AI-Powered Research Assistant

Ask anything about DPP regulations. Get cited answers in seconds.

The research assistant is not a generic chatbot. It is a specialised regulatory expert system, powered by Gemini, with a curated knowledge base that TrackVision maintains and keeps current. Every answer is grounded in authoritative sources — ESPR 2024/1781, the EPRS 16-category framework, the CEN/CENELEC prEN 1821X technical standards series, and sector-specific delegated act timelines.

Every claim includes a parenthetical citation. “ESPR Art. 18.” “EPRS Textile Study, p. 42.” If the AI cannot answer from its regulatory reference set, it says so. No hallucination. No guesswork.

Your data, built into every answer

The assistant has live access to your company profile, product catalogue, and supplier network. Ask “What DPP categories apply to my outerwear line?” and get an answer specific to your actual products — not a generic overview. Upload your own audit reports, sustainability assessments, or competitor DPPs, and the AI cross-references them against regulatory requirements automatically.

Compliance plans you can act on

Save structured research outputs as plans: regulatory requirements mapped to your products, gap analysis, and step-by-step implementation roadmaps. Each plan references the specific platform module you need to complete each step. Export any conversation or plan as a formatted Word document for your legal team or auditors.

From months of research to minutes

Traditional regulatory research takes weeks. The research assistant answers complex compliance questions in seconds, with full citations. It generates realistic implementation timelines — typically 4 to 8 weeks end-to-end with the platform, compared to 6 to 12 months with traditional consulting. The knowledge base updates continuously as new delegated acts, technical standards, and sector guidance are published. You always get the latest regulatory state, not a static snapshot.

What regulatory sources does the AI research assistant use?

The research assistant operates on a curated knowledge base of authoritative EU regulatory documents that Aura’s team maintains and keeps current. This includes:

• ESPR 2024/1781 — The Ecodesign for Sustainable Products Regulation, the legal foundation for all EU Digital Product Passports. Entered into force on 18 July 2024.
• EPRS 16-category framework — The European Parliamentary Research Service information category structure defining what data a DPP must contain.
• CEN/CENELEC JTC 24 technical standards — The prEN 1821X series covering unique identifiers (prEN 18219), data carriers (prEN 18220), access rights with OAuth 2.0 and DIDs (prEN 18239), interoperability (prEN 18223), data exchange (prEN 18216), data storage requirements for 10+ years (prEN 18221), and lifecycle APIs (prEN 18222).
• Sector-specific delegated act analysis — Regulatory mapping for textiles and apparel (delegated acts expected late 2026 / early 2027), batteries (DPP requirement effective February 2027), and the 2025-2030 ESPR Working Plan priorities.

Your company profile, product catalogue, and uploaded reference material are dynamically injected into the knowledge base, so every answer is specific to your products, materials, and markets. When new regulations, delegated acts, or technical standards are published, the knowledge base is rebuilt automatically. You never need to check whether the system is up to date.

How does the AI research assistant help with DPP compliance planning?

Compliance officers typically face two problems: understanding what the regulation requires for their specific products, and building a realistic plan to get there. The research assistant addresses both.

Ask a question like “What DPP data categories apply to our outerwear line under the textiles delegated act?” and the response references your actual product catalogue, maps each product to the relevant EPRS categories, and identifies gaps against the current regulatory requirements. Every claim cites its source, so your legal team can verify independently.

You can save structured outputs as compliance plans. Each plan includes regulatory requirements mapped to your products, a gap analysis showing what data you have versus what is missing, and a step-by-step implementation roadmap. Roadmap steps reference specific platform modules: product data management for catalogue import, supplier data collection for material composition and carbon data, QR code generation for product identifiers.

Plans and conversations export as formatted Word documents for sharing with auditors, legal teams, or board-level stakeholders.

Can I upload my own documents for the AI to analyse?

Yes. The research assistant accepts supplementary documents in PDF, Word, Excel, PowerPoint, CSV, image, and ZIP formats. Uploaded files are automatically analysed and indexed. Content is extracted and made available across all research conversations.

Common use cases include existing audit reports, sustainability assessments, product specification sheets, supplier certifications, and competitor DPP examples. The AI cross-references uploaded material against regulatory requirements. For example, upload a competitor’s published DPP and ask the assistant to compare it against ESPR requirements and identify what your own DPP needs that the competitor has included.

Uploaded documents persist across sessions and are visible in the sidebar with extracted content previews. Each file shows its processing status so you can track extraction progress.

How Aura helps

The AI research assistant removes the need for external regulatory consultants during the DPP planning phase. Instead of spending weeks reading EU legislation and interpreting technical standards, your compliance team gets cited, product-specific answers in seconds. The knowledge base stays current as regulations evolve. Implementation timelines drop from 6-12 months to 4-8 weeks because the platform connects research directly to action: every gap identified in the research phase links to the specific Aura module that resolves it.

Start with the research assistant to build your compliance plan, then move through product data import, supplier data collection, and DPP generation in a single workflow.

Frequently asked questions

Is the AI research assistant a general-purpose chatbot?

No. It is a specialised regulatory expert system with a curated knowledge base limited to EU DPP regulations, technical standards, and your own company data. If a question falls outside its reference set, it says so explicitly rather than guessing. Every answer includes parenthetical citations to the source document and article.

How often is the regulatory knowledge base updated?

The knowledge base is rebuilt automatically as new regulations, delegated acts, and CEN/CENELEC technical standards are published. Aura’s regulatory team monitors EU legislative developments and incorporates updates as they become available. Your company profile and product data are refreshed dynamically with every query.

Can the research assistant generate implementation timelines?

Yes. It generates realistic, platform-aware timelines based on your current data completeness. A typical end-to-end DPP implementation takes 4 to 8 weeks using Aura, compared to 6 to 12 months with traditional consulting approaches. Timelines factor in product catalogue size, supplier count, and data request complexity.

What output formats are available?

Research outputs can be saved as structured plans within the platform, exported as formatted Word documents (.docx), or bookmarked for quick retrieval. The assistant also generates visual diagrams (Mermaid format) for process flows, timelines, and dependency maps.