LENDING USE CASES

Construction Draw Review

MightyBot automated construction draw reviews. 90-minute reviews done in minutes. 99%+ accuracy. Every policy enforced. In production today.

Why MightyBot

MightyBot automated construction draw reviews - the workflow that broke every automation tool for 30 years. 90-minute reviews in minutes. Every policy enforced. Every decision traceable. 99%+ accuracy. In production today.

Automate Construction Draw Reviews

Every draw request arrives as 50-200 pages - lien waivers, invoices, inspection reports, change orders, budget line items, jobsite photos. Different formats every time. MightyBot processes the entire packet, enforces every policy, and produces audit-ready approvals in minutes.

The Problem

A single draw review requires cross-referencing every document against the approved budget, verifying lien waivers match payment history, confirming inspections support work claimed, and flagging violations - before releasing funds. At scale, lenders face an impossible choice between speed and thoroughness. Inconsistency across reviewers compounds everything.

Document parsing

Inspection reports, invoices, lien waivers, budgets in different formats every time

Photo validation

Verify completion claims against photographic evidence across dozens of images

Cross-referencing

Match submissions to approved line items and loan-specific policies

Calculations

Disbursement amounts, retainage holdbacks, budget variance - zero error tolerance

Policy enforcement

Lender rules vary by loan type, borrower, project phase, and jurisdiction

Documentation

Full evidence trail linking every decision to source data

How MightyBot Executes

Parallel document intake

Entire packet ingested and classified simultaneously. Lien waivers, invoices, reports, change orders, photos.

Budget reconciliation

Every amount validated against original allocation, prior draws, remaining balance, retainage. Discrepancies flagged with source evidence.

Lien waiver validation

Cross-referenced against payment history. Conditional-to-unconditional upgrades verified. Missing waivers flagged before fund release.

Deterministic policy enforcement

Retainage, inspection requirements, draw limits, over-budget thresholds enforced identically every time. Edge cases handled.

Exception routing

Exceptions routed with full context and evidence. Reviewers make decisions - they don't reprocess.

Before vs After

Construction draw review — after MightyBot Construction draw review — before MightyBot

Production Metrics

70%+

Reduction in draw processing time

95%

Accuracy on extraction and policy evaluation

10×

Throughput increase per underwriter

5x

ROI at $125 per draw pricing

No one else has done this.

The workflow that broke every automation tool for 30 years. We automated it.

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FAQ

Frequently Asked Questions

How long does it take to deploy?

Weeks, not months. MightyBot's 200+ policy library covers standard construction lending rules. Your policies are configured in parallel with technical integration. Policy to production. Same day.

Can MightyBot handle inconsistent formats from different contractors?

Every contractor submits differently - that's the point. The Data Engine processes PDFs, scans, photos, and varied layouts. Canonicalization maps different field names to a consistent schema.

What happens when MightyBot finds a policy exception?

Exceptions are routed to a human reviewer with full context: policy triggered, extracted data, and evidence pointers to the source page. Reviewers decide on exceptions - they don't reprocess the draw.

Does MightyBot replace our loan origination system?

No. MightyBot wraps around your existing LOS, document management, and core banking via APIs. Results flow back automatically. The integration is the product.

How does MightyBot handle retainage and change orders?

Retainage is tracked against policy requirements. Balances are recalculated when change orders modify the budget. Change orders are validated against approval authority thresholds.

What audit trail does MightyBot produce?

Every decision includes a why-trail tracing to the policy rule, extracted data, and source document pages. Evidence pointers let auditors verify any finding without re-reviewing the full packet.