An Operational Playbook for FiDA Compliance in Banking

Imagine your bank is launching a new premium service: a financial check-up that shows customers within minutes where they can save, optimise or invest more effectively. The data is available. The product concept is solid. The steering committee agrees: 'Das ist unser nächster Umsatzhebel.“

And then reality sets in: How do we explain the value clearly enough for customers to genuinely consent? How do we obtain that consent securely? And how do we guide the customer directly into the service after their active consent (opt-in), ideally all the way through acceptance and payment?

That is what FiDA is designed for. FiDA stands for Financial Data Access, an EU proposal for a regulation on access to financial data. FiDA creates the data foundation for Open Finance.

This article shows how to operationalise the journey so that data sharing turns into usage, and usage turns into new recurring revenue.

What Is FiDA in Detail, and Why Should Banks Address It Now?

FiDA (Financial Data Access) is an EU regulatory framework for Open Finance intended to enable the controlled exchange of financial data based on customer consent.

For banks, FiDA is a product opportunity: those that operationalise consent, evidence and activation effectively can scale data-driven services faster and develop new recurring revenue streams.

What Does FiDA Mean in Practice for Banks?

FiDA creates the technical foundation for using data with consent. In practice, however, customers determine success: how clearly is the value explained, how easy is it to consent, how audit-proof is the evidence and how seamlessly does the service start afterwards? It is precisely this 'consent-to-service journey' that makes FiDA product-ready in banking.

The key question is not 'Can we share data?', but 'How do we guide customers securely, clearly and seamlessly on mobile through consent, evidence and activation, without portal barriers, media breaks or audit gaps?'

FiDA in Brief: What It Regulates and What It Does Not

FiDA creates the framework for standardised, secure data exchange, but it does not in itself provide a functioning customer experience. For banks, a clear separation between infrastructure and interaction is therefore essential:

• Data access: The technical foundation, including APIs, standards and access permissions.
• Customer value: tangible outcomes for the customer, such as better terms, faster decisions, fewer document submissions and a better financial overview. If customers cannot understand the value in one or two sentences, consent and conversion rates fall.

The Often Overlooked Barrier: Why FiDA Rarely Fails Because of APIs

In practice, the main obstacles are not data models, but friction points such as unclear consent wording, too many clicks, mandatory portal use, missing evidence and complicated withdrawal processes.

Typical Reasons for Drop-Off in the Consent Flow

• 'I do not understand what this is for' = unclear value proposition
• 'The text is too long / too legalistic' = text overload
• 'I have to log in or install an app' = unnecessary barriers
• 'I am supposed to share data, but I cannot see what I get in return' = unclear value exchange
• 'I cannot find where to withdraw consent' = loss of control

The fewer the media breaks and the clearer the evidence standard, the higher the adoption.

Reference Model 'Consent-to-Service': The Journey That Makes FiDA Product-Ready

A robust model connects information, consent, evidence, withdrawal and service activation in one continuous workflow. The goal is not 'consent collected', but 'service started'.

Step 1: Explain the Value

• Examples: Explain the Benefit in Just One Sentence

1. Retail lending: 'Faster credit decisions, fewer document submissions.'
2. Wealth: 'Portfolio review and savings potential in minutes.'
3. SME: 'Cash flow analysis and financing proposal.'

Step 2: Obtain Consent

• Clear option 'Only for this purpose', no blanket consent
• 'Transaction data' separated from 'investment portfolio' and from 'loans': one consent per use case

Step 3: Generate Evidence

• Record consent: time, channel, text version, selection, authentication, purpose, recipient and data categories
• Internally at the bank: use an evidence ID as a reference so that Internal Audit does not have to reconstruct the process later

Step 4: Activate the Service

• Immediately after consent, the next step begins: analysis, offer, appointment booking or preparation for a decision
• The customer immediately sees progress through status, result and next action

Optional: Contract & Payment (Premium)

• For wealth or premium checks: explain the offer → acceptance → signature if required → payment

Evidence & Audit Trail: What You Need to Prove to Keep It Auditable

Auditability is created at every step: who consented, to what, when, using which text version and through which channel. It must also be possible to trace which data categories were shared with which recipient and how withdrawals were processed.

Minimum Viable Audit

Banks must be able to evidence at least the following fields for FiDA consent

If you do not record text versioning and status history properly, consent can quickly become 'not clearly evidencable' in an audit.

This is exactly where Paperfly comes in: Evidence is created by design within the workflow, not as a retrospective export.

How Paperfly Ensures 'Evidence by Design' in Operations

Many FiDA initiatives do not fail because data is unavailable, but because evidence cannot be produced reliably in day-to-day operations: consent may have been obtained, but text versions are unclear, status histories are missing, withdrawals are handled through tickets and reconstruction begins during the audit.

Practical benefit: Fewer audit queries, less manual reconstruction and fewer exception cases in withdrawal processes reduce operational process costs while increasing opt-in and conversion rates because the journey runs reliably end to end.

UX, Mobile Experience and Clarity: How to Achieve High Opt-In Rates

'What happens to my data?' in one sentence: 'We use selected account data exclusively to offer you Service A; you can withdraw your consent at any time.'

