The EU Battery Regulation was the first product-specific legislation to mandate Digital Product Passports. It will not be the last.
The Ecodesign for Sustainable Products Regulation (ESPR 2024/1781) is the framework regulation that extends digital passport requirements to virtually every product category placed on the EU market. Textiles are next, with delegated acts already in development. Electronics follow. Tyres are on the roadmap. Construction materials, furniture, and chemicals are expected thereafter.
For manufacturers who operate across multiple product categories — and there are many — this creates a strategic question: do you build or buy a separate compliance system for each regulation, or do you invest in one system that handles all of them?
The regulation-specific trap
The natural first instinct is to solve the immediate problem. Batteries have a deadline. Buy a battery passport tool. Get compliant. Move on.
This works until the next regulation arrives. The textile DPP has different data fields, different supply chain requirements, and different verification standards. The battery passport tool does not handle it. So you buy a textile compliance tool. Now you have two systems, two vendor relationships, two data silos, and two sets of supplier integrations.
When electronics DPP requirements arrive in 2029, you add a third. When tyres follow, a fourth. Each system has its own data model, its own supplier portal, its own audit trail format. None of them talk to each other.
This is the regulation-specific trap. It feels pragmatic in the short term. It becomes unsustainable by the third regulation.
What regulation-agnostic means
A regulation-agnostic engine separates the compliance logic from the underlying architecture. The data model, the AI extraction pipeline, the supplier network, the verification infrastructure, and the audit trail are all product-category-independent. They work the same way regardless of whether the product is a battery, a textile, or an electronic device.
What changes between regulations is the configuration layer: which data fields are required, which evidence documents satisfy each field, what thresholds apply, and which verification rules govern approval. This configuration is regulation-specific. Everything else is shared.
Think of it like an operating system. The OS handles storage, networking, user management, and process execution regardless of what application is running. The application defines the specific task. The same principle applies to compliance infrastructure. The engine handles data ingestion, AI extraction, supplier coordination, and verification workflow. The regulation defines the specific compliance requirements.
Why architecture matters more than features
The practical difference becomes clear when a regulation updates or a new regulation arrives.
In a regulation-specific tool, a new regulation means a new product. The vendor has to build new data models, new extraction rules, new report templates, and new verification workflows. That takes months. The customer waits.
In a regulation-agnostic engine, a new regulation is a configuration change. The data model expands. The extraction rules update. The report templates adjust. The underlying engine — the AI that reads documents, the supplier network that shares data, the verification infrastructure that certification bodies use — does not change. It already works.
This is not theoretical. Traceable built for batteries first because the EU Battery Regulation has the earliest deadline. But the same engine that handles Annex XIII data requirements for batteries handles ESPR textile requirements without architectural changes. The supplier network works the same way. The AI extraction pipeline works the same way. The verification workflow works the same way.
The supplier network advantage
Regulation-agnostic architecture creates a unique advantage at the supplier network level.
Many suppliers serve multiple product categories. A chemical supplier provides materials to both battery manufacturers and textile producers. A test laboratory certifies both electronic components and automotive parts. These suppliers are already in the network.
When a new regulation applies to a product category that shares suppliers with an existing category, those suppliers are already onboarded. Their data is already structured and validated. The manufacturer in the new category inherits a head start.
This is impossible with regulation-specific tools. Each tool has its own supplier database, its own onboarding process, and its own data format. The same supplier fills out different forms for different tools for the same underlying data.
The AI multiplier
An AI extraction engine that has processed thousands of test reports, certificates of analysis, and supplier declarations for battery compliance has learned patterns. It knows how to read a certificate of analysis from a chemical supplier. It knows how to extract material composition data from a technical data sheet. It knows how to map a recycled content declaration to regulation requirements.
When that same engine encounters a textile compliance document, it does not start from zero. The document formats are different. The specific data fields are different. But the fundamental task — reading a document, extracting structured data, and mapping it to a regulatory requirement — is the same. The AI’s capabilities transfer.
A regulation-specific tool trained only on battery documents has to retrain for textiles. A regulation-agnostic engine trained across all document types compounds its capability with every new regulation it supports.
The economic argument
The economics are straightforward. A manufacturer paying for three regulation-specific tools is paying three licence fees, maintaining three integrations, training staff on three interfaces, and managing three vendor relationships. Each tool has its own pricing model, its own support team, and its own update schedule.
A single regulation-agnostic platform consolidates all of this. One licence. One integration. One interface. One vendor relationship. The cost per regulation decreases as coverage increases. The operational complexity stays flat even as regulatory requirements grow.
For a manufacturer who today makes batteries and tomorrow expands into electronics, the question is whether they want to repeat the entire compliance infrastructure build — or extend what they already have.
The regulatory trajectory is clear
The European Commission has been explicit about its intentions. The ESPR is a framework regulation designed to apply across product categories. The delegated acts will continue to roll out through 2027, 2028, and beyond. Every product with environmental impact will eventually require some form of digital passport.
Manufacturers who build their compliance infrastructure on regulation-specific tools will rebuild it every time a new delegated act arrives. Manufacturers who build on regulation-agnostic architecture will extend it.
The question is not whether you will need multi-regulation compliance. The question is whether you will be ready when it arrives.
