From Comparison Site to Lender: What Your Lending Decisioning Infrastructure Needs to Look Like

The Swedish regulatory reform marks a turning point for comparison platforms (låneförmedlare). To continue operating, these organizations must obtain a license, adapt their infrastructure, and transition from intermediaries to active lenders — a change with major operational and strategic implications.

The regulatory context

Since July 2025, Swedish law requires a credit institution license for both lending and intermediating consumer credit. The separate consumer credit institution category has been abolished. Comparison platforms now fall under the same licensing requirements as banks or credit market companies. 

The application deadline is the end of July 2026, and SFSA processing takes 12–18 months.  

Most platforms have already engaged legal counsel and started preparing their license applications. The operational implications and the technology infrastructure required to run regulated lending operations are less visible at this stage. 

swedish banking system change

A different kind of company

Think about what your business does today. You acquire consumers, show them rates from different lenders, and route them to the bank that fits. The bank makes the lending decision, checks creditworthiness and holds the risk. You earn a commission. 

Under the new regime, your role in the lending process changes significantly. The new regime requires creditworthiness assessments, affordability calculations, and documented decisions that meet SFSA standards. When originating loans directly, the company also holds credit risk and must be able to explain decisions to consumers. The technology requirements are substantial! 

SFSA will assess whether your infrastructure is adequate for the business you intend to conduct. They expect functional compliant systems. Plans or vendor contracts on their own are not enough. Specifically:

Creditworthiness assessment

BFBA Chapter 8 requires a thorough assessment based on income, expenses, and financial circumstances from verified sources. This requires connectivity to both external and internal data sources, affordability calculations (KALP, secured and unsecured debt, housing costs, net income), documented decision logic, and explainable outcomes. CCD2 adds a legal obligation from November 2026 to explain decisions to consumers.

Risk Management

BFBA Chapter 6 requires functional risk management systems and a documented risk appetite. For a company that has never held credit risk, this means building credit risk scoring, configurable rules and thresholds, monitoring, and reporting. The analytical and operational layer needs to exist before you can manage risk in any meaningful way.

AML/KYC compliance

Identity verification, sanctions and PEP screening, automated flagging, ongoing monitoring. The obligations under the new license are substantially broader than what intermediaries had before. 

Audit trails and governance

Complete logs of every lending decision: what data was used, what rules applied, what outcome was reached. It must be possible to replay any decision at any point in time for supervisory review. Policy versioning should make it clear which rules were in effect at any given date. This is what SFSA reviews during supervision. 

Banks and established lenders already have all of this. For platforms that historically focused on routing consumers, this infrastructure may not yet exist internally. 

 

Regulatory compliance for comparison sites in sweden

What a complete decisioning layer looks like

The table below lays out what the operational infrastructure looks like for a former comparison site becoming a licensed lender. 
Capability
Data connectivity
Policy-driven decisioning
Affordability assessment
Explainability
Decision audit trail
AML/KYC workflow
Governance and controls
What It Means in Practice
Integration with external and internal data sources: income verification, tax authorities, debt registries, property and vehicle registries, address validation, fraud watchlists. The platform should orchestrate access to multiple Swedish data sources, pulling the right data at the right stage of the assessment.
Rule-based logic that determines eligibility, affordability, and terms. Configurable rules and thresholds with clear separation of policy, data, and execution. Version-controlled decisioning. The lending logic remains under your control and should be updated without reliance on a third party.
Calculations using verified data: KALP (household budget), secured and unsecured debt, loan-to-value, housing costs, leasing costs, net income. These feed into whether to approve and at what terms. The assessment needs to be thorough, documented, and reproducible.
The ability to tell a consumer why they were approved, declined, or offered specific terms. Required by CCD2 from November 2026, but SFSA will expect it in practice from day one. Every decision needs a clear, traceable rationale.
Complete, immutable log of every decision. Replay capability so you can show SFSA exactly what happened on any application, even years later. Regulator-ready outputs. Policy versioning to track what rules were in effect at any given date.
Identity verification, sanctions and PEP screening, automated flagging, ongoing monitoring. Integrated into the application flow, not added as a separate step afterwards.
Human-in-the-loop controls for escalation and override. Structured exception handling with justification capture. The governance layer that keeps your lending operation within approved parameters and proves it to the regulator.
These capabilities need to work together as a single decision engine, with data, decisions, and audit trails flowing through one architecture. Stitching together separate point solutions often leads to integration issues and audit gaps, which can create issues for future compliance. 

