When employees are working through mountains of paper, checking every line manually and correcting errors by hand that could have been prevented from the outset, something is going wrong in your bank. The result: high operating costs, wasted time, a deteriorating Cost-to-Income Ratio (CIR), and ROI lost in the paper backlog.
In this article, we show you step by step how banks can not only introduce digital workflows, but make them measurably profitable.
This article is aimed at executive boards, CFOs, COOs and heads of department who want to make investment decisions on digital workflows based on facts rather than gut feeling.
Series: From Paper to Performance
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Part 1/7 - From Paper to Performance: Why Banks Need End-to-End Digitalisation
Cost and risk drivers of paper-based processes, plus a roadmap for end-to-end workflows. -
Part 2/7 - PDF ≠ Digital: How Banks Can Finally Use PDFs Intelligently
Why 'saving a PDF' is not a process and how PDFs can become structured, verifiable data. -
Part 3/7 - Evidentiary Value of Digital Documents: Legally Robust Digital Processes in Banks
Evidentiary value, audit trails and signatures: what really matters for audit and supervisory resilience. -
Part 4/7 - Digital Competitiveness: How Banks Can Keep Up in the Digital Market
Which capabilities banks need now and which process metrics make the difference measurable. -
Part 5/7 - Workflow Automation: Step by Step Towards a Paperless Process
How workflow automation creates a robust process infrastructure: faster and compliant -
Part 6/7 - Before and After: Digital Bank Mailroom - One Workflow Instead of Scan Piles
How banks can measurably reduce idle time, follow-up queries and review effort with clear before-and-after KPIs and audit trail by design. -
Part 7/7 - Business Case for Digital Workflows in Banks: How to Calculate ROI, OPEX & CIR Correctly
How banks build a robust business case: KPI baseline, target values, value drivers and a sound derivation of ROI and CIR.
What to Expect in This Article:
- ROI, CIR and OPEX: KPI Set for Digital Workflows
- How Banks Increase ROI with Digital Workflows in Core Processes
- Efficiency Barriers in the Lending Process: Costs, Errors and Media Breaks
- Digital Workflows & Efficiency: Added Value Through Automation and SaaS
- How to Calculate ROI for Digital Workflows Step by Step
- Multi-Process Approach: ROI Across All Banking Processes
- Common Pitfalls & Implementation Tips
- Expanding ROI: From Pilot Projects to End-to-End Efficiency
- Conclusion: Calculating ROI, OPEX & CIR Correctly
- Frequently Asked Questions (FAQ) About the Efficiency of Digital Workflows
ROI, CIR and OPEX: KPI Set for Digital Workflows
Digital workflows in banks become compelling when they deliver measurable KPIs. From lending processes and account or securities account onboarding to incoming mail, discover which metrics matter, how CIR (Cost-to-Income Ratio) and OPEX (Operating Expenses) can be improved, and which pitfalls you should avoid.
ROI (Return on Investment) indicates the relationship between invested capital and the value generated.
Operating Costs ('OPEX') in the bank back office can be reduced primarily through metrics such as FTE (full-time equivalents), processing time per case, error rate, document volume and audit or rework effort.
The CIR (Cost-to-Income Ratio) is another key metric: every euro saved in operating costs lowers the CIR and therefore improves competitiveness.
| Additional KPIs | Definition |
| FTE (Full-Time Equivalent) | Number of manual full-time equivalents per process segment |
| Processing Time | Time from receipt to completion of a case |
| Error Rate | Share of faulty cases, for example missing documents or returned items |
| Document Volume | Number of documents processed per month |
| Audit / Rework Effort | Time or cost required for remediation, manual corrections or reviews |
Only a small proportion of banks currently achieve their efficiency and digital transformation targets systematically. The Consequence: Without precise KPIs, the digitalisation business case often remains abstract instead of becoming a decisive business tool.
How Banks Increase ROI with Digital Workflows in Core Processes
In practice, three process areas in large banks are particularly suitable for measuring the ROI of digital workflows: lending, account and securities account opening, and incoming mail management.
Each of these processes is document- and workflow-intensive, with long processing times and high error and rework rates. This creates opportunities to achieve significant efficiency gains, cost reductions and measurable improvements in CIR through targeted digitalisation and automation.
Comparison Table: ROI Potential of Selected Banking Processes
| Process Area | Typical Challenges | Digital Levers / Solutions | Example KPI Metrics |
| Lending | Lengthy reviews, manual documents, high error rate | Workflow automation, validation, data capture | Processing time, FTE, error rate, rework costs |
| Account / Securities Account Opening | Paper forms, Germany's PostIdent identification procedure, abandonment rate | Fully digital onboarding, eSignature, data capture | Abandonment rate, time to account activation, CIR impact |
| Incoming Mail Management | Postal mail, media breaks, manual distribution | Digital incoming mail, automatic classification, workflow | Document volume, idle time, FTE, audit / rework time |
First Steps for Your Project Lead
- Identification: Select the process with the highest volume or currently the largest cost share.
