AI automation for lending operations

Mined from evidence.
Forged into action.

Kaji turns tax returns, rent rolls, appraisals and bank statements into validated data, decisions and actions, on top of the systems you already run, and learns from every reviewer correction. No rip-and-replace.

30 minutes. A focused pilot on your documents, measured against your own baseline.

kaji — loan pipeline, live ●ingesting ◐extracting ◉in review ✓completed
loan file doc type status fields
202604492 Harborview Properties LLC Cert.pdf Certificate of Standing ✓ completed 14/14
00316 First_Bank_of_Springfield_stmt.pdf Bank Statement ◉ in review 31/33
202604165 Cash-Out_Letter_769_E.pdf Loan Application ◐ extracting —
202604165 FloodCert_769_E_103Rd.pdf Flood Certificate ✓ completed 9/9
202604492 Harborview Properties LLC EIN Letter.pdf EIN ● ingesting —
202604492 AOI - Harborview Properties LLC.pdf Articles of Organization ✓ completed 12/12
Uniform Residential Appraisal Reportp.2 · field 14/65
CityNew Kensingtonbbox [412,188,540,204]✓ data✓ box
StatePAbbox [602,188,628,204]✓ data✓ box
Property RightsFee Simplebbox [220,296,318,310]⚑ route to reviewer
09:41:02 ingest   AOI - Harborview Properties LLC.pdf → Articles of Organization
09:41:05 extract  12 fields · every value linked to page + bbox
09:41:06 validate 12/12 passed · pushed to system of record

Every file tracked from ingestion to review. Every value linked back to its source.

The operating bottleneck

Manual processing consumes capacity.

Critical lending processes depend on information that arrives unstructured, inconsistent and difficult to operationalize. People fill the gap.

Unstructured inputs

  • Emails
  • PDFs
  • Spreadsheets
  • Contracts
  • Documents

The human layer

collect + manual review + rekey + decide + data entry
Capacity absorbed by manual work

Output

Decisions / workflows / reporting

Share of underwriting team time

Traditional flow
Kaji flow

Shifting underwriting teams from data keyers to capital allocators.

The intelligent workflow layer

Kaji runs the credit workflow on top of your existing systems.

Your origination and servicing core stays the system of record. Kaji pulls documents in through APIs, handles the manual work in between, and pushes validated data back. See how it connects →

  1. 01

    Intelligent data ingestion

    Tax returns, audits, rent rolls, appraisals and property data are classified and extracted as soon as they arrive, whatever their format.

    →
  2. 02

    Underwriting automation

    Auto-spreading and cross-document calculations: NOI, DSCR, LTV, LTC, debt yield, reserves and any other ratio your credit policy defines, built from rent rolls, operating statements, appraisals, notes and bank statements, with every input traced to its source page.

    →
  3. 03

    Policy & guideline compliance

    Every loan is checked against your credit policy, investor guidelines and covenant terms, both at underwriting and throughout the life of the loan. Exceptions are flagged with the evidence behind them.

    →
  4. 04

    Evidence-linked validation

    Every extracted value carries its source page and bounding box. Reviewers mark the value and the box correct or incorrect, so review is fast and defensible.

    →
  5. 05

    Continuous learning from every correction

    Each time a reviewer confirms or corrects a value or its bounding box, that decision is captured and used to retrain the models. Your models are tuned to your own documents, workflows and requirements, and get more accurate with every file you process.

    →

Cross-document calculations

Ratios built from every document in the file, not just one.

Underwriting math rarely comes from a single document. Kaji assembles each input from the rent roll, operating statement, appraisal, note, tax bill, insurance declarations and bank statements, then calculates NOI, DSCR, LTV, LTC, debt yield, reserves and any other ratio your credit policy uses. Every input stays linked to its source page, so every result can be traced and defended.

kaji — calculations · loan 202604492 · Harborview Properties LLC ◐calculating ✓traced to source

Source documents

    Calculating —

     
      —  
      Examples shown. Also: global DSCRglobal cash flowDTIcap rateARV-LTVbreakeven occupancyCLTV + any formula your credit policy defines
      --:--:-- calc     10 documents · 14 inputs extracted · each linked to page + bounding box

      Every ratio shows its inputs, and every input shows the document and page it came from.

      Policy & guideline compliance

      Your rules, applied to every loan, with the evidence attached.

