Applied AI for work that has to survive an audit.

• The same document, ten thousand times

  Loan files, statements, KYC packets. Analysts read the same handful of document types all year, and the reason a person does it is defensibility, not difficulty.

• Exceptions eat the week

  Straight-through cases already clear themselves. Your team spends its week on the few that don’t, chasing missing pages and reconciling figures that refuse to tie.

• A black box is unusable

  Model risk management and your examiners want to know how a decision was reached. A system that’s right 95% of the time is worth nothing if it can’t show the work.

• The core has no API

  The system of record is a mainframe or a vendor platform with a nightly batch file. Anything real-time has to be engineered around it, and most vendors quietly assume it away.

• Loan document review

  Ingests the file, extracts borrower, collateral, and covenant terms, and flags anything that doesn’t tie to the application. Audit-ready summary attached to the loan record.

  Doc store → extraction → origination system

• KYC and onboarding packets

  Assembles the packet, verifies each document against the requirement list, and returns a single exception list instead of five separate email threads.

  Intake → verification APIs → CRM

• Transaction exception handling

  Works the break queue: pulls both sides of the record, proposes the reconciliation with its reasoning, and escalates only what a person genuinely has to judge.

  Core → ledger → exception queue

• Regulatory report drafting

  Pulls the period figures, drafts the narrative sections, and cites the source system and timestamp behind every number in the filing.

  Warehouse → reporting layer → filing draft

• Client servicing requests

  Reads the inbound request, retrieves account context under the requester’s own permissions, completes the change, and logs it. Handoff to a person is clean when it happens.

  Email or portal → core → CRM

• Multimodal AI

  Statements, tax returns, and scanned packets read and structured, every figure traced to its page.

  Documents, images, and forms become structured data without anyone keying them in.

• Reasoning systems

  Underwriting and policy rules applied case by case, with the reasoning shown for model risk review.

  Models work through policy, rules, and edge cases, and show how they reached the answer.

• Agentic workflows

  The exception queue worked end to end; analysts approve the proposals instead of building them.

  Multi-step processes run end to end. People approve the exceptions instead of doing every step.

• MCP & agent interoperability

  Scoped, auditable access to the core and CRM under the permissions you already manage.

  Your software gains a second kind of user: agents, with scoped and auditable access to act.

1. 01Advise

   Instrument the queue

   We shadow the analysts and measure volume by document type, exception rate, time per file, and where rework originates. Workflows come back ranked by defensibility, not only by hours saved.

2. 02Engineer

   Through the core you actually have

   APIs where they exist, batch files and message queues where they don’t, deployed in your own tenant. Your loan files, policy manuals, and guidance become the layer every answer traces back to.

3. 03Operate

   Drift shows up as a number

   Extraction accuracy tracked against a labelled set, cost per file, and exception rate over time, with an engineer who owns the system after launch.

Other industries

• Healthcare
• Field Service
• Ed Tech
• Private Equity