A field guide to the financial back office
Practical guidance for bank operations, compliance, risk, fraud, and lending teams building governed AI into real workflows.
Operating guidance by function.
Filter by the bank function responsible for the workflow. Guides may appear in more than one function when the operating decision crosses teams.
All functions
Guidance spanning regulated workflows, governance decisions, and operating models across the financial back office.
Business email compromise investigations
A guide for bank fraud teams bringing payment records, beneficiary details, communications, and conflicting accounts into a source-linked case file for investigator review.
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Prepare repayment evidence for commercial credit review
A guide for credit operations teams assembling borrower records, reconciling financial inputs, and documenting exceptions so underwriters can review the repayment case.
Read guide
How to run enhanced due diligence at a bank
A practical, risk-based EDD operating model for evidence, exceptions, human judgment, and review-ready output.
Read guide
Scale AML capacity before the team hits the cliff
Add governed operating capacity before a program launch, partner ramp, or alert spike forces another urgent hiring cycle.
Read guide
Assemble the AML case file before the analyst opens it
Automate the gathering, source checking, and synthesis that consumes investigation time without automating away the decision.
Read guide
Can you defend the AI back test to an examiner?
Move beyond security checklists with evidence for model validation, drift ownership, runtime controls, and human oversight.
Read guide
Build vs. buy AI agents for banking operations
Compare the full production lifecycle: validation, runtime, integrations, domain context, monitoring, and operating accountability.
Read guide
When compliance capacity becomes the growth bottleneck
Shorten KYC, KYB, EDD, and onboarding review so the bank can support new customers, partners, and programs.
Read guide
An alternative to recurring AML consultants and staff augmentation
Compare specialist advice, temporary labor, traditional outsourcing, and AI-native managed operations using the bank’s own business-case units.
Read guide
Reduce the work behind AML alert reviews
Prepare sourced evidence for analyst review in the systems you already use. Measure handling-time gains separately from changes in false-positive volume.
Read guide
How to evaluate AI compliance software beyond the demo
Find out what the system actually executes, how it integrates, where humans intervene, and whether its evidence survives model-risk review.
Read guide
Automate the workflow, not another silo
Connect evidence, procedures, case systems, quality control, and human review across financial-crime operations.
Read guideCompliance
Scale AML and due-diligence work while preserving policy execution, evidence, review, and accountability.
Business email compromise investigations
A guide for bank fraud teams bringing payment records, beneficiary details, communications, and conflicting accounts into a source-linked case file for investigator review.
Read guideHow to run enhanced due diligence at a bank
A practical, risk-based EDD operating model for evidence, exceptions, human judgment, and review-ready output.
Read guideScale AML capacity before the team hits the cliff
Add governed operating capacity before a program launch, partner ramp, or alert spike forces another urgent hiring cycle.
Read guideAssemble the AML case file before the analyst opens it
Automate the gathering, source checking, and synthesis that consumes investigation time without automating away the decision.
Read guideWhen compliance capacity becomes the growth bottleneck
Shorten KYC, KYB, EDD, and onboarding review so the bank can support new customers, partners, and programs.
Read guideAn alternative to recurring AML consultants and staff augmentation
Compare specialist advice, temporary labor, traditional outsourcing, and AI-native managed operations using the bank’s own business-case units.
Read guideReduce the work behind AML alert reviews
Prepare sourced evidence for analyst review in the systems you already use. Measure handling-time gains separately from changes in false-positive volume.
Read guideHow to evaluate AI compliance software beyond the demo
Find out what the system actually executes, how it integrates, where humans intervene, and whether its evidence survives model-risk review.
Read guideAutomate the workflow, not another silo
Connect evidence, procedures, case systems, quality control, and human review across financial-crime operations.
Read guideRisk
Evaluate model controls, deployment choices, and defensibility before AI enters regulated production workflows.
Prepare repayment evidence for commercial credit review
A guide for credit operations teams assembling borrower records, reconciling financial inputs, and documenting exceptions so underwriters can review the repayment case.
Read guideHow to run enhanced due diligence at a bank
A practical, risk-based EDD operating model for evidence, exceptions, human judgment, and review-ready output.
Read guideCan you defend the AI back test to an examiner?
Move beyond security checklists with evidence for model validation, drift ownership, runtime controls, and human oversight.
Read guideBuild vs. buy AI agents for banking operations
Compare the full production lifecycle: validation, runtime, integrations, domain context, monitoring, and operating accountability.
Read guideHow to evaluate AI compliance software beyond the demo
Find out what the system actually executes, how it integrates, where humans intervene, and whether its evidence survives model-risk review.
Read guideFraud
Reduce investigation work around evidence gathering, case preparation, false positives, and exception handling.
Business email compromise investigations
A guide for bank fraud teams bringing payment records, beneficiary details, communications, and conflicting accounts into a source-linked case file for investigator review.
Read guideAssemble the AML case file before the analyst opens it
Automate the gathering, source checking, and synthesis that consumes investigation time without automating away the decision.
Read guideReduce the work behind AML alert reviews
Prepare sourced evidence for analyst review in the systems you already use. Measure handling-time gains separately from changes in false-positive volume.
Read guideAutomate the workflow, not another silo
Connect evidence, procedures, case systems, quality control, and human review across financial-crime operations.
Read guideLending
Automate document gathering, financial spreading, policy checks, and credit-file preparation while underwriters retain judgment.
Other operations
Plan capacity, service models, and cross-functional workflows that expand back-office throughput without another disconnected queue.
Business email compromise investigations
A guide for bank fraud teams bringing payment records, beneficiary details, communications, and conflicting accounts into a source-linked case file for investigator review.
Read guideScale AML capacity before the team hits the cliff
Add governed operating capacity before a program launch, partner ramp, or alert spike forces another urgent hiring cycle.
Read guideBuild vs. buy AI agents for banking operations
Compare the full production lifecycle: validation, runtime, integrations, domain context, monitoring, and operating accountability.
Read guideWhen compliance capacity becomes the growth bottleneck
Shorten KYC, KYB, EDD, and onboarding review so the bank can support new customers, partners, and programs.
Read guideAn alternative to recurring AML consultants and staff augmentation
Compare specialist advice, temporary labor, traditional outsourcing, and AI-native managed operations using the bank’s own business-case units.
Read guideAutomate the workflow, not another silo
Connect evidence, procedures, case systems, quality control, and human review across financial-crime operations.
Read guide