Automation your examiners can read.
Community and regional banks, credit unions, wealth and asset managers, investment funds, insurance carriers, and mortgage lenders — all run on documents, deadlines, and supervision. We build AI systems that clear the queue, keep a person on every decision, and write the audit file as they work.
Who we build for
Pick your charter. The use cases sharpen from there.
Six sub-sectors, one discipline — scoped inside the workflow, built to written acceptance criteria, operated under monitoring after go-live.
Community & regional banks
Banks where the intake queue, the exception log, and the exam request list all land on the same short-staffed operations team.
Commercial lending intake
Loan packages classified and extracted the day they arrive — financials, tax returns, rent rolls, entity documents — with low-confidence items routed to your intake team for review.
Deposit-operations exception handling
Return items, disputes, and adjustment exceptions triaged from your core banking data and drafted for resolution — an operator approves every action before it posts.
BSA/AML alert triage support
Alert narratives assembled from transaction history and KYC records to support analyst review. Disposition stays with your BSA analyst, every time.
Examiner-request document assembly
First-day letter items pulled from source systems with lineage attached — assembled for compliance review, not rebuilt over a weekend.
The exam becomes a retrieval, not a reconstruction.
Every stage keeps a person in charge — and writes its evidence as it runs, so the trail exists before anyone asks for it.
Every action logged as it happens · the audit file builds itself
The exam becomes a retrieval, not a reconstruction.
Every stage keeps a person in charge — and writes its evidence as it runs, so the trail exists before anyone asks for it.
- IntakeDocuments classified and extracted on arrival — exceptions routed to a person
- VerifyFiles checked against source systems and your checklists; gaps flagged the same day
- Decision supportCited summaries in front of the human who decides — approval never moves
- DocumentationRationale, actions, and evidence written to the file as the work happens
- MonitoringModel performance tracked against documented thresholds, reported on schedule
- ExaminationFirst-day letter items assembled from a log that already exists
Every action logged as it happens · the audit file builds itself
Design principle
Built for the three audiences
Every system we field in this sector answers to three people at once — the customer waiting on a decision, the operator carrying the queue, and the examiner who arrives months later. A design that fails any one of them fails.
The customer
Faster answers
Intake that clears in hours instead of days, one request for missing items instead of five, and a decision that never waits on rekeying.
The operator
Less rekeying
Documents arrive classified and extracted; exceptions arrive with the evidence attached. The queue holds judgment calls, not copy-paste.
The examiner
A complete trail
Every automated action logged with inputs, outputs, and the human who signed — retrievable by file, by date, or by rule.
One lending file, three views
A commercial loan file moving through an intake system we build — and what each audience sees at every step.
- 01
Application arrives
Customer
Gets a confirmation and a complete document checklist the same afternoon.
Operator
Sees the package classified and extracted — nothing rekeyed.
Examiner
Finds receipt, classification, and confidence scores already logged.
- 02
File verified
Customer
Gets one request for what's missing — not five over three weeks.
Operator
Works exceptions with the evidence attached, not a shared inbox.
Examiner
Finds every check, outcome, and override on the record.
- 03
Credit decision
Customer
Gets an answer in days — the file never sat in a scanning queue.
Operator
Reviews a cited summary; the approval is theirs to sign.
Examiner
Finds the human signature, timestamped, with the rationale attached.
- 04
File complete
Customer
Closes without a last-minute paperwork scramble.
Operator
Skips the cleanup pass — the file was complete as it was built.
Examiner
Retrieves the whole trail in minutes, not over a weekend.
What's in the way
The problems we see across the sector
Manual document operations
Onboarding packets, claims files, and loan documents still move by email and rekeying — slow, expensive, error-prone.
Model-risk expectations
SR 11-7 and its cousins mean every model needs documentation, monitoring, and a validation story before it touches production.
Customer response times
Clients expect same-day answers; compliance requires that every answer be right and every interaction logged.
What we build
Tailored to the sector, not adapted to it
Document intake & processing
Classification, extraction, and exception routing for onboarding, claims, and underwriting files — with human review on low-confidence items.
Explore the practicePolicy-grounded client response
Agents that answer from your approved policy library, cite the source, and log the exchange for supervision.
Explore the practiceRisk & operations analytics
Reporting pipelines that reconcile to source systems, built for month-end close and examiner requests alike.
Explore the practice“Intake that took our team four days now clears in one, and the audit file builds itself as the work happens.”
Head of operations · Commercial lending · Regional commercial bank
Related
Go deeper
Case study
Commercial lending intake, four days to one
A commercial bank cut lending document intake time 75% with classification and extraction that builds its own audit file as the work happens.
Read the case studyResource
Measuring AI ROI — acceptance criteria that hold up
How to write acceptance criteria that hold up — the same discipline that carries a system through model-risk review.
Get the whitepaperFinancial services
Bring us the queue. We'll bring the evidence trail.
A two-week scoping phase inside your real workflow — reading real files, timing real queues, and writing signed acceptance criteria with your compliance and model-risk teams before anything gets built. Scope → Build → Operate.