      Upload your credit policy, investor guidelines and covenant terms as they are, even as a spreadsheet of questions. Kaji maps each rule to the document types and extracted fields it needs, evaluates it on every file, and sends exceptions to an underwriter with the source evidence attached.

      kaji — rules · Credit_policy_2026.xlsx · loan 202604492 ◐evaluating ✓pass ⚑exception
      269Rules active
      0Evaluated
      0Passed
      0Exceptions routed
      ▾ Credit_policy_2026 · program: DSCR rental · v3 · 269 rules Harborview Properties LLC12 documents
      Document type Question / criteria Required data fields Evidence Result
      --:--:-- rules    269 rules loaded · mapped to document types and schema fields

      Your rules, applied the same way on every file. Every pass and every exception is traceable to the page it came from.

      Works with your systems

      Kaji doesn't replace your loan origination system. It feeds it.

      Your LOS, servicing core and other systems of record stay exactly where they are. Kaji pulls documents from any API-accessible source, handles extraction, validation, rule checks and review, then pushes the results back to your system of record through its API: model output and every human decision, with the evidence attached.

      kaji — integration · API in, API out · loan 202604492 ↓pull · documents ↑push · data

      Your document sources

      • ▣LOS document folder
      • ▤Document management system
      • ◫Borrower portal
      • ☁Cloud storage

      any source with an API

      API · GET

      Kaji workflow layer

      1. ingest & classify
      2. extract · evidence-linked
      3. calculate & apply rules
      4. human review
      5. package results
      API · POST

      Your system of record · LOS / servicing core

      Loan 202604492waiting for Kaji…
      BorrowerHarborview Properties LLC
      Loan amount$412,500
      ProgramDSCR rental
      fields written by Kaji

      Latest API payload · POST /loans/202604492

      // waiting for the first push…
      --:--:-- connect  authenticated · document sources and system of record reachable

      API in, API out. Your system of record stays the system of record, now with the evidence behind every value.

      What stays the same

      • Your LOS, servicing core and data warehouse remain the systems of record
      • Your team keeps working in the screens it already knows
      • No data migration, no rip-and-replace

      What Kaji writes back through your API

      • Extracted values, each linked to its source document, page and location
      • Cross-document calculations such as NOI, DSCR, LTV, debt yield and reserves
      • Rule results and exceptions, with the evidence behind them
      • Reviewer confirmations and corrections
      • Audit trail entries for every value and decision

      From evidence to action

      A traceable path from source document to system update.

      Kaji doesn't just generate an answer. Each step leaves a record you can audit, and every human decision is fed back to make the next extraction better.

      1. 01Source documents
      2. 02Extraction
      3. 03Validation
      4. 04Business rules / models
      5. 05Human review
      6. 06Action / system update

      Human review → continuous learning

      Every review sharpens the model.

      Confirmations and corrections feed straight back into training, so the next file needs less of both.

      kaji — review · Uniform Residential Appraisal Report · R26-000111 ✓confirmed ✎corrected ↻sent to training
      Uniform Residential Appraisal ReportFile # MHCL1734
      Property Address1734 Constitution BlvdCityNew KensingtonStatePAZip15068
      BorrowerMarina Housing LLCCountyWestmoreland
      Legal DescriptionHOUSE-LOT 10 BLK 22 37.10X120XIR
      Assessor's Parcel #02-02-07-0-503Tax Year2026R.E. Taxes $1,347
      OccupantOwner Tenant VacantCensus Tract8002.00
      Property RightsFee Simple Leasehold
      Assignment TypePurchase Refinance
      Lender/ClientTriumph Investment Loans LLC
      Neighborhood
      LocationUrban Suburban RuralValuesStable
      BoundariesNorth and West by the Allegheny River, South by New Kensington-East
      Dimensions28.12x120x37.10x120Area3913 sfZoningR2
      Market ConditionsThe general marketing conditions of this neighborhood are typical. Supply and demand factors appear to be in balance…
      Annotation fields 0/8 reviewed
        CityPage 2Box drawn ✓
        New Kensington

        Data value

        Bounding box

        1. extract
        2. review
        3. correct
        4. retrain
        corrections → training0
        modelv1.14
        field accuracy 97.6%
        --:--:-- review   session opened · 8 fields · evidence-linked

        Confirm or correct, value and box. Every correction is captured, versioned, and used to retrain your models.

        Case study · business purpose lender

        Same standards, less manual effort, faster decisions.

        Kaji runs in production at a business purpose lender for underwriting and QC.

        -70%

        Outsourced analyst headcount

        -4 days

        Time to complete a loan

        98%+

        Field-level extraction accuracy

        • 25,000+ documents processed
        • 100% of values linked to source evidence
        • Exceptions routed to human review

        Before · manual, outsourced

        • ~40 outsourced analysts checking documents and keying data
        • Manual QC on every file
        • ~9 days on average to complete a loan

        With Kaji · automated, evidence-linked

        • Outsourced analysts down ~70%, to ~12
        • Ingestion, data entry and QC checks automated, with human review
        • ~5 days to complete a loan: 4 days faster

        “Kaji cut our reliance on outsourced analysts and gets loans through underwriting days faster.”

