Financial Services Analytics Consulting

Frequently asked questions

Financial Services data work that holds up under scrutiny.

Why financial services data projects stall.

What financial services clients ask before they engage.

Often paired with Financial Services engagements.

Ready to build data your examiners can follow?

Five departments, five different versions of the same problem.

Core operations (lending, account onboarding)

Finance and accounting

Customer service

Shared services (procurement, vendor management)

IT and transformation

Do you work with core banking systems like FiServ, Jack Henry, or Temenos?

Yes. We've worked with all major core banking platforms. We build the semantic layer and metric definitions on top of your existing core rather than replacing it, which means your existing processes and historical data are preserved.

We document the lineage from every regulatory metric back to its source system, build the governance framework that certifies each metric, and produce the data room documentation that examiners expect. The goal is zero surprises in the exam.

Yes. We build automated pipelines from your general ledger and core system to the FFIEC call report format, with validation checks that catch errors before submission. Most banks reduce call report preparation time by 50 to 70 percent.

We work with community banks, regional banks, and credit unions ranging from $500M to $20B in assets. The regulatory challenges are similar across this range; the complexity of the data environment scales with asset size.

Financial services data analytics consulting for banks and credit unions. ALCO reporting, credit risk metrics, and regulatory exam-ready pipelines.

Data and analytics consulting for banks, credit unions, and financial services firms.

We've rebuilt metric layers for ALCO reporting, credit risk, and call report pipelines at regional banks. Zero MRAs in the next exam cycle is the outcome we target.

Start with a 30-day Analytics Truth Audit. We identify exactly what is broken and give you a 90-day roadmap to fix it.

Core operations (lending, account onboarding), owned by COO, Head of Lending Operations, Head of Onboarding.

Onboarding a new account or loan takes two weeks and three people.

KYC documents collected by email, verified by hand, routed to underwriting and approval with no tracking; incomplete files bounce days later.

Agent collects and extracts documents, runs identity and sanctions checks, assembles the file, routes to underwriter only for exceptions, logs every step; final approval stays with a person.

Measured on Onboarding cycle time, files per underwriter per day, abandonment rate.

The work behind it: AI agents and workflow automation, Document processing, Human-in-the-loop operations design, Workflow and system integration, Proof of concept.

Financial firms building their own GenAI see more failures than those using a partner (MIT NANDA); 60% of CFOs raising AI spend in finance 10%+ (Gartner).

Finance and accounting, owned by CFO, Controller, VP Finance.

Close takes three weeks and nobody trusts the first number.

Bank, ledger, and sub-ledger matching done by hand; exceptions investigated in spreadsheets; journal approvals by email.

Process mining baselines where close time goes; agent auto-matches, investigates exceptions against source data, drafts journals, routes approvals to the controller.

Measured on Days to close, unmatched items at day 5, restatements.

The work behind it: AI agents and workflow automation, Process mining, Human-in-the-loop operations design, Workflow and system integration.

Treasury ranks cash forecasting its number one 2026 objective, data quality the top obstacle (NeuGroup 2026).

Customer service, owned by Head of Client Service, VP Operations.

Simple requests sit in a queue behind disputes.

Address changes, statements, fee reversals, and disputes all land in one inbox and are worked in arrival order.

Agent resolves routine servicing end to end; disputes, fraud flags, and anything over a dollar threshold escalate to a person; evaluation suite proves accuracy before launch.

Measured on First response time, percent resolved without a person, complaint rate.

The work behind it: AI agents and workflow automation, Human-in-the-loop operations design, Agent evaluation and QA.

Gartner expects agents to resolve 80% of common service issues without a person by 2029.

Shared services (procurement, vendor management), owned by VP Shared Services, Procurement Director, AP Manager.

Vendor setup takes a month and we still pay duplicates.

W-9 collection, sanctions screening, bank verification, and three-way match done manually with no single owner.

Agent collects vendor documents, runs screening, verifies banking, matches invoice to PO and receipt, flags duplicates and anomalies before payment.

Measured on Vendor setup days, duplicate payment rate, invoices touched by a person.

The work behind it: AI agents and workflow automation, Document processing, Process mining, Workflow and system integration.

Fraud and financial crime screening is one of the most established AI uses in financial services.

IT and transformation, owned by CIO, Head of Risk Technology, Enterprise Architect.

Risk won't approve the agent because they can't see what it did.

No action log, no permission boundary, no kill switch, no rollback plan for automation touching core systems.

Each agent gets a role, an allowed action set, spend and approval gates, and a complete audit trail; evaluation pack delivered to risk before release.

Measured on Time from build to risk approval, incidents per 1,000 actions, rollback count.

The work behind it: AI agents and workflow automation, Human-in-the-loop operations design, Agent evaluation and QA, Workflow and system integration.

40% of companies will roll back autonomous agents by 2027 over governance gaps (Gartner, May 2026).