AI Agents Built for Regulated Financial Institutions
FluxForce is the Agentic OS for regulated industries. Today, we run inside financial institutions for fraud, AML, identity, payments, and compliance. The same platform extends to any industry where decisions must be defensible to auditors and regulators.
Financial institutions face a workforce gap that hiring cannot close. Fraud evolves faster than analysts can investigate. Compliance requirements multiply faster than teams can document. Identity threats, payment risks, and operational failures compound daily.
FluxForce SuperHumans are AI agents built for this environment. Each one performs a specialized role: fraud detection, compliance monitoring, identity verification, payment security, and more. Every agent ships with configurable autonomy, audit-ready decisiontrails, and a kill switch that disables instantly. They don't replace your team. They extend it.
Every FluxForce SuperHuman follows the same 4-step operating model. The inputs and outputs change per agent, but the architecture is consistent across all 28.
01
Signal
Each agent connects to your existing systems via API sidecar and ingests the data relevant to its role — transactions, logs, identities, contracts, conversations, or infrastructure health. No data migration. No core system changes.
02
Activate
The agent applies its specialized ML models, deterministic rules, and knowledge base to analyze every signal in real time. Pattern recognition, anomaly detection, and contextual enrichment happen continuously.
03
Decide
Based on the analysis, the agent takes action within its configured autonomy level: • Low risk → Acts autonomously (approve, log, proceed) • Medium risk → Human-in-the-loop by default (configurable) • High risk → Always escalates to human team (non-negotiable) Your team controls the threshold per agent, per rule, per channel.
04
Evidence
Every decision — whether autonomous or escalated — produces an audit-ready evidence chain: what was detected, why it matters, what action was taken, and how it maps to the applicable regulatory framework. Immutable. Tamper-evident. Regulator-ready.
AGENT GRID BY CATEGORY
All 28 AI Agents — By Category
Browse every SuperHuman agent by capability category. Each agent performs a specialized role inside your financial institution.
Fraud, Risk & Financial Crime
6 Agents
AIDEN FLUX
AI fraud analyst
BELLA NOVA
AI BNPL risk analyst
LENA CREDIT
AI underwriting analyst
CLARA ADJUSTA
AI claims analyst
RHEA LEDGER
AI KYC AML analyst
OSCAR GRAY
AI OSINT analyst
Identity, Access & Trust
3 Agents
NOVA SENTINEL
AI zero trust architect
CIAN GATEKEEPER
AI identity manager
IRIS VERMA
AI verification specialist
Payments & Transactions
3 Agents
LEO PAYDEN
AI payment security analyst
PIERS OPENFIELD
AI open banking analyst
THEO SURGE
AI transaction analyst
Compliance, Audit & Regulatory
4 Agents
ZARA TRUSTWELL
AI compliance officer
ARIN NARRATE
AI audit analyst
DASHA RELIA
AI compliance engineer
NOLAN BRIEFWELL
AI incident analyst
Data Protection & Privacy
1 Agents
DALIA SHIELD
AI data protection officer
API & Platform Security
2 Agents
ARIA LINKWELL
AI API security analyst
SAM TENANT
AI cloud security architect
Core Banking Modernization
2 Agents
CORY BANKSON
AI core banking analyst
PERCY PLANNER
AI capacity planner
Engineering & DevSecOps
3 Agents
DEVON PULSE
AI DevSecOps engineer
SOL RUNNR
AI SRE engineer
STELLA SIMULANT
AI synthetic data analyst
Crypto & Blockchain
2 Agents
CYPHER KNOX
AI crypto security analyst
SIENNA CHAIN
AI smart contract auditor
AI Governance & Reliability
1 Agents
RIYA INTEL
AI model risk analyst
Conversational Interface
1 Agents
CHASE VOX
AI chatbot security analyst
FILTER BY PERSONA
Which AI Agents Matter to Your Role
Not every agent is relevant to every stakeholder. Use this guide to identify the SuperHumans that align with your priorities.
CISO
Chief Information Security Officer
Focus: Protecting infrastructure, data, and digital assets
Nova Sentinel (Zero Trust)
Knox (Crypto Custody)
Sienna Chain (Smart Contracts)
Dalia Shield (Data Privacy)
Aria Linkwell (API Security)
Sam Tenant (Multi-Tenant)
Oscar Gray (OSINT)
Devon Pulse (DevSecOps)
CRO
Chief Risk Officer Focus: Managing financial crime, credit risk, and model risk
Aiden Flux — Fraud Detection
Bella Nova (BNPL Risk)
Lena Credit (Loan Underwriting)
Clara Adjusta (Claims Fraud)
Rhea Ledger (KYC/AML)
Riya Intel (Model Governance)
CCO
Chief Compliance Officer Focus: Regulatory compliance, audit readiness, and reporting
Zara Trustwell
Arin Narrate
Dasha Relia
Nolan Briefwell
Rhea Ledger
Riya Intel
CTO
Chief Technology Officer Focus: Engineering, infrastructure, and platform resilience
Devon Pulse
Sol Runnr
Stella Simulant
Theo Surge
Cory Bankson
Percy Planner
Aria Linkwell
CIO
Chief Information Officer Focus: Digital transformation and system modernization
Cory Bankson
Percy Planner
Sam Tenant
Cian Gatekeeper
Piers Openfield
Leo Payden
DPO
Data Protection Officer Focus: Data privacy, consent management, and customer data protection
Monitor, comply, and report across the enterprise.