- Establish the Baseline: Measure current values for KPIs such as FTE, processing time, error rate and document volume.
- Define the Digitalisation Measure: For example, digital form + eSignature + workflow automation.
- Forecast the Outcome: Estimate the potential, for example 'reduce the error rate from 6% to 2%'.
- Pilot Rollout: Start in the selected process area, measure the KPIs and then scale.
Efficiency Barriers in the Lending Process: Costs, Errors and Media Breaks
In many banks, the lending process remains one of the biggest barriers to efficiency. Although digital application journeys already exist for some lending products, such as consumer loans or parts of mortgage financing, the actual workflow after the application often remains paper- and review-intensive.
In Other Words: Even if the application starts digitally, the process behind it is still not sufficiently end-to-end digital in many institutions to realise the full efficiency potential.
Challenges at a Glance
Banks need to quantify the current state, for example through document volume, manual hours, error rates and rework rates, in order to validate how much can be saved through digital workflows.
- Paper-Based Processing: Forms are still printed, sent by post and reviewed manually, resulting in significant media breaks and long idle times.
- Postal Lead Times & Delays: Days or even weeks can pass between dispatch and return, extending the credit decision process and putting pressure on liquidity.
- Poor Data Quality / Incomplete Documents: Missing documents or incomplete forms lead to manual follow-up requests, interrupt process chains and increase costs.
- Error Rate and Rework: Faulty or incomplete cases have to be reviewed, corrected or processed again, making the process costly and inefficient.
Digital Workflows in Lending: Greater Efficiency, Lower Costs
Digital transformation in lending goes far beyond simply turning paper into PDFs. Banks that adopt genuine workflow automation and SaaS integration can significantly improve the key levers for efficiency and cost. Automation in lending is increasingly becoming a competitive factor in the German banking market.
Mini ROI Overview: Lending Process Digitalisation Project
1. Starting Point (Current State)
- Manual Processing Staff: 12 FTE
- Average Processing Time per Application: 48 Minutes
- Error Rate: 6%
- Monthly Document Volume: 5,000 Applications
2. Target (Future State After Digitalisation)
- Processing Staff: 8 FTE
- Average Processing Time per Application: 20 Minutes
- Error Rate: 2%
3. Impact & Benefits
| Metric | Before | After | Impact for the Bank |
| Process Capacity (FTE per Month*) | 12 FTE | 8 FTE | Reduction of 4 FTE → cost savings of approx. €16,000 per month |
| Processing Time per Application | 48 Min | 20 Min | Process time -58%, faster credit decisions |
| Fehlerquote | 6 % | 2 % | Less rework → savings of approx. €5,000 per month |
| CIR Impact | 65 % | 60 % | Cost share of income decreases → improved metrics for the CFO |
Measurement Framework: Period: 6-12 months · Population: all consumer loans within the defined pilot segment · Method: before/after comparison using identical matching criteria · Data sources: core banking system, workflow logs, DMS, audit trail, cost centres · Reporting: monthly (median, P90, cost per case, STP rate). *FTE stands for Full-Time Equivalent and is a standardised metric for measuring working time. One FTE corresponds to the workload of one full-time employee; 0.5 FTE corresponds to a part-time employee working half the hours of a full-time role.
Practical Example: Efficient Account Onboarding - Save Time, Improve CIR, Reduce Costs
In the digital age, account and securities account opening has become a decisive moment in the banking relationship and, at the same time, a significant cost and efficiency gap.
The Starting Point Is Shaped by Several Combined Factors:
Paper Forms & Germany's PostIdent Procedure: The customer receives forms and returns them by post, potentially followed by branch-based verification or Germany's PostIdent identification procedure, which significantly delays activation.
Incomplete Returns & Data Gaps: Missing information leads to follow-up queries, rework or even abandonment, resulting in high manual effort and increased costs.
Error Susceptibility & CIR Impact: Error rates are higher in manually processed onboarding journeys, placing pressure on the Cost-to-Income Ratio (CIR) and weakening profitability.
Comparison: Account / Securities Account Onboarding - Current vs. Target State
| Metric | Typical Value (Current) | Target Value / After (Future State) | Impact |
| Onboarding Duration | approx. 22 days | 3-5 days | Faster account / securities account activation, better customer experience |
| Onboarding Abandonment Rate | approx. 20% | < 5 % | More customers remain through to activation, increasing revenue potential |
| Share of Paper-Based Forms | high (e.g. > 50%) | < 10 % | Fewer media breaks, shorter process chains, lower costs |
| Follow-Up Queries / Additional Requests | e.g. 1 in 5 account applications | 1 in 20 | Less manual rework, faster workflow |
| Error Rate in Manual Processes | e.g. > 5% | < 1 % | Lower additional costs, reduced compliance risks |
Measurement Framework: Period: 6-12 months · Population: new account and securities account openings (branch + online) · Method: before/after comparison of the journeys · Data sources: onboarding workflow, CRM, NPS surveys, cost-centre reporting · Reporting: monthly (median, P90, abandonment rate, Time-to-Activate, cost per case).
