AI Governance
Adopt AI responsibly & at scale
A practical governance program aligned to the NIST AI Risk Management Framework and federal/state regulatory guidance — so your institution can innovate with AI to attract new customers, improve customer experience, and make lending, risk, compliance, fraud, and IT processes lean, while staying transparent with your board and regulators.
What this service is
From policy to production — without surprises.
FinCyberTech facilitates the implementation of your AI governance program — including structuring your AI Steering Committee — and brings purpose-built, FI-industry tools to accelerate the work: committee charters, policy, templates, surveys/questionnaires, market research, and use-case libraries customized for financial institutions.
We partner with community and regional financial institutions to stand up AI governance that satisfies examiners, protects customers, and unlocks real productivity. We bring the framework, the templates, the vendor playbooks, and the steady hand to take you from first conversation to steady-state in under a year — a future-ready program that adapts as new AI capabilities, vendor risks, and regulatory expectations emerge.
FinCyberTech facilitates the implementation of your AI governance program — including structuring your AI Steering Committee — and brings purpose-built, FI-industry tools to accelerate the work: committee charters, policy, templates, surveys/questionnaires, market research, and use-case libraries customized for financial institutions.
We partner with community and regional financial institutions to stand up AI governance that satisfies examiners, protects customers, and unlocks real productivity. We bring the framework, the templates, the vendor playbooks, and the steady hand to take you from first conversation to steady-state in under a year — a future-ready program that adapts as new AI capabilities, vendor risks, and regulatory expectations emerge.
What’s included
Eight capabilities, one program.
Policy & Governance
NIST AI RMF-aligned policy, Acceptable Use, and AI Governance documentation tailored to your institution.
Steering Committee Setup
Cross-functional AI committee charter, cadence, and board reporting structure.
AI Tools Inventory
Institution-wide AI catalog with use case, risk, legal, budget, and value-added analysis.
Vendor AI Risk Analysis
GLBA / critical vendor AI questionnaires, due diligence, and contract review.
AI Proof of Concept
Controlled deployment of low-risk AI use cases with documented results, lessons learned, and adjustments.
Responsible AI Adoption
Roll-out AI tools that have been fully vetted by the AI Committee and proof-of-concept testing.
Employee Training
AI familiarity baseline, acceptable-use training, and role-based enablement.
Board Reporting
AI risk reporting structured for board oversight and examiner review.
A structured path to responsible adoption
From first conversation to steady-state — in under a year.
90 DAYS
Foundation
Stand up the Steering Committee, finalize the Acceptable Use Policy, inventory existing AI usage, run the employee survey, and survey GLBA vendors.
180 DAYS
Activation
Roll out user training, run business-case and risk assessments, deploy low-risk POCs, complete vendor risk assessments, build the AI roadmap.
180+ DAYS
Steady State
Prioritize high-impact use cases, refine controls, expand training, update vendor contracts, and formalize ongoing monitoring and audit processes.
Where AI actually adds value
AI across customer & internal operations.
Let’s move past policy and Copilot/ChatGPT discussions to where AI will add the most value to your institution: customer-facing applications and every part of internal operations. The institutions that act now will lead.
Note: Representative vendors for illustration, not endorsements or partnerships.
Customer Experience · accelerating growth, deepening relationships & removing friction
Where AI shows up at the front line — in account opening, daily banking, lending, and mortgage workflows.
New Customer & KYC
Digital account opening, automated identity verification, KYC/CIP screening, and OFAC/sanctions checks — onboarding new customers in minutes with audit-ready compliance trails.
Alloy · Persona · Plaid · MANTL · Socure
Banking Experience
24/7 virtual assistants, conversational AI for self-service banking, real-time spending insights, and personalized product recommendations — across mobile, web, and voice channels.
Posh AI · Glia · interface.ai · Kasisto · Personetics
Commercial Lending
Financial spreading, credit memo generation, covenant monitoring, and SBA-ready document analysis — 40–60% reduction in analyst time per deal with examiner-ready audit trails.
Claude · nCino · Abrigo · Aloan · Ocrolus
Mortgage Lending
Borrower communication and document collection, AI-driven document validation and income verification, and underwriting workflows — accelerating clear-to-close while keeping loan officers focused on relationships.
BNTouch · Encompass · nCino · Blend · Ocrolus
Internal Operations · strengthening defenses, improving decisions & ensuring compliance
AI applied to the everyday machinery of running the bank — from marketing through HR.
