FinanceAction & Automation (LAMs)Cloud / Hybrid

FX Flow AI

Turn messy WhatsApp and Telegram trade requests into fully priced, ready-to-execute FX trades in under 3 seconds, eliminating manual data entry, guaranteeing zero pricing errors, and delivering lightning-fast quotes.

The Baseline

Problem

FX brokerages and payment operators waste hours every day copy-pasting trade requests from WhatsApp, Telegram, and email into spreadsheets and CRMs. Highly-paid operators manually poll Liquidity Providers, calculate spreads, and re-type quotes: a slow, error-prone process that limits trade volume and introduces costly pricing mistakes.

Solution

FX Flow AI deploys AVELIN's Large Action Model (LAM) infrastructure to listen across all client communication channels simultaneously. The AI extracts trade intent, counterparty details, currency pairs, and amounts from unstructured messages, then routes the structured data to the brokerage's existing pricing engine. Spreads and margins are calculated by hardcoded business rules (never by the AI), guaranteeing 100% pricing accuracy. Operators choose between fully agentic auto-confirmation for high-frequency, low-risk trades, or human-in-the-loop approval for larger tickets.

Result

Brokerages double their trade volume without hiring additional staff. Execution time drops by 90%, human pricing errors are completely eliminated, and clients receive instant quotes. A built-in transaction ledger provides real-time P&L reporting and instant compliance audit trails.

Architecture Flow

1

Omnichannel Deal Capture

FX Flow AI monitors Telegram, WhatsApp, and email channels simultaneously. When a client sends a trade request (e.g., 'Buy 500K GBPUSD'), the LAM instantly parses the intent and extracts structured fields: currency pair, amount, direction, and counterparty.

2

Automated LP Polling

The structured trade ticket is routed to the brokerage's connected Liquidity Providers via API. FX Flow AI queries multiple LPs in parallel and retrieves competitive base rates within milliseconds.

3

Guaranteed Spread Calculation

The best base rate is fed into the brokerage's existing CRM pricing engine. Custom client tiers, spread rules, and margin policies are applied deterministically. The AI never touches the financial calculation, ensuring 100% accuracy.

4

Execution Mode Selection

Based on configurable rules, the system either auto-confirms the trade instantly (fully agentic mode for low-risk, high-frequency trades) or pauses for a one-click human approval (co-pilot mode for larger tickets). The executed trade is immutably logged in the transaction ledger.

Core Infrastructure

ComponentRole
Large Action Models (LAMs)Parse unstructured client messages across multiple channels and convert them into structured, actionable trade tickets with extracted counterparty details, IBANs, and amounts.
Model Context Protocol (MCP)Acts as the secure bridge between the AI agent and the brokerage's CRM, pricing engine, and LP APIs, ensuring all queries are strictly parameterized and validated.
Transaction LedgerA high-performance, immutable database that structurally logs every quote, bid, and executed trade. Powers real-time P&L reporting and provides instant compliance audit trails with best-execution proof.
Orchestration EngineManages the end-to-end workflow: channel monitoring, LP polling, spread routing, execution mode enforcement, and KYC/AML compliance checks.

Technical Specifications

Encryption

AES-256 for data at rest; TLS 1.3 for data in transit

Compliance

FCA, MiFID II, and KYC/AML regulatory frameworks

Infrastructure

Deploys as a cloud-hosted SaaS or hybrid on-premise installation, integrating with existing CRM systems and LP API connections

Build this architecture

Map this workflow to your internal data models. Deploy AVELIN AI to gain sovereign control over your enterprise intelligence.

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