MightyBot and Built Launch Draw Agent: AI Agents for Construction Lending That Actually Ship
MightyBot has partnered with Built to launch Draw Agent-an agentic AI system that moves construction loan draw reviews from manual checks to precise, policy-driven execution. It's the first public proof that autonomous agents can handle high-stakes financial workflows at scale with accuracy, oversight, and audit trails. The opportunity is big: operations teams represent a $300B efficiency gap.
Why it matters
Most AI in regulated industries stalls on trust, compliance, and integration. Draw Agent shows a different pattern: autonomy with strong controls, full traceability, and human sign-off where it counts. It sets a workable model for product and operations teams who need impact without re-architecting everything.
"Operations teams are drowning in repetitive but essential tasks where errors are costly," said John Forrester, CEO of MightyBot. "Draw Agent proves that end-to-end autonomy with rigorous controls isn't just possible but is already delivering competitive advantages for customers across regulated industries. This is AI moving from promise to production."
How Draw Agent works
MightyBot turns business rules into autonomous agent workflows built for regulated environments. The focus is policy enforcement, explicit controls, and clean handoffs to humans for judgment calls.
- Policy-first execution that applies lender requirements consistently
- Human-in-the-loop checkpoints for oversight and key decisions
- Built-in auditability and explainability for compliance
- Scalable automation that plugs into existing systems
Built applied this to one of construction finance's biggest bottlenecks: processing loan draws. Their platform brings together capital providers, owners, developers, and builders to manage budgets, draws, and payments-Draw Agent accelerates disbursements while reducing risk.
"MightyBot's platform seamlessly integrated into our tech stack without any re-architecture," said Thomas Schlegel, VP of engineering at Built. "They plugged in as an AI exoskeleton for our existing platform, enhancing our capabilities without disruption. Built teams have greatly benefited from the AI-first ways of working MightyBot introduced. Together, their technology and our platform helped us bring this incredibly powerful product to market in weeks, not years. We're extremely excited and proud of the results we're delivering for our customers, reducing time on task by nearly 95% and accelerating draws to borrowers by up to 60%."
Results in production
- 99%+ accuracy across thousands of construction loans
- 95% time reduction on draw reviews-completed in as few as three minutes
- 30-60% faster from borrower request to funding
- 4x more risks detected versus human-only reviews
- 100% policy adherence with documented audit trails
What this means for IT and product teams
- Start with policy, not prompts: codify lender rules and exceptions before automating.
- Make oversight explicit: require human sign-off for edge cases and thresholds.
- Integrate as an "exoskeleton," not a rip-and-replace: attach agents to current workflows and data.
- Ship with audit by default: store decisions, inputs, outputs, and reasons for every action.
- Measure what moves the needle: accuracy, turn time, risk detection, and policy adherence.
- Design safe fallbacks: clear escalation paths when policies or data are ambiguous.
Implementation notes for developers
- Map policies to machine-enforceable checks and outcomes; keep a human gate for exceptions.
- Use event streams to capture agent steps and decision rationales for compliance review.
- Version policies like code; tie model changes to policy versions for traceability.
- Monitor drift with canaries and shadow runs before full rollout.
Compliance and risk alignment
If you're building similar systems, align controls and documentation with established guidance like the NIST AI Risk Management Framework. Treat every agent action as auditable, explainable, and reversible.
Level up your AI operations skills
Exploring AI for financial operations or loan workflows? These resources can help your team move from pilot to production:
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