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Zafin

AI-driven product, pricing, and billing platform built for banks.

SaaS
01 — Overview

What Zafin does

Zafin is a technology firm built specifically for banks and credit unions, not for family offices or private wealth managers. Its platform addresses a problem that affects large financial institutions: the disconnect between product configuration, pricing promises, and billing execution. When a corporate bank negotiates a deal with a client, the terms rarely survive intact through execution, creating revenue leakage and client trust failures. Zafin connects those stages into one governed system.

The platform operates across five main areas that serve retail banking, corporate banking, and credit union use cases:

  • Product and pricing management, including real-time rate and fee configuration without IT dependency
  • Relationship banking tools for loyalty design, tiered rewards, and attrition signal detection
  • Revenue management connecting deal negotiation, billing, and renewal for corporate clients
  • Platform modernization with connectors for legacy and modern core systems in parallel
  • Data and intelligence for behavioral segmentation and dynamic offer generation

Clients include ING, HSBC, ANZ, CIBC, Truist, US Bank, and KeyBank. The company states that five of the top seven US banks run on the platform, and that it processes over 500 million accounts daily. Reported outcomes include a 95 percent reduction in time to launch new products and a 70 percent reduction in billing operational costs. Zafin is not positioned for family offices, wealth managers, or investment teams. Its buyers are heads of product, technology, and revenue at large retail and commercial banks. A family office evaluating vendors for reporting, portfolio management, or client communication would find no applicable offering here.

5 of the Top 7 US banks run on the Zafin platform.

On Zafin, from a family-office user
02 — Product & capabilities

What it covers

Core tasks
  • Centralized product and pricing governance for retail and corporate banking
  • Revenue management connecting deal negotiation through billing and renewal
  • Loyalty and relationship banking program design and execution
  • Core system modernization and legacy-to-modern integration
  • Behavioral data intelligence and dynamic offer generation
  • Compliance governance embedded into pricing and product configuration
Notable features
  • Real-time rate and fee configuration without IT involvement
  • Modular product configuration engine
  • Deal negotiation to billing governance for corporate clients
  • Tiered loyalty and rewards program builder
  • Attrition signal detection and behavioral triggers
  • Unified client history view for relationship managers
  • Legacy and modern core integration in parallel
  • AI-powered dynamic segmentation and offer generation
  • Centralized compliance and governance workflows
  • Cloud-native BIAN-aligned platform architecture
Platform & technology
Artificial IntelligenceData Ingestion
03 — Company

The firm behind it

Software type
SaaS
Headquarters / markets
United States, Canada, Australia
05 — Support & onboarding

Getting it running

Global teams mentioned with an expert consultation model; specific support channels not described.

6-9 months from kickoff to live production mentioned as a benchmark.