Digital Workflows & Efficiency: Added Value Through Automation and SaaS
The digital transformation of account and securities account onboarding gives banks the opportunity to accelerate processes significantly, reduce costs and lower error rates. Traditional paper-based forms, postal lead times and manual rework are among the biggest barriers to efficiency. Digital workflows address these issues directly.
Core Measures of Digital Workflows:
The optimisation has a measurable impact on CIR (Cost-to-Income Ratio) and OPEX. A Practical Mini Template for Banks Could Look Like This:
| Metric | Old (Paper & Post) | New (Digital Workflow) | Benefit |
| Time-to-Activate (Account / Securities Account) | 7-14 days | Immediate to 1-3 days | Faster account / securities account activation, higher customer satisfaction |
| Abandonment Rate | ca. 20 % | <5 % | More new customers successfully complete onboarding |
| Manual Processing per Application | 4–6 Stunden | <1 hour | Reduced FTE effort, cost savings |
| Follow-Up Queries / Rework | 1 in 5 applications | 1 in 20 applications | Less manual rework, fewer delays |
| CIR Impact | High (slow process) | Low (efficient workflow) | Improved Cost-to-Income Ratio, higher profitability |
Measurement Framework: Period: 6-12 months · Population: account and securities account onboarding (online + branch) · Method: before/after comparison of identical journeys · Data sources: onboarding workflow, CRM, DMS, cost centres · Reporting: monthly (median, P90, abandonment rate, Time-to-Activate, cost per case).
Further Reading (Practical): PDF ≠ Digital: How Banks Turn PDFs into Structured, Verifiable DataHow to Calculate ROI for Digital Workflows Step by Step: A Guide for Banks
To justify investment in digital workflows, banks need a structured ROI calculation:
ROI Calculation in a Digitalisation Project
1. Capture the Current State
- Manual processing time per application / document
- Number of FTE per process per month
- Error rate, rework, audit effort
- Document volume (monthly / annually)
2. Define the Target State
- Target values achieved through workflow automation, digital forms and SaaS solutions, for example Paperfly
- Expected reduction in FTE, processing time and error rate
3. Calculate the KPIs
Whether time savings, cost impact, savings in error-related costs or payback period, numerous formulas can be used to calculate the required KPIs.
4. Derive the CIR Impact
Calculate how the cost savings improve the Cost-to-Income Ratio over one year
Multi-Process Approach: ROI Across All Banking Processes
Analysing individual processes reveals initial savings potential, but the real efficiency gains only become visible when several core processes, such as lending, account and securities account opening, and incoming mail, are considered holistically.
Banks that consistently use workflow automation and digital forms across multiple processes achieve significant time savings and cost effects that are reflected directly in CIR (Cost-to-Income Ratio) and OPEX (Operating Expenditure).
Benefits of the Multi-Process Approach:
Example KPI Summary by Process
Business Processes (Directly Attributable ROI)
| Process | FTE Old | FTE New | Processing Time Old | Processing Time New | Time Savings (Hours/Month) | Estimated Cost Impact (€) |
| Lending | 12 | 8 | 15 days | 8 days | 320 | 18.500 |
| Account / Securities Account Opening | 10 | 6 | 22 days | 12 days | 280 | 15.400 |
| Subtotal Business Processes | 22 | 14 | - | - | 600 | 33.900 |
Measurement Framework: Period: 6-12 months · Population: combined core processes (lending, onboarding, incoming mail, selected service processes) · Method: aggregated before/after benchmark by process plus overall impact on OPEX & CIR · Data sources: core banking system, workflow/signature logs, DMS/archive, controlling.
Cross-Process Shared Service (Conservative)
| Process | FTE Old | FTE New | Processing Time Old | Processing Time New | Time Savings (Hours/Month) | Estimated Cost Impact (€) |
| Zentraler Dokumenten- & Workflow-Layer (prozessübergreifend) |
8 | 4 | 10 days | 4 days | 200 | 6.500 |
The impact of the central document and workflow layer is deliberately reported conservatively. Parts of the efficiency gains are already reflected within the business processes; to avoid double counting, only the clearly separable shared-service portion is included in the overall ROI.
