AI for Loan Servicers

What you do today

You process incoming payments, apply them correctly to principal, interest, escrow, and fees, and handle payment exceptions like partial payments, misapplied funds, and returned checks.

AI that applies

AI automates payment application according to loan terms, routes exceptions for review, and reconciles payment discrepancies across systems automatically.

How it works

For process loan payments and adjustments, the system draws on the relevant operational data and applies the appropriate analytical models. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

You analyze escrow accounts annually, adjust payments for tax and insurance changes, process escrow shortages and surpluses, and ensure properties remain properly insured and taxes paid.

AI that applies

AI projects escrow needs based on tax and insurance trends, calculates optimal payment adjustments, and automates the annual escrow analysis process.

How it works

The system ingests tax and insurance trends as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

You handle loan payoffs, calculate final figures, process loan assumptions when properties sell, and manage transfers between servicers — ensuring accuracy and regulatory compliance.

AI that applies

AI calculates payoff amounts with per-diem interest, validates transfer data integrity, and automates the document generation for payoff statements.

How it works

For process payoffs, assumptions, and transfers, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

You follow RESPA, TILA, FDCPA, and state-specific regulations in every borrower interaction — proper notices, timing requirements, and disclosure rules that carry serious penalties for violations.

AI that applies

AI monitors compliance requirements, auto-generates required notices at proper intervals, and flags potential regulatory violations before they occur.

How it works

The system ingests compliance requirements as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The output — required notices at proper intervals — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

When properties are damaged, you manage insurance claim proceeds, ensure repairs are completed, and protect the lender's collateral interest throughout the restoration process.

AI that applies

AI tracks claim status, validates contractor documentation, and monitors repair progress against disbursement schedules automatically.

How it works

The system ingests repair progress against disbursement schedules automatically as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

You prepare investor reports showing collections, delinquencies, prepayments, and modifications — remitting funds and data according to pooling and servicing agreement requirements.

AI that applies

AI automates investor reporting by compiling data across loan portfolios, validating against PSA requirements, and generating compliant remittance reports.

How it works

The system aggregates data from multiple operational systems into a unified analytical layer. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a structured view that highlights exceptions, trends, and items requiring attention — available in the existing tools without switching systems.

What you do today

When borrowers can't make payments, you evaluate them for modification programs, repayment plans, forbearance, or other workout options — balancing borrower relief with investor requirements.

AI that applies

AI scores borrowers for modification eligibility, suggests optimal workout options based on financial profiles, and generates required documentation packages.

How it works

The system ingests financial profiles as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — required documentation packages — surfaces in the existing workflow where the practitioner can review and act on it.

What you do today

You contact delinquent borrowers, assess their situations, set up payment arrangements, and escalate to foreclosure or collections when resolution isn't possible.

AI that applies

AI prioritizes delinquent accounts by severity and cure probability, suggests outreach timing and messaging, and automates initial contact attempts.

How it works

For manage delinquent accounts, the system draws on the relevant operational data and applies the appropriate analytical models. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

You answer calls, emails, and portal messages from borrowers about their loans — payment questions, statement issues, insurance requirements, and general account questions.

AI that applies

AI chatbots handle routine inquiries (balance checks, payment due dates, statement requests), routing complex questions to you with full account context.

How it works

For respond to borrower inquiries, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

You respond to QC reviews, regulatory exams, and investor audits — pulling loan files, explaining decisions, and remediating any findings.

AI that applies

AI pre-assembles audit packages, identifies potential findings before examiners do, and tracks remediation progress across all open items.

How it works

The system ingests remediation progress across all open items as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.