Noise
Every salary day trips the same alarm
Static volume thresholds fire on the 25th, at month end and on every sale weekend. Your team learns to ignore them, which is exactly when an attack gets through.
Risk and Governance squad
Theo Surge — Lead AI Transaction Surge Controller
AI transaction analysis for your busiest payment days
Theo Surge — Lead AI Transaction Surge ControllerTheo Surge is an AI agent that learns your normal peaks, from salary days to festival sales, and tells them apart from attack spikes. He watches whether every payment still gets its fraud and sanctions screening checks when volume climbs, and flags any gap to your team with the affected payments listed.
Theo Surge
Payment volume spike on card channel
IllustrativeFlagged for review
Pattern · attack-like · high
Flag explained
“Burst of low-value payments from new devices against one merchant.”
Job description
What Theo Surge does Job description
Theo Surge is a Lead AI Transaction Surge Controller. He watches payment volume and the health of your fraud and screening checks side by side, and tells your team when a spike needs attention.
AI AGENT · RISK AND GOVERNANCE SQUAD
THEO SURGE
Lead AI Transaction Surge Controller
REPORTS TO
Your Head of Fraud or payments operations lead
WORKS WITH
Your payment, card and core banking systems, plus your monitoring and screening tools
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Learn your normal peaks by channel: salary days, month end, festival sales and campaign launches
02Tell a legitimate peak from an attack spike such as card testing, bot traffic or a mule burst, and explain why
03Watch fraud and screening checks under load and flag any payment that went through without its full set of checks
04Send attack-like spikes to your fraud team with the affected accounts, devices and merchants attached
05Record every spike, how he classified it and who reviewed it, for incident and examiner review
AUTONOMY MODEL
LOWMEDIUMHIGH
Low risk
Can label a known peak as expected, if you allow it
Medium risk
Goes to your fraud or operations lead by default
High risk
Always goes to a person
You set the threshold per rule.
Kill switch: Turn Theo off at any time
Options
How the options compare
| CRITERIA | Static volume thresholds | Ops dashboards and on-call | Theo Surge |
|---|---|---|---|
| Telling peaks from attacks | No, volume is volume | Depends on who is watching | Compares each spike with your own history and events |
| Who decides | Threshold, then analyst | On-call engineer | Your fraud or ops lead, inside autonomy bands you set |
| Why an alert fired | Threshold crossed | A graph went red | Plain-English reason with the payments behind it |
| Check coverage under load | Not tracked | Infrastructure health only | Fraud and screening coverage recorded per peak |
| Cover outside office hours | Yes | Needs a rota | Yes |
| Where it's weaker | Fires on every salary day | Misses what nobody is looking at | Needs a few months of your volume history, and he only flags. Your teams still scale systems and stop attacks |
Works best with
AI agents that work best with Theo Surge
Theo spots the spike. These agents add what happens to the payments inside it.
THREAT
Leo Payden
Director AI Payment Security
Screens the payments inside an attack-like spike before they settle.
Meet LeoRISK AND GOVERNANCE
Sol Runnr
Senior AI Service Reliability Engineer
Shows whether monitoring and screening services are slowing down as volume climbs.
Meet SolRISK AND GOVERNANCE
Percy Planner
Senior AI Capacity Planning Strategist
Uses Theo's peak history to plan capacity before the next busy period.
Meet Percy
Thoughts that matter
Insights on AI agents, financial crime and compliance
What we're learning about AML, fraud and the evidence examiners ask for.
Best AML Software in 2026: An Honest Comparison for Banks and Fintechs
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goAML Registration and STR Filing in the UAE: A Step-by-Step Guide for Reporting Entities
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Transaction Monitoring Software: UAE Acceptance Checklist
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PEP and Sanctions Screening: What the MLRO Owns
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Impossible Travel Detection in Banking: How It Works
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Questions? We Have Answers
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Frequently Asked Questions
Still have questions?
Talk to the people who build the agents. We'll answer per capability, yes or no.
An AI transaction analyst compares live payment volume with your own history and known events, then explains whether a spike looks like normal demand or an attack. Theo Surge also tracks whether every payment in the spike got its fraud and screening checks, and sends anything unusual to your team with the payments attached.
No. Theo flags and explains. He can label a known peak as expected only where you allow it. Stopping payments, setting rate limits and scaling systems stay with your fraud and operations teams and your existing controls. A kill switch turns Theo off without touching your other systems.
He compares the spike with the same hour, day and event in your history, then looks at who is paying, from which devices, for what amounts and to which merchants. Payroll peaks come from known customers paying known payees. Card testing usually shows many small payments from new devices against a few merchants.
Theo reads your live volume and check data, classifies spikes and reports coverage, but nothing in your payment flow changes. Your team works as it does today and compares Theo's calls with its own. You decide whether to switch on any autonomy afterwards.
Payment counts and values by channel, merchant and device, plus queue and status data from your fraud and screening tools. A calendar of payroll dates, sales and campaigns helps him learn your normal peaks faster. A few months of history makes his baseline more reliable.
No. Theo sits beside them. He reads their output, adds a view of volume and check coverage, and hands attack-like spikes to your fraud team.
FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.