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The Challenge

Premier UK Events Ltd operates three distinct business units—Events, Woodshop, and Studios—each requiring bespoke payment processing and complex health and safety documentation. The company faced significant operational bottlenecks in managing payment collection across these divisions, with staff manually generating payment links from different platforms whilst attempting to track transactions within their Current RMS rental management system. This fragmented approach led to delays in payment collection, inconsistent customer communications, and increased administrative overhead.

The challenge intensified with Risk Assessment and Method Statements (RAMS) documentation. Each event required comprehensive safety documentation that mapped specific equipment to corresponding hazard assessments and control measures. This process demanded substantial manual effort from health and safety officers who needed to analyse equipment lists, identify potential risks, populate standardised templates, and ensure compliance across diverse event scenarios. The time-consuming nature of RAMS creation created bottlenecks in the quotation process and delayed client confirmations, particularly during peak periods when multiple events required simultaneous documentation.

Premier UK Events required an integrated automation solution that could intelligently route payment requests across Stripe and Shopify platforms based on business unit classification, whilst simultaneously leveraging artificial intelligence to transform equipment data into comprehensive safety documentation—all whilst maintaining seamless integration with their existing Current RMS infrastructure.

Project Objectives

The project focused on delivering two interconnected automation systems that would fundamentally transform Premier UK Events' operational efficiency:

Payment Processing Transformation: Implement checkbox-triggered payment link generation within Current RMS that automatically classifies accounts across Events, Woodshop, and Studios divisions, routes requests to appropriate payment platforms (Stripe for Events and Studios, Shopify for Woodshop), and creates formatted email drafts in Microsoft Outlook with minimal manual intervention.

Safety Documentation Automation: Deploy AI-powered RAMS document generation that analyses equipment lists from Current RMS opportunities, maps items to corresponding risk assessment sections using machine learning, processes standardised Word templates through Python scripts, and delivers completed compliance documentation ready for client submission.

Measurable Efficiency Gains: Reduce payment link generation time from manual multi-step processes to automated execution within seconds, and transform RAMS document creation from hours of manual analysis to minutes of automated processing, freeing health and safety officers to focus on high-value risk management activities.

Measurable Efficiency Gains: Reduce payment link generation time from manual multi-step processes to automated execution within seconds, and transform RAMS document creation from hours of manual analysis to minutes of automated processing, freeing health and safety officers to focus on high-value risk management activities.

  1. Implement checkbox-triggered payment link generation within Current RMS that automatically classifies accounts across Events, Woodshop, and Studios divisions
  2. Route payment requests to appropriate payment platforms (Stripe for Events and Studios, Shopify for Woodshop) and create formatted email drafts in Microsoft Outlook with minimal manual intervention
  3. Deploy AI-powered RAMS document generation that analyses equipment lists from Current RMS opportunities and maps items to corresponding risk assessment sections using machine learning
  4. Process standardised Word templates through Python scripts and deliver completed compliance documentation ready for client submission
  5. Establish robust webhook infrastructure connecting Current RMS with n8n automation workflows, enabling real-time triggering of payment and documentation processes
  6. Reduce payment link generation time from manual multi-step processes to automated execution within seconds
  7. Transform RAMS document creation from hours of manual analysis to minutes of automated processing, freeing health and safety officers to focus on high-value risk management activities

The Approach

We implemented a comprehensive n8n-based automation architecture hosted on Premier UK Events' self-managed server at n8n.premier-ltd.com, establishing the technical foundation through the CurrentRMS Config workflow that manages webhook subscriptions for opportunity and invoice events, routing them to designated automation endpoints.

For payment link automation, we deployed the CurrentRMS Posted Invoices workflow as the primary solution, implementing sophisticated multi-account logic that identifies the originating business unit and routes requests accordingly. The system integrates with Stripe's payment link API for Events and Studios clients whilst connecting to Shopify's checkout API for Woodshop transactions. We complemented this with the Stripe Payment Links workflow for customer validation and product matching, and the Shopify Webhook - New Order workflow to handle the complete Woodshop order lifecycle, including stock management and invoice generation. The CurrentRMS Webhook - Updated/Created Opp workflow serves as the trigger mechanism, detecting checkbox activation within Current RMS opportunities and initiating the appropriate payment generation sequence.

The RAMS documentation system centres on the RAMS - Generate Document workflow, which receives equipment lists from Current RMS and employs Anthropic Claude AI to analyse safety hazards across multiple equipment categories. This AI-powered analysis identifies risks, determines control measures, and generates structured content that a Python script uses to populate standardised Word document templates. We established supporting infrastructure through the RAMS - Daily Opportunity Check workflow, which performs scheduled monitoring to identify opportunities requiring documentation, and the RAMS - Result Webhook workflow, which processes generation callbacks, routes success confirmations, sends Slack notifications, and updates Current RMS opportunity records with completed document metadata.

