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Engineering

Enterprise GPT

About

01

Summary

Our enterprise GPT solution, Cosmos, enabled an engineering firm to enhance data analysis and streamline proposal generation, significantly reducing the time required to respond to RFPs.

02

Client Background

The client operates in the engineering industry. They are a medium-sized firm specialising in infrastructure projects.

03

Problem Statement

The client needed to streamline their data analysis and proposal generation process to improve efficiency and increase their chances of winning more projects. The existing process was manual, time-consuming, and prone to errors, which hindered their ability to submit competitive bids quickly.

04

Approach and Solution

We deployed our enterprise GPT solution, Cosmos, to automate data analysis and assist in drafting proposals. Cosmos integrated with the firm’s existing data sources, extracting relevant information and generating insights to support decision-making. The AI tool also provided templates and suggested content for proposals, ensuring consistency and quality.

05

Value Delivered

The firm significantly reduced their RFP response time, enabling them to submit more competitive bids and win additional projects. The enhanced data analysis also improved project planning and execution, leading to more efficient operations and better project outcomes.

Key results included

• Reduced response time - The firm significantly cut down the time required to respond to RFPs.

• Improved proposal quality - Consistent and high-quality proposals were generated using templates and suggested content.

• Enhanced decision-making - Data insights supported better planning and execution.

• Increased project wins - More competitive bids led to winning additional projects.

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