The document that makes or breaks your deal
In development finance, the credit paper is everything. It's the document a lender's credit committee uses to decide whether to fund your project. A strong credit paper gets you competitive offers in days. A weak one gets your deal shelved or rejected.
For decades, writing credit papers was a broker's core skill — and a significant part of what their 1–2% fee paid for. Now AI generates them in 60 seconds. But is an AI credit paper actually as good as one written by an experienced broker? Let's compare them directly.
Structure and format
AI credit paper: Follows a fixed 10-section structure every time — executive summary, project description, planning analysis, build costs, GDV analysis, financial appraisal, sensitivity analysis, risk grading, borrower analysis, and recommended structure. Lenders know exactly where to find every piece of information.
Broker pack: Format varies dramatically between brokers. Some produce detailed 20-page analyses; others send a 3-page summary with an appraisal attached. There's no industry standard, which means lenders spend more time navigating each pack to find what they need.
Verdict: AI wins on consistency. Lenders process deals faster when every submission follows the same structure.
Data accuracy and sourcing
AI credit paper: Every figure is extracted directly from the uploaded documents and traced back to its source. If the build cost says £1.2M, the credit paper shows which document and which page that figure came from. Nothing is estimated or rounded without flagging it.
Broker pack: Figures are manually transcribed from documents. Good brokers double-check their numbers; busy brokers make transcription errors. Source attribution is rare — lenders typically need to cross-reference the broker's numbers against the original documents themselves.
Verdict: AI wins on traceability. Source attribution is built into the process, not an afterthought.
Analysis depth
AI credit paper: Includes sensitivity analysis (what happens if costs overrun 10–20%, if GDV drops 10–15%, if the build timeline extends), comparable £/sqft benchmarking with market evidence, and an objective risk grade from A to E. These are generated automatically for every deal.
Broker pack: Experienced brokers include sensitivity analysis for larger deals, but it's inconsistent. Many broker packs skip sensitivity analysis entirely, include no comparable evidence, and provide no objective risk assessment. The quality depends entirely on the individual broker.
Verdict: AI wins on completeness. Sensitivity analysis and risk grading are standard, not optional extras.
Speed
AI credit paper: 60 seconds from document upload to completed credit paper.
Broker pack: 2–6 weeks, including time for initial review, queries, drafting, and revisions.
Verdict: No contest. AI is 2,000x faster. In a competitive market, the developer who gets their credit paper to lenders first often gets the best terms.
Cost
AI credit paper: Included in Assesr's 0.5% drawdown fee. The credit paper itself costs nothing to generate — you can submit a deal and see the credit paper for free.
Broker pack: The credit paper is part of the broker's 1–2% fee. On a £3M deal, you're paying £30,000–£60,000, and the credit paper is a significant chunk of what that fee covers.
Verdict: AI is dramatically cheaper. Even including the 0.5% drawdown fee, the total cost is less than half.
Where brokers still add value
To be fair, the best broker packs include qualitative commentary that AI doesn't replicate — insights from the broker's relationship with specific lenders, knowledge of a lender's current appetite that isn't in any database, or creative structuring suggestions based on decades of experience.
For genuinely complex deals — unusual planning situations, borrowers with complicated track records, multi-site schemes — an experienced broker's judgment call on how to present the deal can make a real difference.
But for the majority of standard development finance deals, the AI credit paper is objectively better on every measurable dimension: more consistent, better sourced, more thoroughly analysed, infinitely faster, and significantly cheaper.
The bottom line
AI credit papers aren't a compromise — they're an upgrade. The standardised format, automatic sensitivity analysis, source traceability, and instant generation make them the better option for most development finance deals. Lenders prefer them because they're consistent and thorough. Borrowers prefer them because they're fast and cheap. The only people who don't prefer them are brokers whose primary value was writing the credit paper in the first place.