We’ve helped Greenfield banks with a future proof agile tech platform which enables you to be compliant to existing and future legislation. 

Rune Skånøy

Sales Director Nordics, Zoot Solutions

Pre-screening: A cost dimension that is often underestimated

Getting the license is only the first step. Running a profitable lending operation is a different challenge altogether.  

Once you’re operating under the new license, you’ll be receiving applications directly. If you keep running a consumer-facing comparison channel, you would be processing tens of thousands of loan applications a month. The natural approach is to pull a full credit report on every applicant. In practice, this is enormously wasteful. A recent retrospective analysis performed at a Swedish bank showed a potential of 80 to 90 percent cost savings on your credit bureau data costs. This can be done by utilizing sequenced decisioning and pulling data from public sources before eventually a full credit report.  

This is a better approach: tiered pre-screening, where you apply the right data at the right stage. 

Stage
Tier 1: Initial filter (most do today)
Tier 2: Pre-bureau (few do today, potential savings big without impacting compliance)
Tier 3: Full bureau
Data Sources
Self-declared data: income, employment type, housing status, requested loan amount
Low-cost sources: address verification, employer data, fraud watchlists, public records, property and vehicle registries, tax data
Credit files, scoring, PEP/sanctions, bank data
Purpose
Basic policy checks. Does this person meet minimum thresholds before you spend anything on external data?
Identity screening, fraud detection, secured debt calculations, affordability indicators. Enough to generate an initial offer before the expensive bureau pull.
Full credit decisioning. Only triggered for applicants who passed earlier filters and accepted an initial offer.
For platforms building a lending operation from scratch, pre-screening is best designed into the architecture from the beginning. The data sources and calculation logic for the Swedish market (KALP, secured debt, loan-to-value, housing costs) already exist and are proven with Nordic lenders. Bolting pre-screening on later means reworking your data flows, your decision sequencing, and your application journey. Getting it right upfront avoids that.

Read more on Pre-Screening in our Article How Smarter Lending Pre-Screening Is Transforming Customer Acquisition in Lending”.

Building for what comes after the license

Regulation will keep evolving after you get the license. CCD2 brings new explainability and consumer protection requirements from November 2026. DORA introduces digital resilience requirements for IT infrastructure. Affordability rules will change and reporting obligations will expand. 

The platform chosen today should be capable of handling future regulatory developments as well. Policy versioning, decision traceability, flexible rule management, and secure IT architecture aren’t luxury features. They’re what lets you respond to regulatory changes quickly instead of running a costly rebuild every time the rules shift. 

Sweden is a compliance-driven market, and new license holders can expect close supervision, particularly in the early years. The lenders that invest in solid, auditable, future-proof infrastructure will have a much easier time during supervision than those that built the minimum to get through the door. 

Where most brokers stand today

In conversations with Swedish platforms going through this process, a pattern keeps coming up. Capital planning is underway. Governance is being restructured. Legal counsel is engaged. Those are the familiar parts. 

The decisioning infrastructure, the creditworthiness assessment, the data connectivity, the audit trails, the pre-screening, is still a blank page. That’s often the area worth focusing on early. It takes the longest to build, it requires the most unfamiliar decisions, and it’s what determines whether the lending business you’re building will actually work. 

Zoot 's role

Zoot works with financial institutions that are building this kind of lending infrastructure. We cover everything from pre-screening and data connectivity through to full credit assessment, audit trails, and regulatory outputs. We’ve helped financial institutions build lending operations from zero before, and we provide an end-to-end decisioning platform with pre-defined consumer lending workflow templates. 
Investigative Call
Let’s Talk About Your Transition
We work alongside your team through the whole process: configuration, integration, testing, go-live. If this transition is on your agenda, we’re happy to discuss how it could be structured. 
Rune Skånøy Nordics Zoot
About Zoot
Zoot equips financial organizations to operate confidently under evolving regulatory frameworks. From licensing readiness to compliant lending execution, our platform enables controlled transformation without compromising speed, governance, or business flexibility.
Contributors
RUNE SKÅNØY
Sales Director Nordics
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