Overall Impact
| Kennzahl | Value |
| Total Full-Time Equivalent (FTE) Reduction | 12 FTE |
| Total Time Savings | 800 hours / month |
| Total Cost Impact | €40,400 / month |
| Projection (12 Months) | ≈ €485,000 OPEX Impact p.a. |
Common Pitfalls & Implementation Tips
Why Projects Often Fail and How to Prevent It
The implementation of digital workflows in banks often fails because fundamental issues are not addressed. In particular, poor data quality, inadequate process identification and unclear KPI measurement lead to incorrect assumptions when building the business case.
For example, the Deutsche Bundesbank, Germany's central bank, points out that banks regularly struggle with criteria such as completeness, consistency and plausibility in regulatory reporting processes. At the same time, the requirements of BCBS 239 and the German Minimum Requirements for Risk Management (MaRisk) emphasise the need for banks to determine and monitor data accuracy.
Common Pitfalls at a Glance:
- Insufficient Data Quality: Fehlende Validierung, unvollständige Datenpunkte, inkonsistente Datensätze.
- Unclear Process Identification: Processes are not clearly delineated, media breaks remain undetected and responsibilities are missing.
- Insufficient KPI Measurement: Ohne definierte Kennzahlen (z. B. Bearbeitungszeit, FTE, Fehlerquote) ist kein belastbarer ROI möglich.
- Technology Focus Instead of Workflow Focus: New tools are introduced without prior process analysis or data cleansing, so the expected impact fails to materialise.
Expanding ROI: From Pilot Projects to End-to-End Efficiency
Once individual digital workflows in lending, account and securities account opening, or incoming mail have been successfully implemented and improvements in ROI and CIR have been made measurable, the next question is how to scale them across other banking processes.
Key Aspects for Scaling
Prioritisation by Process Relevance
- Lending → high FTE reduction
- Account / securities account opening → shorter processing times, lower abandonment rates
- Incoming mail → automation of document flows
Standardised KPI Measurement
- Standardised KPIs, such as FTE, OPEX, CIR and error rate, enable comparison and benchmarking across processes.
Scenario Planning for Investments
- Simulate different rollout scenarios (pilot → department → bank-wide)
- Forecast cumulative savings and improvements in CIR
Long-Term Business Impact
- Sustainable reduction in operating costs
- Faster decision-making processes
- Competitive advantages through greater digital maturity
Conclusion: Calculating ROI, OPEX & CIR Correctly
Digital workflows in banks are a measurable lever for efficiency, cost reduction and CIR optimisation. Automation, digital forms and SaaS integration reduce FTE effort, shorten processing times and significantly minimise error-related costs.
A structured ROI approach, from the current state and target projections through to payback calculations, provides the necessary basis for investment decisions.
Next Steps for Banks:
- Prioritise Processes: Select high-volume, error-prone processes such as lending, account and securities account opening, or incoming mail.
- Create a KPI Baseline: Capture FTE, processing time, error rate and OPEX as the starting point for ROI.
- Define Digital Measures: Use workflow automation, digital forms, eSignatures and SaaS integration.
- Launch a Pilot Project: Test the measures in one process area, measure the impact and validate ROI & CIR.
With this approach, you turn the digitalisation business case into a transparent, data-driven basis for decision-making.
Frequently Asked Questions (FAQ) About the Efficiency of Digital Workflows
How Do You Calculate ROI for Digital Workflows in Banks?
ROI for digital workflows in banks is calculated by measuring FTE savings, OPEX reduction and changes in CIR, and relating them to the investment costs. Step by step, the current and target states are defined, time savings are calculated, costs are reduced and the payback period is determined. (Use an Interactive ROI Calculator)
Which Processes Are Best Suited for ROI Analysis?
Standardised, high-volume processes such as lending, account and securities account opening, or incoming mail processing are particularly suitable for ROI analysis because time savings, error reduction and cost reduction can be measured most clearly. Multiple processes can be combined to build a comprehensive business case.
How Can I Meet Compliance Requirements at the Same Time?
Compliance requirements can be met by using digital workflows that maintain audit logs, archive documents in an audit-proof manner and provide functions such as digital signatures and traceability of process steps, as offered by solutions such as Paperfly.
Which Metrics Are Particularly Relevant for Decision-Makers?
Decision-makers are particularly interested in FTE savings, processing times, Cost-to-Income Ratio (CIR), OPEX reduction and error rates because these metrics directly reflect the business impact of digital workflows and automation measures.
How Do I Combine Multiple Processes in an ROI Business Case?
Multiple processes can be combined by aggregating KPI values, creating before-and-after analyses and presenting the results in a clear dashboard. This makes it possible to communicate the overall value of digital workflows clearly at departmental or bank level.
Can I Calculate ROI Interactively?
Yes, ROI can be calculated interactively by allowing project leads to enter KPI values directly into an ROI calculator or downloadable mini templates that automatically evaluate time savings, cost reduction, changes in error-related costs and CIR.
Back to the Series: From Paper to Performance: End-to-End Digitalisation in Banks (Overview & Introduction)