        Operations leader, business purpose lender

        Illustrative figures for discussion; replace with client-verified data before external use.

        Why Kaji is different

        AI calibrated to your institution, plus automation of your business rules.

        Capability Kaji Generic LLMs Legacy systems
        Custom model fine-tuning ✓ Yes ✕ Not purpose-built ✕ No
        Evidence-linked extraction & validation ✓ Yes ✕ Not turnkey ✕ No
        Cross-document financial calculations ✓ Yes ✕ Not turnkey ✕ No
        Turnkey managed execution ✓ Yes ✕ No ✕ No

        Governance & control

        Built for regulated lending environments.

        01

        Data protection

        Encryption in transit and at rest, role-based access controls, and client data isolation.

        02

        Full auditability

        Every extracted value links back to its source document.

        03

        Human in the loop

        Reviewers validate exceptions before any action or system update.

        04

        Compliance alignment

        Designed to support lender audit, vendor-risk and model-risk reviews.

        Data governance & observability

        Every value on record traces back to its source.

        Pick any value in your system of record and follow its lineage: the source document, the page and exact location, the model version that extracted it, the reviewer who confirmed it, and when it was written. The link can be checked at any time and the result is logged, so an auditor can see it for themselves.

        kaji — audit trail · loan 202604492 · Harborview Properties LLC ◐tracing ✓source verified
        0/7Values traced
        —Linked to source
        —Document integrity
        0Orphaned values

        System of record · loan 202604492

          Lineage · —

          1. ▣
            System of record—
          2. ◉
            Human review—
          3. ◐
            Extraction—
          4. ▤
            Source document—
          ·Value re-read from source page matches record
          ·Document fingerprint unchanged since ingestion
          awaiting trace
          —

           

          --:--:-- audit    trace requested · 7 values on record

          Nothing on the record without a source. Every link is checkable and every check is logged.

          About Kaji Mindworks

          Built by lending technologists and AI specialists.

          Kaji Mindworks builds AI automation for the document-heavy work behind lending decisions: underwriting, QC, policy compliance and covenant monitoring. We work with business purpose, commercial and mortgage lenders, and with the capital markets firms that buy and securitize their loans.

          Our team brings more than 65 years of combined experience in machine learning, lending technology and mortgage capital markets. We run Kaji as a managed service on top of your existing systems. We calibrate the models to your documents, apply your rules, and measure results against your own baseline.

          鍛冶 Kaji is Japanese for smithing: shaping raw metal into something useful. We do the same with raw loan documents.

          Company
          Kaji Mindworks LLC
          Focus
          AI automation for lending operations
          Delivery
          Managed service, API-integrated with your LOS and servicing systems
          Contact
          hello@kajimindworks.com

          The team

          AI/ML and lending technology, in one team.

          Hiro Hikawa

          Hiro Hikawa, Ph.D.

          Technology Development Lead

          25+ years of experience in AI/Machine Learning, designing and building enterprise applications powered by proprietary AI/ML algorithms, which helped financial institutions turn complex data into accurate predictions and better-informed decisions.

          Education Ph.D. in Statistics, The George Washington University

          Expertise AI/ML, data science, predictive analytics, financial modeling, cloud computing, software engineering

          Gene Swanzey

          Gene Swanzey

          Technology implementation lead

          25+ years as a technical SME in software design and implementation, setting the strategy for system functionality and enhancement requirements.

          Education B.A., Boston College

          Disciplines Financial and regulatory technology, real estate valuation technology, financial modeling, mortgage underwriting, due diligence, mortgage capital markets

          Brad Davis

          Brad Davis

          Subject matter expert

          25+ years in mortgage capital markets and consulting, leading teams at major financial institutions and boutique consulting engagements.

          Education B.A., St. Mary's College of Maryland

          Disciplines Mortgage capital markets, loan sales / acquisitions, securitization, due diligence, operational workflow engineering, program management, underwriting, financial modeling

          How we start

          A focused pilot on your documents and your workflow.

          1. Weeks 1–2

            Scope

            Select one workflow, underwriting spreading or QC. Baseline current time and cost.

          2. Weeks 3–8

            Pilot

            Run Kaji on your loans. Compare cycle time, manual effort and accuracy to the baseline.

          3. Week 9+

            Scale

            Move to production alongside your existing systems. Extend to policy & guideline compliance, including covenant monitoring.

          Next step: a 30-minute working session to scope your pilot.

          No rip-and-replace. Measurable results against your own baseline.

          Contact

          Tell us about your lending operation.

          Share a little about your volume, loan types and the workflow you'd like to automate. We'll follow up to set up a scoping session.

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