From Credit Policy to Live Product: How FundingSearch Is Using AI to Automate Lender Onboarding

FundingSearch is a UK commercial finance platform connecting SME borrowers with brokers and lenders across nine asset classes. Today, we are announcing a significant enhancement to our lender onboarding capability: an AI-powered tool that converts a lender's existing documents directly into a live, structured product listing on the platform.

This means credit policies, underwriting criteria, rate charts, PDFs, presentation decks, and product tables can all be used as source material. No forms. No manual data entry. No translation of internal policy into someone else's schema.

This is not a minor UX improvement. It is a fundamental change in how commercial finance lenders distribute their products in a digital, open finance environment.

What Is the FundingSearch Product Builder?

The FundingSearch Product Builder is an AI-powered lender onboarding tool that takes a lender's credit policy and turns it into a fully structured, live product listing on the platform automatically.

It is designed for commercial lending teams, credit managers, and distribution leads at banks, challenger lenders, specialist finance providers, and alternative lenders operating in the UK SME market.

Where lender onboarding software has historically required manual form completion, the FundingSearch Product Builder removes that step entirely. A lender uploads their existing documents, the AI extracts and structures the relevant data, and the credit team reviews and approves the output before anything goes live.

The Problem with Form-Based Lender Onboarding

When a lender wants to list products on a commercial finance platform, the traditional route is a form-based onboarding process. They fill in fields. They define eligibility criteria. They specify rates, LTVs, advance rates, sector restrictions, and minimum and maximum loan sizes. They do it product by product.

For a specialist lender with a focused range, this is manageable. For an asset-based lender with a nuanced credit policy across multiple facilities (invoice finance, trade finance, asset finance), it becomes a significant overhead. Many lenders maintain multiple versions of their policy for different borrower profiles, different regions, or different deal sizes.

The form does not know any of that. It just asks questions and waits.

The result: capable lenders with excellent products were not listing them. The friction was too high relative to the perceived reward. That meant fewer options for brokers and borrowers, and less distribution for the lenders themselves.

How the FundingSearch Product Builder Works

FundingSearch's AI lender onboarding tool ingests the documents lenders already produce and maintain, then extracts, structures, and publishes product data from them directly.

Supported document types include:

Credit policies. Whether a 20-page internal document or a formal board-approved policy file, the AI reads the criteria, identifies eligible borrower profiles, and maps them to FundingSearch's product taxonomy across nine asset classes. The policy itself remains entirely confidential and is never disclosed to brokers or borrowers.

Underwriting criteria. Advance rates, NOLV thresholds, sector exclusions, personal guarantee requirements, and minimum trading history. These are extracted as structured data and used to power the matching engine. They are not surfaced to borrowers or brokers in their original form. When a borrower's profile meets a lender's criteria, the platform confirms the match with a brief eligibility snippet. The underlying criteria remain private.

Rate charts and pricing tables. The AI reads rate cards, whether in Excel, PDF, or embedded in a slide deck, and converts them into dynamic pricing logic that the platform can apply.

PDFs and presentation decks. Broker introduction packs and conference materials are often the most accurate, up-to-date description of a lender's proposition. The Product Builder can use these directly as source material.

USP statements and product summaries. The high-level differentiators a lender chooses to make public. These are the only elements explicitly surfaced to brokers and borrowers on the platform, giving enough context to confirm a product is worth pursuing without exposing proprietary criteria.

The output is a fully structured lender profile and product listing, ready for live use, built from documents the lender has already created.

Why This Matters for Open Finance and Commercial Lending Distribution

Open finance in the UK commercial lending sector is not solely about data sharing via APIs. At its core, it is about making it easier for capital to reach the businesses that need it, by reducing the structural friction that sits between lender and borrower.

Manual onboarding is one of the most persistent sources of that friction. It requires lenders to translate their own internal policy into an external format, a process that is time-consuming, error-prone, and disproportionately burdensome for smaller or newer lenders with fewer administrative resources.

The result is a distribution gap: lenders with strong, well-defined products do not participate in digital channels because the overhead is not justified. Borrowers and brokers on those platforms never see those products. Capital that could have been deployed sits idle.

Credit policy automation changes this. By treating a lender's existing documentation as the source of truth for distribution, the FundingSearch Product Builder allows the platform to reflect the full breadth of what lenders actually offer, accurately and in real time.

A lender's credit policy is already the definitive statement of what they will and will not lend against. It should be the starting point for product distribution, not something they have to rewrite to participate in a digital marketplace.

What Lenders Retain Control Over

Commercial lending teams rightly want visibility and approval authority over anything published under their name. The FundingSearch Product Builder includes a structured review layer:

Before any product goes live, the lender's team can review the AI's extraction line by line, correct anything that needs adjustment, and approve the final listing. The AI handles the structural and analytical work. The credit team retains sign-off.

If a credit policy is updated (new sectors approved, rate adjustments, revised LTV thresholds) the lender can upload the revised document and the platform re-extracts and flags the differences for review. Policy changes are reflected in the live listing without requiring the lender to manually update individual fields.

How Borrower and Broker Visibility Works

A key principle of the FundingSearch Product Builder is that a lender's credit policy and underwriting criteria are never disclosed to borrowers or brokers. They remain closed, proprietary, and visible only to the lender's own team.

What borrowers and brokers see is determined entirely by the match. When a borrower's profile meets a lender's criteria, the platform surfaces a brief eligibility confirmation: enough information to indicate a credible match and prompt an introduction, but nothing that exposes the lender's underlying decision-making framework.

This protects lenders from having their credit policy reverse-engineered or used against them commercially, while still enabling efficient, accurate matching at scale. The intelligence sits inside the platform. The lender's IP stays with the lender.

Who This Is For

The FundingSearch Product Builder is relevant to any UK commercial finance lender that wants to expand digital distribution without the overhead of manual platform onboarding. This includes:

Challenger banks and neobanks with commercial lending divisions. Specialist asset-based lenders offering invoice finance, trade finance, or asset finance. Bridging lenders and development finance providers. Commercial mortgage lenders. Alternative lenders and fintech credit providers operating in the UK SME market.

If your organisation has a credit policy document and products you want in front of UK brokers and borrowers, the Product Builder can have you live on FundingSearch without a lengthy onboarding process.

What Comes Next

The Product Builder is the first component of a wider lender intelligence capability on FundingSearch. The roadmap includes a live match layer that surfaces data on which borrower profiles a lender is winning and losing against their criteria, enabling iterative refinement of credit policy for distribution performance.

It also includes automated listing maintenance: as a lender's policy evolves, their FundingSearch presence stays current without manual intervention.

We are inviting lenders to join this early phase. If you have products you want listed on FundingSearch and a credit policy document to start from, we would like to hear from you.

Get in touch at [email protected] or visit fundingsearch.com to learn more.