Link-First: No Mandatory App or Portal

• Link-first as the standard channel: Entry via SMS, email or QR code always leads into the same browser-based workflow, with no installation required, including for non-customers or authorised representatives.
• Minimised friction: no app download, no password reset and no registration drop-offs
• Session resilience: save progress and 'continue later': no data loss if the journey is interrupted or the user switches between phone, tablet and PC.

How Data Sharing Becomes a Premium Service

FiDA creates revenue potential, but only if the transition from 'data may be used' to 'the customer uses and pays for the service' is operationalised. This includes explaining the offer, acceptance, contract logic and, where required, payment within a single flow.

Three FiDA-Adjacent Premium Use Cases for Banks

• Retail: Document and Evidence Manager as a Premium Service
  Customers submit supporting documents such as income, address, tax and marital status once in a structured format and reuse them for loans, cards, limits, investment accounts or powers of attorney. The benefit: fewer follow-up questions, faster processing and transparent status tracking.
• Retail: 'Fast Track' Credit Check as a Premium Add-On
  Within minutes, customers receive a preliminary assessment with clear next steps, such as a realistic instalment, required documents and expected time to decision. The premium benefit: fewer document submissions, faster approval and prioritised processing, without appointment and document back-and-forth.
• SME: Cash Flow Insights and Financing Proposal
  Liquidity monitoring, forecasting and suitable financing proposals at the touch of a button, without spreadsheet back-and-forth and with faster decision-making in business banking.

What all three patterns have in common: Without a mobile, easy-to-understand consent-to-service journey, they remain concepts and do not scale.

Paperfly in the FiDA Stack: Interaction Layer Instead of Data Platform

Paperfly operates where FiDA projects become practical: consent, forms, signatures, audit trails, routing and payment. Not as an API or analytics layer, but as an orchestration layer for customer-facing processes.

Consent & Forms

• Bank-ready consent pages, clear choices and explanatory text
• Also usable in branches / service centres as an 'assisted journey'

Signature and Audit Trail

• Signature integrated into the journey
• Audit trail as 'evidence by design', not as a retrospective export

Workflow Orchestration (Routing, Follow-Up Requests, Status)

• Handover to the back office without email back-and-forth
• Standardised status and follow-up requests

Payment Collection for Premium Services

• Payment request within the same workflow, without media breaks
• Including evidence: 'accepted, paid, activated'

Conclusion: How to Make FiDA Profitable for Your Bank

FiDA creates the technical foundation for Open Finance. In banking practice, however, value is only created when consent, evidence and activation are built as one end-to-end consent-to-service journey: clear for customers, mobile without unnecessary barriers, documented in an audit-proof manner and designed so that a service starts immediately after opt-in.

FAQ: The Most Common Questions from Digital, Compliance and Operations

Do We Need an App for FiDA, or Is a Mobile Link Enough?

For high activation in retail banking, a link-first approach is usually superior: fewer login barriers, no installation and fewer drop-offs. An app can complement the experience, for example for existing-customer features, but it should not be a prerequisite if consent and service activation need to scale quickly and broadly.

How Granular Should Consent Be in a FiDA Use Case?

As granular as the use case requires, typically separated by purpose and data category. If consent is too broad, it appears opaque and reduces trust; if it is too granular, drop-offs increase. The goal is controllable consent with a small number of clear options.

How Should Withdrawal Be Operationalised in FiDA Processes?

Withdrawal must work as a standard operational process: easy to find, executable in just a few steps and effective across systems. This means the consent status changes, workflows stop or adapt, and all events are logged. 'Withdrawal via support ticket' scales poorly and creates audit and operational overhead.

Which Evidence Fields Are Required for a 'Minimum Viable Audit'?

At a minimum, banks must be able to demonstrate who consented, when, for what purpose, which data categories were involved, who received or used the data and for what purpose (recipient, role), which text version was shown, how the customer was authenticated, and the full status history including withdrawal. Without text versioning, the evidence becomes vulnerable because it cannot later be demonstrated clearly what the customer actually saw.

Mini Glossary (FiDA: Consent-to-Service)

Versioning = every change to wording, purposes or options creates a new version that is referenced in the evidence.

Purpose limitation: data may only be used for the specifically described purpose, for example a financial check-up or preliminary credit assessment, and not generally for additional purposes that were not stated.

Consent: the customer's documented consent to clearly described uses of data.

Consent-to-Service Journey: an end-to-end process from explaining the value proposition through consent and evidence to service activation, optionally including contract, signature and payment, without portal barriers or media breaks.

Data Categories: the types of data involved, for example account transactions, loans and investment portfolios.

Recipient: who receives the data or is permitted to use it, such as an internal bank product, partner or third-party provider.

Withdrawal: the mechanism that allows the customer to withdraw consent easily.

Audit Trail / Evidence: auditable evidence showing who consented, when, for what purpose and how, including text version, channel, identity and events.

Identity Assurance Level: the level of assurance provided by authentication, for example a logged-in bank customer versus an external user completing an identity check.