AI-Powered Project Planning & Reviews
Faster, more accurate construction document analysis. We combine large language models, structured cost libraries, and construction expertise to surface insights that humans alone would miss — and deliver them in a format your credit, investment, or project team can actually use.
Faster first-pass document review versus fully manual workflows.
Contract elements audited automatically on every engagement.
Of AI findings human-validated before delivery.
Why Construction Document Review Is Broken
Construction documents are dense, inconsistent, and rarely structured. A typical renovation loan file contains hundreds of pages across PDFs, scanned estimates, spec books, and email threads. Manual review is slow, inconsistent between reviewers, and prone to fatigue. Critical gaps — missing scope, math errors, cost-plus traps, uncredited deposits — get missed under time pressure.
What Our AI Tooling Does
Eight analysis engines running in parallel on every engagement — all validated by a construction professional before delivery.
Document Intelligence
Large language models ingest plans, specs, contracts, estimates, and change orders — then extract scope, terms, and obligations into a structured review record your team can actually query.
Automated Cost Estimate Review
Line-item extraction from any estimate format (PDF, Excel, scanned). AI normalizes trades, validates math, and flags missing scope against a reference cost library.
Market Cost Benchmarking
Trade-by-trade benchmarking against regional market ranges. Each line item is classified Above / Within / Below Market with variance commentary a credit committee can rely on.
Predictive Scheduling
Historical project data trains a schedule risk model that surfaces likely slippage, dependency bottlenecks, and realistic completion windows — not the contractor's optimistic timeline.
Anomaly Detection
Unit-cost outliers, duplicated line items, uncredited deposits, math errors, and suspicious markup patterns are flagged automatically for human review.
Natural-Language Contract Analysis
Contracts are parsed against a 14-element checklist covering payment terms, allowances, change orders, warranties, and exclusions — with plain-language risk commentary on every finding.
Portfolio Benchmarking
Compare projects across a portfolio on cost, schedule, scope, and contractor performance. Identify which sponsors and GCs deliver — and which ones don't.
Plan-to-Estimate Crosswalk
Each significant plan element is traced into the estimate. Gaps, omissions, and scope-dependent items are surfaced before funding commitments are made.
AI-Accelerated. Human-Validated.
The model is the accelerator, not the decision-maker. A construction professional reviews every finding before it ships.
What the AI Does
- Ingests documents of any format and extracts structured data
- Validates estimate math and surfaces unit-cost outliers
- Benchmarks line items against regional market ranges
- Parses contract clauses against a 14-element checklist
- Builds plan-to-estimate crosswalks at scale
- Flags anomalies and missing scope for human review
What a Human Does
- Validates every AI finding against source documents
- Applies construction and credit judgment to edge cases
- Classifies findings PASS, FLAG, or FAIL
- Writes plain-language commentary for the credit or investment file
- Identifies items the model missed or misclassified
- Signs the report
Who We Serve
Lenders & Credit Teams
Underwrite renovation and construction loans faster without sacrificing rigor. AI does the first pass; a construction professional validates the findings before they hit the credit file.
- Faster turnaround on renovation loan files
- Defensible, documented reasoning on every finding
- Portfolio-level risk monitoring across active draws
- Consistent review standards across loan officers
Investors & Funds
Screen more deals, faster. Our AI tooling lets acquisition teams review contractor proposals, cost estimates, and plans at portfolio scale — without adding headcount.
- Pre-acquisition proposal review at scale
- Contractor performance benchmarking
- Budget anomaly detection across pipeline
- Investor-ready reporting automation
Project Sponsors & GCs
Pressure-test your own estimates, schedules, and contracts before you submit them. Catch gaps and pricing errors on your side of the table — not after a lender's reviewer finds them.
- Internal estimate validation before bid submission
- Schedule feasibility checks
- Contract language and risk review
- Change-order impact modeling
How an Engagement Works
From secure document intake to delivered report — typically in a fraction of the time of a manual review.
Secure Intake
Client uploads plans, contracts, estimates, and supporting documents through an encrypted portal. Any file format — we'll parse it.
AI Extraction
Documents are processed through our LLM pipeline. Scope, cost, schedule, and contract terms are extracted into a structured review record.
Automated Analysis
Math validation, market benchmarking, anomaly detection, plan-to-estimate crosswalk, and contract audit run in parallel.
Human Review
A construction professional reviews every AI-surfaced finding, applies judgment, and classifies each item PASS, FLAG, or FAIL.
Deliverable
Formatted report with executive summary, detailed findings, and recommended conditions — drop-in ready for a credit file or investment memo.
Ongoing Intelligence
Optional portfolio dashboard with real-time draw monitoring, schedule variance alerts, and cross-project benchmarking.
Why JDMC
AI-accelerated, human-validated. Models surface findings fast. A construction professional validates every one before delivery. You get speed without giving up defensibility.
Construction-literate models. Our prompts, reference libraries, and validation logic are tuned by people who have actually read plans, managed budgets, and run draws — not generic document-AI tooling.
Structured output by default. Every deliverable is classified, sourced, and traceable. Findings drop straight into underwriting files, credit memos, and investor reports without rework.
Built for portfolios. What works on one deal scales to hundreds. Cross-project benchmarking, contractor performance tracking, and pipeline-level anomaly detection come standard.
Private and secure. Client documents are processed in isolated environments. We do not train public models on your data.
See the tooling in action.
Bring us a real file — a renovation loan package, a contractor proposal, a pipeline of deals — and we'll show you what AI- accelerated review looks like on your own documents.
Request a Demo