Industries

AI Agents for Real Estate & Construction Finance

MightyBot automates construction draw reviews -- the workflow that broke every automation tool for 30 years. $100B+ processed. Many institutions. 70% faster. 95% less time on task.

Why MightyBot

Construction draw automation is now table stakes: $1.19B market in 2026. The question is execution quality, audit trails, and policy enforcement. MightyBot runs through Built Technologies: $100B+ in construction lending across many financial institutions. 70%+ time reduction. 95% less time on task. 60% faster funding to borrowers. Ready for March 2026 AI disclosure requirements.

The Workflows No One Else Can Solve

Draw Automation Is Table Stakes

Construction loan management software market: $1.19B in 2026, growing to $2.65B by 2035. The question is no longer whether to automate. It is execution quality, audit trails, and policy enforcement.

Photo Evidence Verification

MightyBot analyzes progress photos against the draw schedule and prior reports. Claimed completion is checked against what the image actually shows.

CRE Underwriting

Debt service, lease rolls, appraisals, guarantor support, sponsor strength, and policy tests run together instead of sequential analyst handoffs.

Ongoing Servicing

Exception monitoring, reserve management, covenant tracking, and portfolio servicing follow the same on-policy execution engine.

How MightyBot Executes

Draw Reviews -- The Proof Case

The hardest workflow in real estate. MightyBot executes it in production at institutional scale through Built Technologies.

Enterprise Connectivity

Connects into your existing draw and servicing platforms. No rip-and-replace. No new system of record.

Edge Cases Handled

Not sent to a dead-end queue. Routed with full analysis context. Reviewers decide faster because the work is already assembled.

Policy to Production. Same Day.

Retainage, lien waiver thresholds, inspection stages. Define rules in plain English. Deploy them today.

Production Results

Metric Result
Construction lending processed $100B+
Institutions served Many
Draw processing time reduction 70%+
Manual interactions 80% fewer
Time-on-task reduction Up to 95%
Draw-to-borrower acceleration Up to 60%
Loan administrator throughput 10x
Document accuracy 99%+

95% time reduction in production - Built Technologies
It doesn't assist your team. It finishes the work.

See draw reviews in production.

Real packages, real policies, institutional scale. Not a demo. In production.

Request a demo

FAQ

Frequently Asked Questions

What makes construction draw reviews so hard to automate?

Extreme document variability from multiple parties. Photo evidence must match construction schedules. Cross-document validation where every line item must reconcile. Every other tool broke. MightyBot handles all of them.

How does MightyBot verify construction progress from photos?

Photos analyzed in context of the specific draw request. Progress compared against schedules, prior reports, and claimed completion. Discrepancies flagged with evidence and milestone references.

How does the Built Technologies partnership work?

MightyBot is the execution layer within Built's platform — classification, extraction, photo analysis, policy evaluation. Built handles orchestration and lender interfaces. 200+ institutions, $100B+. The integration is the product.

Can MightyBot handle our specific draw review policies?

Institution-specific rules in plain English — retainage, lien waiver thresholds, inspection criteria, budget variance tolerances. Pre-built policies ship out of the box. No engineering for ongoing changes.

Does MightyBot support CRE lending beyond construction?

Full CRE lifecycle — acquisition, refinancing, bridge, permanent financing. Rent rolls, operating statements, appraisals all processed with the same intelligence and policy enforcement.

What is the implementation timeline?

Weeks to production. Start with draw reviews. Pre-built policy library covers standard workflows. Expand to CRE underwriting and servicing from there. No multi-year project.