and Local Cable Operator ecosystems. From subscriber-level risk scoring to LCO and distributor exposure management, the platform transforms credit control into a predictive, self-governing revenue protection layer ensuring cash flow discipline without compromising customer experience.
Architecting Credit Discipline Into Subscriber Operations
This AI-Integrated Credit Control Management System embeds financial governance directly into your subscriber lifecycle ensuring risk awareness, policy enforcement, and revenue protection operate continuously and intelligently in the background.
AI-Driven Credit Risk Scoring
Real-time credit risk scoring for subscribers, LCOs, distributors, and agents
Behavior-based scoring using payment delays, recharge gaps, usage drops, and complaints
Continuous score recalibration without manual intervention
Dynamic Credit Limit Management
Auto-adjusting credit limits based on risk score and payment discipline
Separate credit limits for subscribers, LCOs, distributors, and enterprise accounts
Temporary credit extensions with automatic expiry logic
Pre-Dunning Intelligence Engine
AI identifies accounts likely to default before the due date
Early soft alerts triggered for high-risk profiles
Preventive nudges to reduce risk instead of post-failure recovery
Automated Dunning & Recovery Workflows
Rule-based reminder cycles via SMS, WhatsApp, in-app notifications, and IVR
Escalation paths triggered based on non-response
Automatic handover to field collection or partner teams
Real-Time Service Control & Enforcement
Automated partial or full service restriction based on credit policy
Grace period enforcement without human intervention
Intelligent throttling instead of abrupt disconnection
LCO & Distributor Exposure Control
Live visibility into partner-wise outstanding exposure
Automatic blocking of downstream activations when credit limits are breached
Hierarchical credit enforcement across partner chains
Field Collection Alignment Module
High-risk accounts automatically assigned to field agents
Geo-tagged recovery visits for accurate tracking
Priority routing based on exposure value
AI-Powered Aging & Recovery Analytics
Predictive aging buckets for forward-looking analysis
Forecasted bad-debt risk dashboard
Recovery probability scoring per account
Policy Engine & Rule Orchestration
Configurable credit policies per service, region, or partner
Time-based, value-based, and behavior-based rules
No code changes required for implementation
Exception & Override Governance
Controlled overrides with an approval matrix
Full audit trail of manual interventions
AI learns from override outcomes to improve future decisions
Finance & Billing System Sync
Seamless integration with billing, invoicing, and accounting systems
Real-time outstanding reconciliation
Zero manual data duplication
Compliance, Audit & Control Logs
End-to-end credit decision auditability
Regulatory and internal compliance readiness
Tamper-proof activity logs
what are the benefits of using our credit control management system
This AI-Integrated Credit Control Management System embeds financial governance directly into your subscriber lifecycle ensuring risk awareness, policy enforcement, and revenue protection operate continuously and intelligently in the background.
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