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Microsoft Software / SaaS Canada

Zafin

Real-time Analytics · System Migration

Zafin needed a way to help banks modernize product and pricing innovation while their decades-old core systems were still in place, without forcing a rip-and-replace transformation first.

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40-year-old systems
Multimillion dollar deals with tier one and tier two banks

Reported impact

Business outcome

Zafin can help banks innovate on products and pricing faster while still modernizing their core estates, and the Microsoft partnership has supported multimillion-dollar deals with large banks.

  • Productivity Improvement
  • Revenue Growth
  • Speed to Market

Solution

Zafin runs its SaaS product and pricing platform on Microsoft Cloud for Financial Services so banks can modernize product innovation without first ripping out decades-old core systems. Zafin Studio sits as a layer above deposit, loan, insurance, and card cores, while Azure, Dynamics 365, and Microsoft Teams supply the cloud foundation and financial-services workflows that the platform relies on. Microsoft Fabric and GenAI capabilities are being used to distill market and performance information into the Product and Pricing Index, giving product managers clearer inputs for proposition design and ROI modeling. This architecture separates slow-moving incumbent cores from a more agile pricing and product layer, allowing banks to bundle offerings and bring new propositions to market faster. For Zafin, the Microsoft stack also aligns its SaaS delivery model with the cloud strategies of tier-one and tier-two banks.

Data flow

Product and pricing data from legacy banking cores is abstracted through Zafin Studio, enriched with market and performance information through Microsoft Fabric and GenAI capabilities, and then surfaced back to product managers for proposition and ROI design.

Solution architecture

6 components · 4 layers
  1. Compute
    • Azure Supplies the cloud infrastructure that underpins Zafin’s banking platform.
  2. Storage
    • Microsoft Fabric Adds the data-management layer that feeds product and pricing insight into Zafin’s AI-driven proposition tooling.
  3. Serving
    • Microsoft Teams Acts as part of the Microsoft collaboration surface used within the financial-services solution set.
    • Zafin Studio Sits above legacy banking cores so product managers can assemble, price, and model new offerings.
  4. Orchestration
    • Microsoft Cloud for Financial Services Provides the industry cloud environment Zafin uses to deliver its SaaS platform to financial institutions.
    • Dynamics 365 Supports the surrounding Microsoft business application capabilities used in the financial-services workflow.

Architecture clues

  • Product and Pricing Index uses GenAI and Microsoft Fabric to interpret market information
  • Zafin Studio separates incumbent core complexity from the innovation layer
  • Zafin is solely deployed on Microsoft Cloud for Financial Services

Evidence from the source

Microsoft Cloud for Financial Services ... transform[s] banking by innovating the way a financial institution provides products and pricing to its customers without compromising its modernization journey.
With this partnership, the two companies are landing multimillion dollar deals with tier one and tier two banks.
Zafin Studio also distills information available in the market using AI to provide a proposition canvas so the product manager can model the ROI of a product they want to innovate.
Transparency Evidence & methodology 75/100 reference value · 82% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence82%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Zafin customer story

    First-party
    https://www.microsoft.com/en/customers/story/1741912152181425774-zafin-microsoft-cloud-for-financial-services-canada
    Source type
    Vendor-published customer story
    Published
    Feb 28, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Feb 28, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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