Throughout implementation, we prioritised error handling, established Slack notification channels for operational visibility, and created multiple workflow touchpoints to ensure robust processing across both payment and documentation automation systems.

Technical Stack

The automation solution leverages n8n as the core workflow orchestration platform, hosted on Premier UK Events' dedicated infrastructure at n8n.premier-ltd.com. This self-managed deployment provides complete control over workflow execution, data security, and integration customisation.

Current RMS Integration: forms the central data source, with custom webhook subscriptions configured through the Current RMS API to capture opportunity updates, invoice events, and equipment data. Custom checkbox fields within Current RMS serve as trigger mechanisms for both payment link generation and RAMS document creation workflows.

Payment Processing Infrastructure: integrates Stripe's payment link API for Events and Studios business units, with customer validation, product matching, and multi-account management logic. Shopify's checkout API and webhook system handles Woodshop transactions, with bidirectional integration managing order creation, stock level synchronisation, and invoice attachment through OrderPrinterPro.

Artificial Intelligence Processing: employs Anthropic Claude AI models to analyse equipment lists, identify safety hazards across categories including manual handling, electrical systems, working at height, fire risks, and environmental factors. The AI generates contextual risk assessments and control measures tailored to specific event configurations.

Document Generation: utilises Python script execution within n8n to manipulate Microsoft Word templates, populating RAMS documents with AI-generated content whilst maintaining standardised formatting and compliance requirements. The NHS API integration identifies nearest hospital facilities for event locations, enhancing safety documentation completeness.

Communication Systems: integrate Microsoft Outlook via OAuth2 authentication for email draft creation across multiple mailboxes (woodshop@premier-ltd.com, events@premier-ltd.com, studios@premier-ltd.com), with Gmail serving additional communication requirements. Slack integration provides real-time notifications for payment confirmations, RAMS generation status, and error alerting across operational teams. Google Drive manages template storage and processed document output for the documentation workflows.

Technologies Used:

  • n8n
  • Current RMS
  • Current RMS API
  • Stripe API
  • Shopify Checkout API
  • Shopify Webhook
  • OrderPrinterPro
  • Anthropic Claude AI
  • Python
  • Microsoft Word
  • NHS API
  • Microsoft Outlook
  • OAuth2
  • Gmail
  • Slack
  • Google Drive

Final Output & Results

Premier UK Events now operates a sophisticated dual-automation system that has fundamentally transformed their payment collection and safety documentation processes. The payment link generation system processes Current RMS invoices through intelligent business unit classification, automatically creating Stripe payment links for Events and Studios clients whilst generating Shopify checkout links for Woodshop customers. The system drafts customised confirmation emails with embedded payment links, attaches relevant invoices and supporting documentation from Google Drive, and maintains discussion threads within Current RMS for comprehensive payment tracking. This multi-account infrastructure handles the complexity of three distinct business units through a single checkbox trigger, eliminating manual platform switching and reducing payment link generation time from several minutes to under 30 seconds.

The RAMS documentation system delivers comprehensive Risk Assessment and Method Statements through AI-powered equipment analysis. When opportunities reach the documentation stage, the workflow extracts equipment lists from Current RMS, analyses items through Anthropic Claude to identify relevant safety hazards, validates health and safety officer assignments, determines nearest hospital facilities, and generates completed Word documents through Python script execution. The RAMS - Daily Opportunity Check

workflow provides scheduled monitoring to ensure no opportunities requiring documentation are overlooked, whilst the result webhook system maintains Current RMS records with document status and file attachments. This automation has reduced RAMS creation time from 2-3 hours of manual analysis and template population to approximately 15 minutes of automated processing, enabling health and safety officers to review and approve documentation rather than creating it from scratch.

The integrated solution processes payment requests and safety documentation through a unified Current RMS interface, maintaining complete audit trails, providing Slack-based operational visibility, and handling error scenarios with appropriate notification routing. The webhook infrastructure established through the CurrentRMS Config workflow ensures reliable event capture, whilst the multiple supporting workflows create a resilient automation ecosystem that handles the full lifecycle of both payment collection and compliance documentation.

Premier UK Events has achieved substantial operational efficiency gains across their three business units, with automated systems handling routine processing whilst staff focus on customer relationships and complex risk management scenarios. The solution scales seamlessly with business growth, accommodates multiple business units through conditional logic, and provides the technical foundation for future automation expansion across additional operational processes.

Key Metrics:

  • Time Saved: Payment link generation reduced from several minutes to under 30 seconds; RAMS creation reduced from 2-3 hours to approximately 15   minutes
  • Efficiency Gain: Payment link generation: 90%+ reduction in processing time; RAMS documentation: 90%+ reduction in creation time.