AI-powered extraction and classification service tailored for policy analysis.
From PDFs to structured policy intelligence
I help project teams to process large amounts of PDFs (or qualitative data in Excel) with AI webservices (i.e. bypass the usual AI chat box and perform a large number of queries quickly).
Add tags and categories to your content
Tag and classify insights or text snippets with AI. E.g. systematically categorized content by policy area, affected sectors, obligation type, or implementation timeline.
Full-spectrum policy intelligence support
Extended services for complex policy challenges.
From self-service automation to fully managed projects
Self-service AI extraction
Core extraction service
End-to-end policy intelligence
A streamlined 5-step process ensures efficient delivery
Reach out to discuss your specific needs and requirements. We'll schedule an initial call to understand your project scope.
Reach out to discuss your needs
I work closely with you to identify exactly what needs to be extracted, along which dimensions to classify the content, etc
Set clear extraction objectives
I deploy the AI tools to analyze your documents, and prepare a structured output.
AI-powered extraction
You review the extracted data and provide feedback. Human QC can be inserted in the loop. I refine and adjust the approach to ensure accuracy and completeness.
Refine and adjust results
Receive your final deliverables in your preferred format, ready for immediate use in your policy analysis and decision-making.
Ready-to-use deliverables
Tailored solutions for various policy analysis needs
Process hundreds or thousands of stakeholder submissions to EU public consultations - from "Have Your Say" portal contributions to formal position papers. From each response, extract: respondent identification and category (business, NGO, citizen, public authority), key policy positions taken, specific legislative articles referenced, proposed amendments or alternatives, and supporting evidence cited. Respondents/responses can be classified by theme, topics, stakeholder type, or sector of activity.
Synthesize insights from policy briefs, working papers, and research reports published by think tanks, academic institutions, and international organizations (OECD, World Bank, IMF). From each source, extract: policy recommendations with specificity level, underlying evidence base (studies cited, data sources), causal mechanisms proposed, implementation considerations, success criteria suggested, and international comparisons referenced. Recommendations are classified by policy instrument type (regulatory, fiscal, voluntary), theme, topic, target actor, and implementation timeline.
Extract structured data from EC Impact Assessments and accompanying Staff Working Documents. From these 200+ page documents, capture: problem definition and market failures identified, policy options evaluated (including baseline), quantified economic costs and benefits (compliance costs, administrative burden, GDP effects), environmental impacts (emissions, resource use), social implications (employment, SME effects, regional distribution), and stakeholder consultation summaries. Each impact is classified by type (direct/indirect), certainty level, and time horizon.
Analyze position papers, policy briefs, and advocacy documents from industry federations, trade associations, NGOs, trade unions, and research institutions. From each document, extract: organization profile and represented interests, key policy demands with priority ranking, specific article-by-article positions, supporting arguments and evidence cited, proposed alternative text, implementation concerns raised, and red lines identified. Positions are classified by stance (support, oppose, conditional support), intensity (strong, moderate, neutral), and alignment with other stakeholders.
Compare multiple versions of EU directives, regulations, or delegated acts across the legislative cycle—Commission proposal, Parliament amendments, Council position, and final adopted text. From each version, extract article-by-article text, recital language, definitions, obligations, and deadlines. Changes are classified as: substantive modifications (scope, thresholds, requirements), procedural changes (timelines, reporting), drafting clarifications, or structural reorganization. Track which institution introduced each change.
Track how EU directives are transposed into national legislation across Member States by processing national implementing laws, decrees, and regulations. From each national measure, extract: transposing legal instrument references, article-by-article correspondence to the directive, national implementation choices (where directive allows flexibility), stricter national standards ("gold-plating"), designated competent authorities, and national sanction regimes. Differences are classified as: minimum harmonization choices, administrative variations, potential non-compliance, or enhanced protection measures.
Process amendment documents from European Parliament committee reports and plenary sessions. From each amendment, extract: targeted article/recital, original Commission text, proposed new wording, sponsoring MEP(s) and their political group affiliation, justification text provided, and co-signatories. Amendments are classified by type (deletion, addition, modification, compromise), thematic category (scope, definitions, obligations, exemptions, enforcement), and political orientation (strengthening/weakening regulation, pro-industry/pro-environment positions).
Process meeting minutes and summary records from EU comitology committees, Council working groups, trilogue negotiations, and expert group sessions. From each document, extract: date, participants and their affiliations, agenda items discussed, positions expressed by delegation or institution, decisions taken (with voting records where available), action items assigned with responsible parties and deadlines, and unresolved issues flagged for follow-up. Discussion items are classified by topic area, decision status (agreed, pending, deferred), and level of contention.
Process grant applications submitted to EU funding programs (Horizon Europe, LIFE, Erasmus+, CEF, cohesion funds). From each proposal, extract: project title and acronym, lead applicant and consortium partners with roles, requested EU contribution and total budget, work package structure, key performance indicators proposed, deliverables and milestones, and declared expected impacts. Applications are classified by call topic alignment, Technology Readiness Level, geographic coverage, and partner type mix (academia, industry, SME, public sector). Eligibility criteria are automatically checked against call requirements.
Analyze Common Agricultural Policy Strategic Plans and intervention descriptions from all 27 Member States. From each intervention, extract: eligibility conditions for beneficiaries, commitment requirements and duration, topics and themes, farm practices, result indicators linked. Interventions are classified by topics, themes, farm practices, type of beneficiary and tagged by environmental ambition level.
