When AI can build the product, what is your most valuable product asset?
When AI can increasingly write the software and support the design of physical products, what becomes the most valuable asset of a product company? – We believe the answer is shifting upstream: the information that tells what the product should be and why. We call it the Product Definition.
For centuries, libraries have made knowledge valuable by organizing it. It became very evident for Pasi Ahola, Taipuva’s founder, when visiting the National Library of Finland in Helsinki.
Libraries have shown us a simple truth: information only becomes truly useful when it is structured, connected and accessible. The same now applies to product development. As AI takes a growing role in analysis and product realization, companies need a trusted Product Data Foundation where their most important product knowledge can be found, understood and used – by both people and AI.
Customer needs, requirements, design decisions, concept & architecture, and specifications form the Product Definition from which both people and AI will work. This raises a critical question: how well is that information asset structured and maintained in your organization today?
The connecting thread
Product Definition is not only for R&D experts. When it is structured and relationally connected, it forms a Product Definition Thread across the organization: from Sales and Product Management through R&D, Procurement and Quality Assurance to Aftermarket and its customer feedback (see the figure below).
The connected information in a shared thread connects the corporate functions instead of each of them working with fragmented documents and systems. When structured properly, Product Definition Thread improves alignment, transparency and decision-making – even without AI. It makes it possible to improve cross-organizational processes, work efficiently, and to reduce time to market.
AI makes the foundation more important, not less
As AI becomes better at generating software and supporting physical product realization, the quality of the basis, the Product Definition, becomes critical.
Poorly structured requirements and outdated specifications are not reliable for AI-enabled product realization. Furthermore, human understanding of the underlying need becomes even more important than today. Humans, product champions, make the decisions of concepts and key solutions. It is possible to document these decisions, not only the outcome. This enables the whole organization to understand what the product is all about and why. The reusability of the most valuable information improves significantly, as long as there is a logical structure in it.
This is why Product Definition becomes a strategic asset. The Product Data Foundation supporting it becomes essential infrastructure in the AI era – while the same single source of truth already improves human collaboration significantly. Whatever direction AI takes, building the right Product Data Foundation now is a safe investment.
From awareness to working reality
Taipuva Consulting helps you succeed in the transition, regardless of your organization’s starting point:
- We help your management understand why the Product Definition Thread matters, how AI is changing product organizations, and what this means for your business.
=> You get confidence, clarity and a clear way forward. - We know how to design the structures, relationships, governance and ways of working needed to turn fragmented information into a connected Product Definition Thread.
=> This does not mean adding complexity. Our 15-years of experience helps us find simple solutions. - We make it operational. With deep expertise in Siemens Polarion, Taipuva can quickly build the foundation on a proven platform. Where appropriate, other suitable platforms can also be used.
- With Polarion, Taipuva Catalyst brings AI directly to the Product Definition – helping teams derive, analyze and improve information, while human review and approval keep it all trusted and in control.
AI is changing the product business. Taipuva is your trusted partner in that transition. We help you understand what is changing, act early, and build the right capabilities before the competition does. At the same time, we support your organization and experts through the change – so they understand where human expertise creates the most value and how to work effectively with AI.
Catalyst – AI for Polarion
Taipuva Catalyst combines the speed of AI with the control, traceability and security required for modern product development.
Catalyst brings AI directly into Polarion, allowing teams to create, analyse and improve engineering information faster while keeping all work visible, traceable and under human control.
Terminology Summarized:
- Product Definition = The trusted information describing what the product should be and why: needs, requirements, specifications, architecture, constraints and key decisions.
- Product Definition Thread = The connected flow of Product Definition and related information across Sales, Product Management, R&D, Procurement, Quality, Deployment and Aftermarket, as well as other relevant corporate functions.
- Product Data Foundation = The digital environment (and the configured structures within) that stores, connects, governs and makes the Product Definition Thread real and usable by both people and AI.
- AI = Artificial intelligence, now referring to the type of generative AI based on Large Language Models (LLMs), capable of analyzing, generating and transforming mainly text-based information.