Document Processing for Servicing Events
Incoming documents classified and extracted automatically. Routed to appropriate workflow. Documents arrive. Processing starts.
Use Cases
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.
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.
Tens of thousands of loans generating thousands of tasks monthly.
Routine tasks punctuated by complex edge cases.
Data scattered across servicing platform, documents, and correspondence.
Can't scale headcount linearly with portfolio growth.
Every action must be documented and defensible.
Incoming documents classified and extracted automatically. Routed to appropriate workflow. Documents arrive. Processing starts.
Servicing guidelines encoded as executable rules — defined in plain English. Enforced consistently. Edge cases handled.
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.
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.
Servicing at scale requires document processing, policy enforcement, and exception handling in a single compiled operation. They solve easy workflows. We solve hard ones.
FAQ
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.
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.
Updated financials are extracted, eligibility is evaluated against your policies, terms are recalculated, and the modification package is assembled with the evidence trail attached.
Projected disbursements are calculated, compared against the current balance, and any shortage, surplus, or deficiency is determined per RESPA and your institution-specific policies.
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.
Yes. Payment notices, escrow letters, insurance notifications, and other correspondence can be generated from your templates and governed by the same servicing policies.