Value Stream:
‍Transact

Centric gives banks and payment services a unified AI platform to detect fraud, personalise experience and automate operations without building complex infrastructures.

Overview

Every transaction is a moment of trust. Centric enables banks and financial institutions to embed AI-powered fraud detection, behavior modeling, and workflow automation directly into transaction flows, without changing core systems.

Key Statistics

$30B+ in global transaction fraud annually (LexisNexis, 2024)

70%+ of flagged transactions are false positives (FICO, 2023)

AI-led operations reduce fraud losses by up to 60% and manual effort by 40% (McKinsey, Deloitte, 2024)

Current State / Pain Points​
Triggers for Urgency​
Future State with Centric AI

High Fraud Losses

Fraud schemes evolve faster than static rules and manual teams can respond.

Overwhelmed Operations

Analysts spend hours reviewing exceptions and false alerts.

No Intelligence at Runtime

Every transaction is treated equally, regardless of customer risk or behavior.

Low Signal Quality

Generic rules generate false positives, frustrating customers and slowing throughput.

Compliance Exposure

Manual reviews lack full traceability, making audits and reporting difficult.

Real-Time Risk

Fraud attacks happen in seconds; outdated systems can’t react quickly enough.

Ops Bottlenecks

Manual queues delay payments and increase operational cost.

Customer Frustration

Legitimate payments are delayed, eroding trust and satisfaction.

Regulatory Scrutiny

Regulators demand explainable, consistent decisions even mid-transaction.

Inflexible Systems

Legacy platforms can’t adapt to new risk signals in real time.

Fraud Stopped in Motion

Transactions scored and intercepted in real time​

Operational Triage

Centric AI automates routing—flagging risky cases, clearing safe ones, and reducing manual review load.

Behavioral Intelligence

Centric AI models learn normal vs. abnormal behavior, adjusting risk thresholds dynamically.

Precision Detection

Centric AI improves signal quality, reducing false positives and keeping legitimate transactions flowing.

Full Audit Trail

Centric AI logs every decision transparently—ensuring traceability and regulatory confidence.

Top AI Workflows (Centric-Powered)​

Transaction Anomaly Detection Agent

Scores transactions live based on context, velocity, and user history​

Fraud Pattern Recognition Model

Flags repeat fraud structures, mules, and hidden ring behavior​

Exception Queue Prioritization Model

AI ranks incidents by risk score and urgency​

Customer Behavior Drift Agent

Flags changes in usage patterns (e.g., dormant account suddenly wires $10K)​

Live Transaction Risk API

Returns real-time fraud classification at point of execution​

Synthetic Transaction Detector

Identifies transactions designed to mimic legitimate activity (e.g., amount/velocity camouflage).​

First-Time High-Risk Payment Filter

Flags first-time transactions over custom thresholds by new or low-usage customers.​

Device/Location Risk Score

Adds a dynamic risk layer based on IP velocity, device ID reputation, or geo inconsistency.

Real-Time False Positive Reducer

Applies context-aware scoring to minimize disruption of legitimate transactions.​

Exception Queue Prioritization Model

Ranks alerts or transaction flags by urgency and risk to reduce review backlog and alert fatigue.

Behavior-Informed Transaction Approver

Uses customer history and contextual rules to allow/deny gray-area transactions with explanation.​