Debt Collection Software Platform for LATAM
Lenders and collection agencies in Latin America still run portfolios on manual dialers, fragmented CRMs, and static scripts. Velttora builds debt collection software that orchestrates the full recovery cycle — from ingestion to payment plans, digital contact, and escalation.
CobraAI is our intelligent collections operating system: portfolio scoring, channel orchestration, and next-best-action workflows designed for LATAM regulation, language, and payment behavior.
The problem with legacy collection operations
High delinquency, rising cost per contact, and low right-party-connect rates make manual collection unsustainable. Teams lack unified views across voice, WhatsApp, email, and legal paths. Supervisors cannot see which strategies actually recover balance versus burn agent time.
Modern collection software replaces guesswork with data-driven prioritization, compliant templates, and measurable conversion at each stage of the recovery funnel.
What the platform includes
- Portfolio import, segmentation, and risk scoring
- Omnichannel outreach orchestration (voice, messaging, email)
- Payment plan and settlement workflow automation
- ERP and core banking integrations for real-time balance sync
- Supervisor dashboards for recovery rate, DSO, and agent productivity
- Audit logs and compliance guardrails for regulated markets
Why LATAM-first architecture matters
Recovery in Mexico, Colombia, Brazil, and the broader region requires native Spanish and Portuguese UX, WhatsApp-first engagement patterns, and workflows aligned to local legal escalation. Velttora builds for those realities from day one — not as a US product translated later.
Who uses this software
- Consumer and SME lenders
- Fintech credit and BNPL operators
- Third-party collection agencies (BPO)
- Debt buyers and specialty finance teams
FAQ
Yes. API-first design supports batch and real-time sync with lending cores and CRM tools.
Yes. Omnichannel orchestration includes messaging channels common in LATAM collections.