Fintech Debt Funding: 3 Questions Lenders Will Ask About AI Investment

Fintech debt funding is available, but access to capital increasingly depends on the quality of the underlying funding case.

KPMG reported that global fintech investment increased from $95.5 billion in 2024 to $116 billion in 2025. However, deal volume fell from 5,533 to 4,719 transactions, its lowest annual level since 2017.

More capital was deployed across fewer deals, pointing towards larger transactions and a more selective investment environment.

Although these figures cover the wider fintech investment market rather than debt alone, the underlying message is relevant to founders and CFOs approaching lenders: a strong market narrative is not enough.

The company needs to demonstrate why its revenue is durable, what the funding will achieve and how the resulting cash flow will support repayment.

This is where competitive moat becomes part of the credit story.

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Fintech Moats in an AI World explores how defensibility, customer embeddedness and AI investment connect to revenue quality and fundability.

Why Fintech Debt Funding Depends on More Than Product Innovation 

Debt providers do not participate fully in the equity upside if an AI investment transforms the business.

Their priority is whether the company can meet its interest and principal obligations under both the base case and a reasonable downside scenario.

This means lenders are likely to focus on areas such as:

• Revenue predictability: How repeatable, contracted or transaction-driven is the income?
• Customer retention: How likely are customers to remain during the facility term?
• Concentration exposure: How dependent is the company on a small number of clients?
• Margin and cash generation: Can growth translate into sufficient operating cash flow?
• Historical performance: Has management delivered against previous forecasts?
• Funding purpose: Is the capital connected to a defined and measurable initiative?
• Repayment capacity: Does the timing of cash generation match the proposed facility structure?

As Fuse has also highlighted in its analysis of private debt selectivity in the UK and Europe, capital remains available, but lenders are placing greater weight on financial visibility, resilience and credible repayment pathways.

Question 1: What Protects Future Revenue? 

A large addressable market does not guarantee debt serviceability.

Lenders need to understand why customers should remain and why forecast revenue should continue after the capital has been deployed.

A fintech that is deeply integrated into billing, reconciliation or risk workflows may be able to demonstrate stronger revenue visibility than one dependent on a small number of easily replicated features.

Relevant evidence may include:

• Recurring revenue quality: Contracted or repeatable income supported by clear renewal behaviour.
• Customer retention: Gross and net retention supported by cohort data.
• Contract duration: Agreements that provide visibility over part or all of the facility term.
• Transaction behaviour: Stable or growing volumes across an established customer base.
• Customer concentration: Limited exposure to the loss of one major account.
• Commercial pipeline: A repeatable conversion process rather than speculative demand.
• Switching costs: Operational or financial friction that makes customer departure less likely.

The credit question is not simply whether customers value the product today. It is whether they are likely to continue paying for it throughout the life of the facility.

Question 2: How Will the Capital Strengthen the Moat? 

“Investing in AI” is too broad to function as a compelling use of funds.

A lender needs to understand what the investment will change.

For example:

• Deepen customer integrations: Place the product inside more critical workflows.
• Improve underwriting quality: Produce more accurate decisions and potentially reduce losses.
• Reduce fraud exposure: Identify suspicious behaviour earlier or lower false-positive rates.
• Automate a constrained process: Remove an operational bottleneck affecting margins or scale.
• Support regulated expansion: Fund the licences, infrastructure and team required for a new market.
• Expand proven distribution: Add capacity to an established sales or partnership channel.
• Serve larger customers: Build the controls and infrastructure required by enterprise clients.
• Use proprietary data: Convert operating history into a measurable product advantage.

The distinction between peripheral and core AI is useful when presenting this case.

Peripheral AI vs Core AI 

Peripheral AI can improve the funding case where its savings are identifiable and measurable.

Core AI may create a stronger long-term moat, but the business must explain the investment required, the implementation period and the commercial benefit.

A well-developed fintech debt funding case may combine both: near-term efficiency gains that support cash flow alongside longer-term investment that makes the business harder to replace.

Question 3: How Does the Investment Translate into Repayment Capacity? 

A lender ultimately needs to connect the use of funds to the company’s ability to service and repay the facility.

Founders and CFOs should show four things:

1. The required investment: How much capital is needed, when it will be spent and which milestones it will fund.
2. The commercial effect: How the investment should influence revenue, retention, margins, working capital or operating costs.
3. The cash-flow timing: When the expected benefit should appear relative to interest and principal payments.
4. The downside case: What happens if implementation takes longer or produces a lower return than forecast.

