Why deal packaging matters
The way a development finance deal is packaged — how the information is presented, structured, and analysed — directly determines whether lenders engage, how quickly they respond, and what terms they offer. A well-packaged deal with a professional credit paper will consistently outperform a raw deal pack of scattered PDFs, regardless of the underlying scheme quality.
There are three main approaches to packaging a deal. Each has trade-offs on cost, speed, quality, and lender access.
Approach 1: DIY (manual packaging)
The borrower compiles their own deal summary, development appraisal, and supporting documents, then sends them directly to lenders.
- Cost: Free (your time only)
- Speed: 2–6 weeks to compile properly
- Quality: Varies enormously. Experienced developers who know the format can produce good submissions. First-time developers typically produce incomplete or poorly structured packages that get deprioritised by lenders.
- Lender access: Limited to lenders you know about and can contact directly.
When it works: Experienced developers with an existing lender relationship who know exactly what format the lender expects. Small, simple schemes where the deal speaks for itself.
When it doesn't: First-time developers, complex schemes, or when you need to reach multiple lenders quickly. The risk is that a poor presentation kills a good deal.
Approach 2: Broker
A development finance broker reviews your deal, writes a credit paper or deal summary, and submits it to their lender panel on your behalf.
- Cost: 0.5–1.5% of the loan facility (£5,000–£75,000 on a typical deal)
- Speed: 1–4 weeks for packaging, then 2–6 weeks for lender engagement
- Quality: Depends entirely on the broker. Top-tier brokers produce excellent credit papers. Average brokers produce deal summaries that are little better than what you could write yourself.
- Lender access: Good — established brokers have panels of 20–50+ lenders and know who is actively lending.
When it works: Complex deals requiring negotiation, borrowers who value human relationship management, situations where a broker's reputation opens doors.
When it doesn't: When cost is a concern (broker fees add up quickly), or when speed is critical and the broker is juggling multiple clients.
Approach 3: AI platform (e.g. Assesr)
An AI-powered platform extracts data from your uploaded documents, generates a professional credit paper with financial appraisal and sensitivity analysis, and matches the deal to lenders whose mandate fits.
- Cost: Free for borrowers (Assesr is paid by the lender on drawdown)
- Speed: Hours, not weeks. The credit paper is generated same-day from a complete deal pack.
- Quality: Consistent. Every credit paper follows the structure underwriters expect, with sourced figures, risk grading, and sensitivity analysis. No variability based on which broker handles your deal.
- Lender access: Mandate-matched — the platform identifies lenders whose specific criteria match your scheme, rather than relying on existing relationships.
When it works: Almost any standard development finance deal. Particularly valuable for borrowers who want speed, cost efficiency, and professional-quality output without paying broker fees.
When it doesn't: Extremely unusual deal structures that require bespoke negotiation, or situations where a personal introduction to a specific lender is critical.
Side-by-side comparison
- Speed: AI platform (hours) then Broker (weeks) then DIY (weeks)
- Cost: AI platform (free) = DIY (free), Broker costs 0.5–1.5%
- Quality consistency: AI platform (high, consistent), then Broker (variable), then DIY (variable)
- Lender access: AI platform (mandate-matched) and Broker (relationship-based) both strong, DIY limited
- Human negotiation: Broker (strong), DIY (you do it), AI platform (not applicable)
The emerging hybrid approach
Increasingly, the best outcomes come from combining approaches. Use an AI platform to generate the credit paper and identify matched lenders quickly, then engage a broker if complex negotiation is needed on specific terms. This gives you speed and quality at the packaging stage, with human expertise where it actually adds value — negotiation, not data entry.