How it works

Ten things the AI looks at, before a lender ever sees your deal.

Assesr is built on the variables that actually decide development finance — and produces them in the sequence credit committees expect.

01

Step 01

Borrower & sponsor

Company details, applicant info, employment, assets, liabilities, accountant, prior projects. Credit and adverse checks run automatically. Past projects assessed for relevance to the proposed scheme — area knowledge, asset class, scale, exit type.

02

Step 02

Site & location

Title number or certificate of title parsed for restrictive covenants, easements, freehold/leasehold issues, licence-to-alter requirements. Comparable transactions in the postcode benchmarked to a £/sqft mean. Local context layered in: demographics, transport, schools, crime, demand drivers.

03

Step 03

Planning permission

Permission document or council reference parsed for conditions. Pre-commencement and post-commencement conditions separated. CIL, MCIL, S106 and council legal fees calculated and timed against the build programme. Specialist reports (SUDS, arboricultural, etc.) flagged.

04

Step 04

Legal & regulatory approvals

Party wall agreements, scaffold and access licences, rights of light, oversail agreements — every approval needed to complete the build is identified and flagged for the lender as outstanding, in progress or done.

05

Step 05

Project reports

Measured survey, asbestos, drainage, geotechnical, hydrogeological, rights of light. Each report parsed for the risks that drive cost overrun: ground obstructions, foundation design, drainage runs over private land, flood risk, claim exposure.

06

Step 06

Design consultants

Architect, structural, M&E, interior, drainage, landscape — what's appointed, what's outstanding, what onerous engagement terms exist. Design gaps directly inform contingency.

07

Step 07

Costs, GDV & financial appraisal

Land cost, build cost (£/sqft), professional fees (typically 11%), contingency (10%+ as risk dictates), VAT treatment, lender fees. GDV cross-checked against local comps and valuer credibility — chartered surveyor vs estate agent puffery is detected and adjusted.

08

Step 08

Contractor & build risk

Contractor track record, references, financial strength, default history, liquidity. Build duration stress-tested against site complexity, ground conditions and neighbourly issues to estimate overrun risk.

09

Step 09

Exit strategy & loan term

Sale, refinance, lease — exit reviewed and stress-tested. Loan term sized to build + sales window. Standard 18 months (12 build + 6 sales) used as baseline, adjusted to the scheme.

10

Step 10

Lender matching

Mandate-matched against the lender pool: geography (e.g. M25 only), asset class (no social housing), ticket size, leverage appetite. Credit paper submitted directly. Lender deals with you to complete underwriting.

The output

A credit paper. Not a checklist.

The AI doesn't dump data. It walks the lender through the assumptions sequentially — executive summary, borrower, scheme, financials, sensitivities, key risks, debt structure — so anything off can be spotted before it compounds.

Risk grade A / B / C with reasoning
Profit on cost, LTC, LTGDV, IRR, peak debt
Planning, cost, GDV & sponsor sensitivities
Mandate-matched lender shortlist