On RFQ-Automation.com, process automation takes shape through Emmie, a virtual agent designed to handle, validate, and route Request for Quotation (RFQ) submissions in real time. Available 24/7, Emmie captures requests from multiple channels, understands their content, applies business rules, and transforms them into FIX or REST messages ready for execution.
This capability perfectly illustrates the role of virtual agents in modernizing and securing critical workflows.
What Are Virtual Agents in the RFQ Context?
Virtual agents are AI-powered systems that can:
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Capture quote requests from email, chat, messaging apps, or portals,
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Analyze and understand intent using natural language processing,
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Validate data and transform it into structured formats.
Emmie goes further by automatically enriching data (symbology, units, currencies), applying your compliance rules, and integrating results directly into your OMS/EMS or pricing engines.
Why Choose a Virtual Agent Like Emmie?
Speed and Efficiency Gains
Emmie processes dozens of RFQs simultaneously, reducing the time between receipt and execution to just seconds.
Improved Accuracy and Compliance
By applying automated validations and normalizing data, Emmie minimizes human errors while respecting regulatory requirements.
Cost Reduction
Automating with Emmie frees teams from repetitive manual tasks, allowing them to focus on higher-value activities.
Practical Use Cases
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Finance / Trading: Emmie converts Teams, Slack, or email messages into validated FIX/REST orders ready for execution.
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Pre-trade Checks: Automatically verifies account limits and product eligibility before sending an order.
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Quote Orchestration: Enriches RFQs and forwards them to the internal pricing engine for a rapid response.
Challenges to Anticipate
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Data Preparation – To ensure peak performance, Emmie requires clean, structured input data.
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Internal Adoption – Integrating a virtual agent like Emmie requires training and change management.
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Technical Integration – Emmie connects with your existing systems (OMS, CRM, email, chat), which requires a well-defined architecture.
A Future Driven by Agents Like Emmie
Virtual agents are evolving toward more cognitive models, capable of learning and optimizing responses based on past performance. Emmie already embodies this vision — making RFQ processing faster, more reliable, and fully traceable, while paving the way for even smarter workflows.