Use Cases

Loan Administration & Servicing

MightyBot executes loan servicing at scale. Modification requests, payoff calculations, escrow analysis, compliance reporting. Automated. Auditable. In production.

Why MightyBot

MightyBot executes loan servicing workflows end-to-end — processing modification requests, validating insurance certificates, managing escrow analysis, generating compliance reports. 95% faster. 10x throughput per analyst. Every decision documented. Every action auditable. Not AI that assists your servicing team. AI that finishes the work.

The Problem

Loan servicing is high-volume, low-margin, and relentless. Every loan generates continuous tasks: payments, escrow, insurance tracking, correspondence, modifications, regulatory reporting.
Servicing is simultaneously repetitive and exception-prone. A modification requires extracting financials, recalculating terms, evaluating policies. Each exception consumes disproportionate time. At portfolio scale, the options: grow headcount, accept delays, or accept errors.

Volume compounds

Tens of thousands of loans generating thousands of tasks monthly.

Exception-heavy

Routine tasks punctuated by complex edge cases.

Multi-system

Data scattered across servicing platform, documents, and correspondence.

Margin pressure

Can't scale headcount linearly with portfolio growth.

Compliance stakes

Every action must be documented and defensible.

How MightyBot Executes

Document Processing for Servicing Events

Incoming documents classified and extracted automatically. Routed to appropriate workflow. Documents arrive. Processing starts.

Policy-Driven Execution

Servicing guidelines encoded as executable rules — defined in plain English. Enforced consistently. Edge cases handled.

Exception Detection and Handling

Insufficient coverage. Financial deterioration. Escrow shortfalls. Missing documents. Exceptions identified and routed with full context: policy triggered, extracted data, evidence pointers. Not flagged without context. Handled.

Compliance Reporting and Audit Trail

Every action generates a complete audit trail. Why-trail traces each decision to policy and source data. Regulatory reports generated from structured data. Not assembled manually.

"We automated what no one else could."

Servicing at scale requires document processing, policy enforcement, and exception handling in a single compiled operation. They solve easy workflows. We solve hard ones.

95%
Time reduction in production Built Technologies — Production Deployment

Before vs After

After Before

Loan servicing at scale.
Every task executed.
Every decision documented.

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FAQ

Frequently Asked Questions

Does MightyBot integrate with our servicing platform?

Wraps around Black Knight, Fiserv, FICS, Built Technologies, or proprietary servicing systems via APIs. No migration. No rip-and-replace. The integration is the product.

How does MightyBot handle insurance tracking?

Carrier, coverage, named insured, and expiration are extracted automatically and validated against loan requirements. Deficiencies are flagged and notices can be generated from the same workflow.

Can MightyBot process modification requests end-to-end?

Updated financials are extracted, eligibility is evaluated against your policies, terms are recalculated, and the modification package is assembled with the evidence trail attached.

What about escrow analysis?

Projected disbursements are calculated, compared against the current balance, and any shortage, surplus, or deficiency is determined per RESPA and your institution-specific policies.

How does MightyBot support regulatory exams?

Every action includes a why-trail linking back to the governing policy and source data so an examiner can verify any decision without requiring the team to reconstruct it manually.

Does MightyBot handle borrower correspondence?

Yes. Payment notices, escrow letters, insurance notifications, and other correspondence can be generated from your templates and governed by the same servicing policies.