AI-Augmented Innovation
Augmented innovation comes from human + AI collaboration. Together, we multiply the capacity to innovate and create more value for the company and for society.
Here are concrete examples of use cases at each phase of the Double Diamond.
Augmented Discovery
Market Scan
Quickly identify trends, weak signals and emerging innovations. With AI, we analyze thousands of articles, patents and news items to detect what matters before your competitors do.
Added value: a strategic radar that turns monitoring into competitive advantage.
Customer Voice
Turn the mass of comments, forums and reviews into actionable insights.
With AI, we rapidly analyze thousands of customer conversations to extract trends, compare products and reveal real market needs.
Added value: a clear, structured and prioritized view of what your customers are really saying.
Competitive Analysis
Compare in minutes your competitors’ prices, specifications and positioning. AI screens their offerings and presents the key gaps in a concise summary.
Added value: a massive time saving to make fast decisions and position your products better.
Customer Interviews
Structure preliminary research: AI automatically transcribes customer interviews, identifies recurring themes and highlights the emotions expressed. Researchers and designers then analyze these results, add context and interpret the nuances algorithms miss.
Added value: save time in preparation and analysis while strengthening the human depth needed to turn customer voices into concrete opportunities.
Augmented Definition
Customer Journey
Thousands of customer voices analyzed in an instant: AI turns your field observations, usage data and verbatims into a visual user journey. Teams work together to qualify pain points, rank opportunities and interpret the moments of truth based on their field knowledge.
Added value: a concrete map that combines AI rigour and human judgment to steer innovation toward the most strategic points.
Problem Framing
From complexity to the right questions: AI, supporting your teams, analyzes your research, constraints and objectives to generate clear, varied HMW statements (“How might we…?”).
Added value: a direct bridge between research and ideation that aligns the team and fuels idea generation.
Design Criteria
From needs to clear criteria: AI analyzes and structures notes, surveys and research to turn customer needs into clear design criteria. Humans bring judgment, context and nuance, while AI speeds up sorting and rewording.
Added value: a direct bridge between the voice of the customer and the design brief, combining AI rigour and human expertise to reduce misunderstandings and focus the team on what truly matters to the user.
Augmented Development
Rapid Concepts
Unlock collective creativity: AI generates visual, functional and technical variants in minutes. Designers and engineers draw on them, reinterpret and combine these proposals to create unique solutions that carry their signature.
Added value: faster ideation, a wider imagination and more options, while preserving human intuition and expertise.
Concept Evaluation
Test before you invest: AI reviews a large number of ideas with synthetic personas or through rapid comparisons. Teams then analyze the feedback, select a few promising concepts and take them to real customer tests.
Added value: more options explored, fast and objective feedback, then human energy invested where the potential is strongest.
Predictive BOM
Build on collective intelligence: AI draws on an evolving repository of costs, materials and configurations specific to your organization. It quickly simulates different options, while engineers and designers validate and adjust to production reality.
Added value: turn accumulated data into organizational intelligence, reduce financial and technical risk from the start, and provide a solid base for future choices.
Augmented Delivery
Test Plan
Structure and secure: AI helps build complete test plans based on industry standards and best practices. It organizes scenarios and proposes validations covering safety, performance and compliance. Human teams then bring their judgment, prioritize critical tests and interpret results in real context.
Added value: a more rigorous, complete validation process that reduces omissions and speeds up iteration, while leaving final decisions to the experts.
Specifications
Speed up documentation: AI compiles project information and generates a first version of the specifications. Engineers and designers enrich it, validate it and add context and field experience.
Added value: time saved on formatting while keeping precision and human judgment at the heart of the deliverable.
Kit de lancement
Align communication and product: AI quickly produces visuals, copy and marketing materials consistent with your prototypes. Design and marketing teams then adapt the tone, story and nuances specific to your market.
Added value: prototypes quickly turned into visual and written stories that speak to the customer, thanks to AI and the human touch that gives them meaning.