Enterprise Agentic OS / Banking & Financial Services

AI Agents That Speak Banking

From KYC to credit decisioning — AI that understands financial regulation, not just financial data. The banking ontology encodes the entities, workflows, and regulatory vocabulary your teams already work in.

The model was never the hard part. Encoding the workflow, the regulation, and the review step a human still has to sign — that is the hard part.

38 banking agent definitions across retail, commercial, investment, and risk/compliance. Part of 26 industry modules (2 runtime-wired today) with 700+ AI agents.

The Operational Burden Every Bank Carries

Compliance Is Your Largest Cost Center After IT

AML/BSA programs absorb most of an analyst team’s capacity on transaction monitoring, SAR filings, and CDD reviews. Every false positive alert burns time. Every missed alert burns trust.

Compliance load grows with transaction volume, and the volume does not compress on its own.

KYC Takes Too Long, Costs Too Much

Customer onboarding should take hours. Instead, it takes days or weeks. Manual identity verification, document review, and risk assessment create bottlenecks that frustrate customers and delay revenue.

Most of the review work is still done by hand, and the cost per file climbs with the risk tier.

Risk Blind Spots Between Departments

Credit risk, market risk, and operational risk are managed in silos. When stress testing season arrives, a cross-functional team leaves its regular work for weeks because the evidence is scattered across systems that were never meant to reconcile.

Regulatory findings on stress testing range from fines to growth restrictions.

Talent Costs Are Unsustainable

Compliance officers, risk analysts, and credit underwriters command premium salaries. Hiring is slow. Training takes months. Turnover disrupts institutional knowledge.

Experienced AML analysts are both scarce and expensive, and one is never enough.

From Workshop to Scoped Deployment

1

Discovery Workshop

Scoped deliverable

We map one high-value banking workflow together — typically AML monitoring, KYC onboarding, or credit assessment — and walk through how an agent would be configured against that workflow definition.

  • Workflow mapping for one banking process
  • Agent configuration for that workflow, walked through with you
  • A cost baseline built from your own numbers
  • A written go/no-go decision
2

Growth Platform

Scoped after discovery

Expand from one workflow to several. The CFO agent covers capital planning while the AML agent covers transaction monitoring. Scope and sequence are agreed after the workshop, against what you actually saw.

  • 2-5 active agents across 1-3 departments
  • Ongoing optimization and tuning
  • Regular reviews against the workflow you scoped
  • A named point of contact
3

Enterprise Scope

Scoped per deliverable

The full banking module, scoped across functions rather than a single workflow.

  • Full banking module — 38 agent definitions
  • Scope agreed in writing before the work starts
  • Your reviewers keep sign-off on every agent output
  • Designed to run inside your own perimeter

Meet Your Banking Agents

Two of the 38 agent definitions in the banking module

CFO Agent

The Capital Steward

I help you... Run financial planning, capital optimization, and regulatory stress testing against the scenarios and parameters the module already models.

  • Automate CCAR/DFAST scenario analysis
  • Optimize capital allocation across business lines
  • Generate regulatory filings and SEC reports
  • Track NIM, ROE, and efficiency ratio as the data lands

What stays with your team

Scenario construction, capital assumptions, and the final submission stay with your CFO and model-risk function. The agent assembles the pack and documents its reasoning. It does not sign.

AML Compliance Agent

The Compliance Guardian

I help you... Monitor transactions, prepare SAR packages, and run KYC/CDD against the BSA, OFAC, and FinCEN rule structures modelled in the module’s reference ontology.

  • Monitor transactions against BSA and OFAC rule structures
  • Automate SAR preparation and assemble the filing package
  • Run Customer Due Diligence and Enhanced Due Diligence
  • Assemble the records and rationale an examination request asks for

What stays with your team

Alert disposition, the decision to file a SAR, and every escalation remain with your BSA officer. The agent gathers the evidence and drafts the narrative. A human decides and files.

Other definitions in the module include Head of Credit Risk, Head of Retail, Chief Credit Officer, Head of Treasury Services, Head of Payments, and Head of Digital.

What the Agents Do

FAOSX prices a deliverable, never consumed time.

AreaWhat the agents do
AML/BSA ComplianceTransaction monitoring against BSA and OFAC rule structures, with contextual risk scoring and a written rationale attached to every alert
KYC OnboardingDocument verification, identity matching, and risk-tier assessment, with the approval step routed to a named human reviewer
Stress TestingScenario analysis across the parameters a CCAR/DFAST submission requires, assembled into a pack your model-risk function can review
Loan OriginationCredit file assembly, document extraction, and policy checks against your own underwriting criteria
Evidence and recordsRecords the inputs each agent consumed, the rule structure it matched and the rationale it wrote, so a reviewer can follow the reasoning
Operational LoadHigh-volume, repetitive compliance tasks handled end to end, with exceptions escalated to analysts rather than buried

FAOSX makes no certification or regulatory-compliance representation — your own control framework governs any deployment.

Why FAOS for Banking

Traditional Approach
With FAOS
Big 4 consulting: a large team, a long engagement, a report at the end
One of your workflows, scoped and written up as a decision brief
CRM vendors: AI copilots bolted onto existing software
Agents that carry a banking ontology, not a generic assistant
In-house AI team: hire, train, and build the domain model before the first agent
A banking ontology and 38 agent definitions that already exist
Legacy GRC tools: dashboards and reports
Agents that assemble the work product your reviewer then signs

Orchestration, governance, and a banking ontology in one platform — rather than three separate procurements that never quite meet in the middle.

Built for banking everywhere, localized for Vietnam

The Vietnam edition of the banking module carries the local market structure, processes, products and terminology as reference ontology. It is one of 26 industry modules (2 runtime-wired today); the banking module is packaged, not yet runtime-wired.

SBV reporting frameworks and regulatory structure modelled in the reference ontology
Vietnamese-language document handling and business terminology
Domestic payment rails — VietQR and NAPAS — modelled as business entities
Integration scope for T24, Silverlake and local core-banking platforms set per engagement

See What AI Agents Can Do For Your Bank

Book a Discovery Workshop. We map one banking workflow, walk through how an agent would be configured against it, and you decide what happens next.

38 Banking Agent Definitions26 Industry Modules (2 Runtime-Wired Today)Enterprise Agentic OS