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Per Aarsleff
From exploration to implementation with Generative AI
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Per Aarsleff, a leading construction company, partnered with Halfspace to revolutionise their bid management process using Generative AI applications.

In Brief →

Challenge

Through an immense groundwork, Per Aarsleff recognised the potential of Generative AI to transform their bid management process. With over 20 potential use cases, they needed to focus their efforts on AI solutions that could deliver immediate business value and be scaled for transformational impact.

Solution

Building on an initial exploration of GenAI applications in bid management, Per Aarsleff and Halfspace collaborated to identify the most promising areas for value creation. Together, they accelerated the development of three interconnected GenAI solutions that address key pain points in the bidding process while laying the foundation for a comprehensive transformation.

Approach to Artificial intelligence

Per Aarsleff and Halfspace adopted a "Think Big, Start Small" approach. They developed focused GenAI solutions targeting key pain points to deliver value quickly, while ensuring each solution contributed to the end-to-end transformation of the bid management process. The delivery was pursued through close collaboration between Halfspace and Per Aarsleff's team, with continuous business involvement to maintain a strong value focus.

Outcomes →

0

Three proof-of-concept solutions

0

Plan for scaling AI solutions across the organisation

0
+

Use cases narrowed down and qualified

Client

→ Per Aarsleff

✨

Aske Korsgaard Hejlesen

Innovation Manager → Per Aarsleff

Our collaboration with Halfspace is tranformative. We are thrilled to advance this venture and scale Generative AI across our bid management process.
Our collaboration with Halfspace is tranformative. We are thrilled to advance this venture and scale Generative AI across our bid management process.

Dive deep →

Generative AI can impact the entire bid management process

Together with Per Aarsleff we explored various aspects of the bid management journey and decided on three key areas. First we looked into how we could generate structured bid outlines by analysing past successful bids and tender requirements. This AI tool streamlines the initial planning phase, ensuring a comprehensive starting framework for bid managers.

Secondly, we developed a solution that helps create an overview of a broad data catalog, focusing on specific topics and related subjects, while presenting the information in a relevant manner. This context-based search engine can process large volumes of data, assisting bid writers in quickly finding and connecting relevant information. It enhances the ability to gather comprehensive insights, streamlining the research phase and ensuring a more informed approach to bid creation.

The final layer was an AI assistent that would scan completed bids against tender requirements, identifying potential gaps or areas for improvement. By providing actionable suggestions, it enhances bid competitiveness and completeness. This automated quality assurance step helps catch oversights and ensures all tender requirements are adequately addressed before submission.

aarslef bridge
The transformative power of Artificial Intelligence

Good to keep in mind →

Foster cross-functional collaboration

Successful AI implementation requires collaboration between AI experts, domain specialists, and business stakeholders. This cross-functional approach ensures that AI solutions are technically sound, business-relevant, and aligned with organisational goals. Per Aarsleff's deep involvement and expertise were crucial in achieving this alignment.

Prioritise high-impact use cases

Identifying and focusing on AI applications that address significant business challenges is crucial. By prioritising use cases with the highest potential impact, companies can maximise the value of their AI investments. Per Aarsleff's thorough understanding of their bid management process was instrumental in identifying these high-impact areas.

Adopt an iterative approach

Starting with proof-of-concept solutions allows for quick validation and learning. This iterative approach enables companies to refine their AI strategies based on real-world results before scaling up implementation. Per Aarsleff's willingness to embrace this approach was key to the project's success.

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