The forecast should distinguish between identifiable cost savings and anticipated revenue growth.

Cost reductions may be easier to evidence when they relate to known headcount requirements, third-party costs or processing expenses.

Revenue improvements require a clear commercial mechanism. Evidence could include customer demand, contracted pipeline, improved conversion, increased transaction capacity or stronger retention.

Build a Three-Part Fintech Funding Story 

Before approaching lenders, the leadership team should be able to connect three parts of the narrative.

1. Where the Business Is Defensible

Explain why customers stay, what competitors cannot easily reproduce and where the product sits within customer operations.

Support the explanation with retention, cohort performance, contract length, transaction activity and concentration data.

2. How the Capital Will Strengthen That Position

Show how the facility will fund integrations, infrastructure, data capability, regulatory expansion or a proven commercial model.

Avoid presenting the debt primarily as a general runway extension unless the route from additional runway to measurable value is clear.

3. How the Benefit Will Service the Debt

Connect the strategic investment to revenue visibility, margins and cash generation.

The strongest story allows a lender to follow the logic from capital deployment to operational improvement and then to repayment.

What This Can Look Like in Practice 

Fuse Capital’s work with fintech and financial-technology businesses provides examples of funding aligned to specific commercial objectives:

• Cashflows: Fuse secured a tailored venture debt facility to support expansion by a digital payments platform serving more than 2,000 merchants and over 60 strategic partners.
• Validis: A £4 million venture debt facility supported investment in product development, sales and international growth while preserving equity.
• Singapore-based AI-driven fintech: A revolving and amortising funding structure supported regional expansion and the onboarding of additional banking customers.

The structures and circumstances differ. The common thread is that the funding requirement could be connected to a defined strategy, operating model and credible growth outcome.

Complete the Fintech Debt-Readiness Check 

Before starting a process, ask:

• Can we explain revenue durability? Show why income should remain resilient during the facility term.
• Can we evidence customer quality? Provide retention, concentration and demand information.
• Is the AI use measurable? Connect the investment to a commercial or operational outcome.
• Does repayment match timing? Ensure the structure reflects when the benefits should materialise.
• Have we modelled downside performance? Demonstrate resilience if delivery is delayed.
• Will the facility preserve investment capacity? Avoid a repayment profile that prevents the company from completing its plan.

Debt can support AI investment, product development, acquisitions, expansion and working capital where the business has sufficient revenue visibility and the structure matches its cash-generation profile.

It should reinforce the moat rather than weaken the business through excessive repayment pressure or restrictive terms.

The Fuse View: Make the Credit Story Commercially Measurable 

Our view is that funders do not need to believe every part of an ambitious AI vision. They need to understand the commercial pathway behind it.

A credible fintech debt funding case translates technology investment into measurable changes in retention, margins, revenue visibility or risk.

That provides a stronger basis for assessing facility size, structure, covenants and repayment.

Explore the relationship between moat and fundability

Watch Fintech Moats in an AI World: What AI Commoditises and What Remains Defensible for the full discussion with Martin Koderisch and Kayode Sulola.

Previous articles:

• AI in Fintech: 5 Competitive Advantages Becoming Table Stakes
• Fintech Competitive Moats: 4 Advantages That Become Stronger as AI Spreads
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Exploring Debt Funding? 

Fuse Capital Group advises growth-stage businesses on debt funding across the private credit market.

Businesses considering funding for AI investment, infrastructure, expansion, acquisitions or working capital can explore our private credit advisory approach or speak with the Fuse Capital team.

Frequently Asked Questions 

Can fintech companies use debt to fund AI investment? 

Potentially. Debt may be appropriate where the company has sufficient revenue visibility, a defined use of funds and a credible ability to meet repayment obligations. Suitability depends on the company and proposed structure. 

What do lenders assess in a fintech business? 

Lenders commonly assess recurring or transaction revenue, retention, customer concentration, margins, cash generation, historical performance, funding purpose and debt-serviceability. 

How does defensibility affect debt serviceability? 

A defensible market position can support retention and revenue visibility. This may give lenders greater confidence that cash flow will remain available to service the facility. 

What should a fintech prepare before approaching lenders? 

The business should prepare historical financial information, forecasts, customer and retention data, concentration analysis, a clear use-of-funds plan and an explanation of how the investment will support repayment.