Rhea Ledger · Theo Surge · Zara Trustwell · Arin Narrate · Dasha Relia · Dalia Shield · Aria Linkwell · Sam Tenant · Cory Bankson · Percy Planner · Sol Runnr · Riya Intel
Focus: Compliance, audit, regulatory reporting, data protection, API security, core banking, capacity planning, service reliability, and model governance.
CONFIGURABLE AUTONOMY
Configurable Autonomy — You Control Every Decision Boundary
Every SuperHuman operates within boundaries your institution defines. There is no "fully autonomous" mode for high-risk decisions. This is non-negotiable. The autonomy model works the same across all 28 agents:
Low Risk
Acts Autonomously
The agent acts autonomously. Examples include approving clearly legitimate transactions, logging routine events, and scaling resources within pre-approved limits. These actions are fast, documented, and reversible.
Medium Risk
Human-in-the-Loop
Human-in-the-loop by default. Your team reviews and approves before the agent acts. This level is configurable. Your institution can move specific medium-risk actions to autonomous if confidence warrants it.
High Risk
Always Human Review
Always human review. Non-negotiable. Examples include blocking customer accounts, retiring production models, approving large transfers, and deploying code to production. The agent recommends, escalates, and documents, but a human decides.
Kill Switch — Every Agent, Every Time
Every agent includes a kill switch. One click disables the agent instantly. No system impact. No downtime. No residual actions. Available at all times.
TRUST BUILDERS
Built for Regulated Institutions — Not Startups
Kill Switch
Every agent can be disabled instantly. One click. No system impact. No downtime. No residual actions. This is available at all times, regardless of autonomy configuration.
Shadow Mode
Every agent starts in shadow mode — monitoring your live data for 30 days without taking action. You validate accuracy, compare against your current systems, and go live only when confident.
Audit Trail
Every decision by every agent produces an immutable, tamper-evident evidence chain. What was detected. Why it matters. What action was taken. How it maps to the applicable regulatory framework. Regulator-ready from day one.
No Migration
Every agent integrates as a sidecar. It reads from your existing systems via API. No data migration. No core system changes. No platform replacement. Your systems stay untouched.
Start with One Agent. Scale to Twenty-Eight.
Most institutions start with Aiden Flux — the AI Fraud Detection agent. See results in 30 days. Add agents as confidence grows.
AI agents for financial services are purpose-built autonomous software agents that perform specialized roles inside regulated financial institutions — such as fraud detection, compliance
monitoring, identity verification, and payment security. FluxForce
SuperHumans are 28 AI agents designed specifically for banking,
insurance, and fintech operations, each with configurable autonomy,
audit trails, and regulatory framework mapping.
FluxForce offers 28 AI agents (called SuperHumans) organized into
3 squads — Threat, Trust & Identity, and Risk & Governance. The agents span
11 categories covering fraud detection, identity management,
payments, compliance, data protection, API security, core banking,
engineering, crypto, AI governance, and conversational security.
No. FluxForce AI agents use configurable autonomy. Low-risk
decisions are handled autonomously. Medium-risk decisions default
to human-in-the-loop review but can be configured for autonomous
action. High-risk decisions always require human approval — this
is non-negotiable in regulated environments. Every agent includes
a kill switch that disables it instantly with no system impact.
Improved efficiency, automation, and compliance insights
tailored to your business.
FluxForce AI agents are built specifically for regulated financial
services — including banks, credit unions, insurance companies,
payment processors, fintechs, and digital asset platforms. Every
agent is designed to comply with financial regulatory frameworks
including BSA/AML, DORA, EU AI Act, PCI DSS, GDPR, SR 11-7,
and ISO 27001.
FluxForce AI agents integrate as sidecars — they connect to your
existing systems via API without requiring data migration, core
system changes, or platform replacement. Each agent reads from your
existing data feeds and produces outputs through your existing
dashboards and workflows. Deployment takes 30 days, starting with
shadow mode for validation.
The kill switch is a safety mechanism built into every FluxForce
AI agent. It allows authorized users to disable any agent instantly
with a single action. When activated, the agent stops all operations
immediately with no impact on your core systems, no downtime, and
no data loss. The kill switch is available at all times, regardless
of the agent's autonomy configuration.
FluxForce AI agent pricing is customized based on your institution's
transaction volume, regulatory requirements, and deployment model
(cloud or on-premise). Contact our team for a tailored quote.
