Exploring AI Assistant Opportunities for Innovation Management
Supporting everyday innovation work and portfolio management through AI-assisted solutions for a Nordic energy company.
An innovation team within a Nordic energy company sought to understand and leverage the potential of AI assistants to enhance their core processes. The goal was to identify tangible business opportunities for AI to improve the efficiency and transparency of their innovation framework and portfolio management, ultimately informing strategic investment decisions.
OBJECTIVE
To explore the potential business opportunities of using AI assistants within the VIRAL Innovation framework and innovation portfolio management, identify areas for efficiency improvement and reporting transparency, and create material to support investment decisions.
About
The collaboration began with the client's interest in exploring how AI assistants could support the everyday work within their VIRAL Innovation framework and their overall innovation portfolio management. Our approach focused on gaining a deep understanding of the client's existing data ecosystem and current use of AI, while also looking ahead to the likely future capabilities of off-the-shelf AI assistant technologies. We worked closely with the innovation team to map their key tasks, identify pain points related to efficiency and quality, and discover potential areas where AI could provide significant future value. The project was conducted in a very compact timeframe using an agile methodology, leveraging the expertise of both the client's innovation and domain experts and our AI knowledge.
The Challenge
Based on the project's objectives, the implicit challenges included:
Identifying
specific, high-impact use cases for AI assistants within the complex processes of innovation framework management and portfolio management.
Understanding
how AI could integrate with existing data sources and workflows to genuinely improve efficiency and transparency.
Quantifying
the potential benefits of AI integration to build a compelling case for investment.
The Solution
Our approach constituted the solution methodology, leading to a concrete proposal. The project processes and tools used included
Domain Immersion
Deeply understanding the nuances of innovation processes and AI assistant capabilities.
Customer Research
Mapping key tasks, data sources, pain points, and best practices within the client's innovation team.
Journey Mapping & Rapid Prototyping
Visualizing insights and creating a prototype to effectively communicate the potential of AI assistants in the workflow.
Business Case Building & Solution Shaping
Developing a proposal outlining estimated benefits (value creation mechanisms and size) and defining the contours of a suitable AI assistant solution.
The Outcome
The primary outcome of the project was the creation of a comprehensive investment proposal for an AI assistant solution. This proposal included estimated business benefits and a prototype to clearly communicate the potential of AI-assisted work. The material generated from this project successfully informed the client's investment decisions regarding the adoption of AI assistants in their innovation processes.
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