RFQs arrive through email and documents, while pricing, approval and CRM workflows need complete structured information.
Finch Demonstration
AI RFQ Processing System
An illustrative system showing how an incoming RFQ can move through extraction, validation, company data, human approval and downstream business systems.
- Solution type
- Document Intelligence · Workflow
- Industry context
- Manufacturing & Engineering · Professional Services
- Status
- Interactive Demo
- Publication
- Public demonstration
Demonstration scope · fictional or generalised information · no claimed client deployment
Overview
What this demonstration is intended to show.
The demonstration separates document interpretation from deterministic checks, approved company-data retrieval, commercial approval and downstream actions.
Workflow
From manual hand-offs to a controlled system.
Email→Manual review→Spreadsheet→ERP lookup→Quotation→CRM follow-up
- InputCustomer RFQ→
- AIExtract requirements→
- ValidationRequired fields→
- Company dataERP / product lookup→
- RulesPricing + completeness→
- HumanCommercial approval→
- OutputQuote + CRM + follow-up
System boundary
Constraints are part of the design.
- RFQs differ in format and completeness.
- Missing information must not be invented.
- Commercial pricing must use approved sources.
- Final quotation release requires a person.
This demonstration does not
- Calculate real customer pricing
- Connect to a live ERP or CRM
- Send a real quotation
- Access customer data
What the demo proves
Claims bounded by what is inspectable.
- 01Unstructured input can become structured workflow data.
- 02AI and deterministic logic can serve different steps.
- 03Exceptions can be surfaced instead of hidden.
- 04Human commercial approval can remain explicit.
Connected architecture
Related capabilities and systems.
ServicesWorkflow AutomationDocument IntelligenceAI & System IntegrationAI Agents
SolutionsAI RFQ ProcessingQuotation Automation
IntegrationsEmailSAPSalesforce
Industry contextsManufacturing & EngineeringProfessional Services
Inspect the demonstration
Use the system already built into this site.
Use only fictional or generalised information. Do not enter confidential, personal or commercially sensitive data into a public demonstration.