Segment
Who the customer is in market terms — bank, digital lender, EMI, asset manager, tokenization issuer, embedded-finance partner — without the brand name.
Client Outcomes
What banks, lenders and issuers ship on CoreFi.
CoreFi customers run regulated workloads — direct lending books, modernized cores, tokenization and stablecoin programs. Where contractual confidentiality applies, we publish the story anonymized: segment, region, problem, modules used, outcome ranges and the implementation timeline that produced them.
How to read these stories
Six fields per story. No fluff.
Every CoreFi client outcome is written to the same shape so a buyer can compare a digital-lender deployment to a bank modernization or a tokenization launch on the same axes. Where a customer has not authorized public attribution, segment, region and metric ranges replace names — but the modules, the timeline and the outcome shape are real.
Region
The jurisdiction the deployment serves. Useful when the regulatory frame (ECSPR, MiCA, PSD2, CRR) changes how the story reads.
Problem
The operational or commercial constraint that drove the engagement — typically a capacity, time-to-market, cost or compliance gap the customer could not close internally.
CoreFi modules used
Which parts of the CoreFi platform were deployed: Core Banking Engine, Lending Automation, Customer Onboarding, Headless APIs, AI Workflow Control Plane, White-Label Channels, Asset Tokenization, Stablecoin Infrastructure, Custody, Cross-Border Payments.
Outcome (metric ranges)
Anonymized improvements expressed as ranges or percentage uplifts. Numbers are taken from the customer's own measurement; ranges hide deal-specific identifiers, not the result.
Implementation timeline
Calendar weeks from kickoff to first production workload, plus the rollout shape (single market, multi-market, dual-core parallel run, full migration).
Story 01 / Digital Lender
Direct digital lending, run on CoreFi without rebuilding the back office.
A regulated financial institution with a non-lending core business — asset management, corporate finance and advisory — needed to operate a growing direct-lending book without diverting resources, hiring a servicing team or building a loan-management stack from scratch. CoreFi ran the platform and the servicing operation; the institution kept the customer relationship.
Segment
Regulated financial institution running direct lending as a non-core line; primary business in asset management and corporate finance.
Region
European Union — single-market deployment, EU regulatory perimeter.
Implementation timeline
Roadmap analysis and platform set-up in weeks; data migration and connector build to existing systems; phased cutover with the customer's team trained on the LaaS console before live traffic.
The problem
The institution's loan portfolio kept growing, but the servicing workload that comes with 36–72 month tenors did not match its operating model. Each loan needed payment processing, late-fee handling, transaction reconciliation, accounting entries, borrower communications and audit-quality recordkeeping for the full life of the loan. Building the platform in-house meant a multi-year fintech project; outsourcing piecemeal meant fragmenting the audit trail. Neither matched the strategic priority, which was to keep capital and headcount on the core business.
What CoreFi delivered
CoreFi deployed an end-to-end Lending-as-a-Service stack on its Core Banking Engine: origination, underwriting, servicing, payment processing, late-payment management, customer service and reporting — all governed by the same permissioning and audit layer that runs the rest of CoreFi. Connectors integrated the LaaS platform with the institution's existing systems so the loan book lived in one record. CoreFi's servicing team operated day-to-day; the institution kept oversight and approvals through the LaaS console.
Modules used: Core Banking Engine, Lending Automation (Lending-as-a-Service), Customer Onboarding, Headless APIs, White-Label Channels.
Outcomes
~40%Less time spent on loan-servicing tasks across the team.
~25%Fewer late-payment incidents after automated detection and borrower communications.
~30%Higher consistency in borrower repayment behaviour, measured month-over-month.
~35%Lower operational cost of loan servicing under predictable LaaS pricing.
~50%Faster customer-service response times on borrower queries.
36–72 moLoan tenors fully managed end-to-end on the LaaS platform.
What changed in the business
Capital and management attention moved back to the institution's primary lines. Lending stopped being an operational tax: cost per serviced loan became predictable, the audit trail consolidated under one platform, and the loan book could grow without proportional growth in headcount. The customer's team kept the strategic decisions — pricing, credit policy, approvals — while CoreFi ran the platform, the workflows and the borrower-facing servicing.
Story 02 / Bank Modernization — coming soon
An incumbent bank moving one journey at a time.
A second story is in preparation: an incumbent bank running CoreFi alongside its legacy core to modernize a single customer journey — onboarding, deposits or lending — without a full migration. Anonymization, modules used and metric ranges will land here once the customer has signed off.
Slot reserved — Story 02
Per-slot fields: Segment · Region · Problem · CoreFi modules used · Outcome (metric ranges) · Implementation timeline. Drops in without page-level redesign.
Story 03 / Tokenization & Stablecoin — coming soon
An issuer running tokenized instruments on a regulated rail.
A third story is in preparation: an issuer using CoreFi's Asset Tokenization, RWA Tokenization and Stablecoin Infrastructure modules to launch tokenized instruments under MiCA-aligned controls. Anonymization, modules used and metric ranges will land here once the customer has signed off.
Slot reserved — Story 03
Per-slot fields: Segment · Region · Problem · CoreFi modules used · Outcome (metric ranges) · Implementation timeline. Drops in without page-level redesign.
Want a story like these for your book?
We will walk through the modules that fit your segment, the outcome ranges they typically produce, and a realistic implementation timeline for your jurisdiction.