Marketing
Content & campaigns
- Image & video generation
- Brand-safe content creation
- Email & social campaigns
- Personalized outreach
Adobe Firefly · Google Veo · BNTouch
IT
Productivity & automation
- Monitoring & analytics
- Cybersecurity
- Log reviews
- User access reviews
Copilot/ChatGPT · Claude · Power Automate
FRAUD
Detect, prevent & respond
- Real-time fraud detection
- Behavioral analytics
- Investigation automation
- Account takeover detection
Feedzai · FICO Falcon · NICE Actimize
Risk & Compliance
Anticipate, monitor & control
- Risk identification & scoring
- Scenario & stress testing
- Regulatory monitoring & reporting
- AML/KYC & policy testing
Moody’s · SAS Risk · Ask Poli · Compliance.ai
Accounting
Reconciliation, close & reporting
- Journal entry assistance
- Reconciliation automation
- Variance analysis
- Financial & board reports
Claude · Abrigo Connect · BankBI · BlackLine
HR
People & talent
- Resume screening & sourcing
- Policy & handbook drafting
- Onboarding & training content
- Employee Q&A assistance
Claude · Paylocity AI · Paycom · BambooHR
Where governance shows up in the workflow
Reimagining the underwriting workflow — with humans firmly in the loop.
A side-by-side view of a traditional loan underwriting process against an AI-enabled equivalent — illustrating where time is recovered, where humans remain in the loop, and where governance controls must sit. Cycle time impact: ~70% faster end-to-end.
Traditional Underwriting
Step 01
Application Submission
Customer · 15–30 min
Borrower submits the loan application with tax returns, pay stubs, bank statements, and credit authorization.
Step 02
Document Review
Loan Processor · 30–90 min
Loan processor manually reviews documents to verify income, employment, and broader financial information.
Step 03
Credit & Risk Assessment
Underwriter · 30–60 min
Underwriter evaluates credit score, debt-to-income ratio, collateral value, payment history, and policy fit.
Step 04
Manual Data Entry & Validation
Loan Processor · 20–30 min
Key data is manually entered into underwriting systems and verified against the supporting documentation.
Step 05
Underwriter Review & Decision
Underwriter · 15–30 min
Underwriter determines approval, decline, or request for additional information.
FROM MANUAL → TO AI-AUGMENTED ~70% faster REDUCTION IN CYCLE TIME & EFFORT
AI-Enabled Underwriting
Augmented · Parallel
Step 01
Customer Validation, Income & Cashflow
Customer · 5 min
AI validates identity and analyzes income and cashflow from core banking data — requesting only the documentation needed.
Step 02
Data Validation & Consistency Checks
AI · 1–3 min
AI compares tax-return data with transaction patterns and other sources to flag inconsistencies, gaps, or fraud indicators.
Step 03
AI Risk
Assessment
AI · 10–15 min
Models integrate bureau data, collateral valuations, debt obligations, and income stability. A rules engine verifies policy alignment.
Step 04
AI Loan Dashboard & Recommendation
AI · continuous
The Loan Dashboard updates in real time with borrower data, risk metrics, and supporting docs. AI proposes terms.
Step 05
Underwriter Review — Human Oversight
Underwriter · 10–20 min
Underwriter reviews the AI analysis and supporting detail — confirming or adjusting the recommendation before final decision.
Where governance shows up in the workflow
Speed without governance is exposure.
Each AI-enabled step in the workflow is paired with a control. The six controls below — anchored to SR 11-7, ECOA / Reg B, and NIST AI RMF — are what make the time savings safe to claim and defensible under examination.
Model Risk Management
Documented model lineage, validation, and ongoing performance monitoring aligned with SR 11-7 / OCC guidance.
Bias & Fairness Testing
Pre-deployment and continuous fairness testing across protected classes; ECOA / Reg B alignment.
Explainability on Demand
Per-decision feature attribution available to underwriters, auditors, and adverse-action notices.
Human-in-the-Loop Gate
Underwriter override authority preserved; threshold-based escalation for edge cases and high-risk decisions.
Audit Trail & Lineage
Immutable record of inputs, model version, recommendation, and final human decision — reconstructable on demand.
Data & Privacy Boundary
Customer data handled within defined retention, residency, and access boundaries; consent recorded.
Outcomes
What changes when AI governance is actually in place.
Examiner-ready
NIST AI RMF-aligned policies, board-level reporting, and a documented governance program ready for examiner review.
Real productivity
POCs that prove value, vetted use cases that scale, and lending/risk/compliance/IT processes made measurably leaner.
Scaled, not stalled
Governance enables AI adoption rather than blocking it — your committee approves, your team deploys, your customers benefit.
