By implementing our RFP Automation Solution, your enterprise can achieve significant efficiency gains, cost savings, and improved competitiveness in responding to RFPs, ultimately driving business growth and customer satisfaction.

Our RFP Automation Solution leverages advanced technologies from Power Platform and Azure to streamline the handling of Requests for Proposal (RFPs) at scale. By automating email intake, data extraction, and processing workflows, we enable enterprises to improve efficiency, accuracy, and customer responsiveness in their RFP management processes.

Solution Overview

Power Platform Products: Power Automate, Power Apps, Power BI, AI Builder, Dataverse
Azure Products: Azure AI, Azure Functions, Azure Storage, Azure OpenAI

Target Audience
Enterprises seeking to optimize their RFP management processes, reduce manual effort, and enhance the customer experience.

Outcomes/Deliverables

Automated email intake and validation process
AI-powered data extraction from RFP emails and attachments
Integration with Dataverse and Azure Storage for data aggregation and persistence
Language Model (LLM) workload processing using Azure OpenAI
Construction of Excel summaries and email notifications via Power Automate
Integration with Office products like Outlook and Teams to meet users where they work.
Customized Integration with line-of-business systems to mitigate introducing more systems and technical debt* o *Integration will depend on customer tech landscape and agreed upon scope based on discovery outcomes
Bespoke validation station dashboard built with Power Apps and Power BI
Power BI reports for analysis of RFP submission trends and performance metrics

Cost
Customized pricing based on the scope and complexity of the implementation. Please contact us for a detailed quote tailored to your organization's needs.

Duration
Typically, the implementation of our RFP Automation Solution ranges from 3 to 6 months, depending on the specific requirements and integration complexity. A typical project agenda/execution plan looks at follows based on the discovery and design outcomes: Plan: 1-2 weeks for Discovery, Design and Elaboration Build: 2-5 months for Development, QA, UAT, and Go-Live activities Run: 2-4 weeks to run pilot, refine governance and training, and knowledge transfer

Resources
Ashling Partners:

Solution Architect
Delivery Manager
Applied AI Developer
Low Code Developer
Business Analyst Customer:
Business Process Owner
Business Process Subject Matter Expert (SME)
Application Owner
Database Administrator
Development Resource (as required for integration and customization)

Benefits
Quantifiable

Cost Take Out through process optimization and automation
Revenue growth Qualified
Increased RFP Response Time (10x productivity increase)
Increased Pricing Velocity
Reduced Error Rate
Reduced Employee Fatigue

RFP Automation: 3-6 month estimated implementation

Ashling Partners

Detail

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