Process Environmental Impact Assessments (EIAs), Strategic Environmental Assessments (SEAs), and Appropriate Assessments under Habitats Directive. From these multi-hundred page technical reports, extract: project description and alternatives considered, baseline environmental conditions, identified impacts by receptor (air quality, water, soil, noise, biodiversity, landscape, climate), significance assessments, cumulative impact analysis, proposed mitigation and compensation measures, residual impacts after mitigation, and monitoring program specifications. Impacts are classified by magnitude (negligible to major), duration (temporary/permanent), reversibility, and geographic extent.
Extract structured ESG data from corporate sustainability reports, non-financial statements, and CSRD-compliant disclosures. From each report, capture: environmental metrics (GHG emissions Scope 1/2/3, energy consumption, water use, waste generation), social indicators (workforce composition, health & safety, training hours), governance disclosures (board diversity, ethics policies, due diligence processes), targets set with base years and timelines, progress against previous commitments, and reporting frameworks applied (GRI, ESRS, TCFD, SASB). Disclosures are classified by ESRS topic, materiality assessment outcome, and data quality level (measured, estimated, third-party verified).
Analyze carbon credit project documentation including Project Design Documents (PDDs), validation reports, monitoring reports, and verification statements across standards (Verra VCS, Gold Standard, American Carbon Registry). From each project, extract: project type and methodology applied, geographic location and boundaries, baseline scenario and additionality justification, estimated vs. verified emission reductions, crediting period and vintages, permanence risk assessment, co-benefits claimed (SDG contributions), and buffer pool contributions. Projects are classified by sectoral scope (forestry, renewable energy, cookstoves, etc.), activity type, and risk category.
Analyze green, social, sustainability, and sustainability-linked bond frameworks alongside Second Party Opinions (SPOs) and allocation/impact reports. From each framework, extract: eligible project categories with inclusion/exclusion criteria, environmental objectives targeted, EU Taxonomy alignment claims by activity, process for project evaluation and selection, management of proceeds mechanics, and reporting commitments. From SPOs, capture assessor opinion and sustainability quality scoring. From impact reports, extract allocated amounts by category and reported impact metrics. Frameworks are classified by bond type (use of proceeds vs. KPI-linked), ambition level, and Taxonomy alignment degree.
Process ecological survey reports, habitat assessments, Natura 2000 compatibility studies, and biodiversity impact analyses. From each assessment, extract: species inventories with scientific and common names, population estimates and distribution data, conservation status (IUCN Red List, Habitats Directive Annexes, national protection status), habitat types mapped using EUNIS classification, connectivity and ecological corridor analysis, identified threats and pressures, mitigation hierarchy application (avoid, minimize, restore, offset), and compensation ratios proposed. Species are classified by protection level, sensitivity to project impacts, and priority for conservation action.
Process large document sets in M&A or investment due diligence data rooms—corporate records, permits and licenses, material contracts, employment agreements, litigation files, insurance policies, and regulatory correspondence. From each document, extract: document type and date, parties involved, key terms and obligations, expiration and renewal provisions, change of control clauses, termination rights, liability caps, and identified risks or red flags. Documents are classified by workstream (legal, financial, operational, environmental, HR), risk level (high, medium, low), and deal relevance (critical, important, routine). Findings are linked to disclosure schedules and representations.
Process news articles, press releases, trade publications, and social media content for policy-relevant intelligence. From each item, extract: headline and publication details, organizations and individuals mentioned, policy topics and legislative files referenced, key claims and statements attributed, data points and statistics cited, and geographic focus. Content is classified by source type (mainstream media, trade press, wire service, opinion), topic taxonomy aligned to your monitoring priorities, sentiment toward key entities (positive, negative, neutral), and narrative framing. Emerging issues and storyline evolution are tracked over time.
Process diverse document collections (policy reports, research papers, legislation, briefs) to build structured, searchable knowledge hubs. From each document, extract: document metadata (title, author, publication date, source, document type, language), primary and secondary topics identified with thematic classification, tailored abstract and executive summary, key concepts and keywords, document structure (table of contents, section hierarchy), important quotes and notable statements, entities mentioned (organizations, individuals, locations), references and citations, and cross-document relationships. Documents are classified by policy domain, sectoral focus, content type, and target audience to enable advanced search, topic navigation, and knowledge discovery.
The expertise behind Oravia Intelligence
Economist & AI Policy Tools Developer
Thirteen years in policy consulting taught me two things: the work matters, and there's never enough time to do it properly.
Evaluating agricultural investments, monitoring policy implementation, analyzing sustainable finance instruments. I spent a decade navigating the document-heavy reality of Brussels consulting. My PhD in Economics gave me the analytical foundation; years in the field showed me where traditional methods hit their limits.
When AI tools emerged, I didn't just adopt them, I built with them. PDF extraction pipelines. Classification systems. Data scrapers. Dashboards. Tools designed by someone who actually understands what policy analysts need.
Oravia Intelligence is the service I wished existed when I was drowning in consultation responses and legislative packages. Now it does.
Everything you need to know about the services
I use state-of-the-art models from OpenAI (GPT family). For EU data residency and enhanced GDPR compliance, I can work with Mistral (EU hosting). For sensitive data, a local version of an open source LLM (Gemma3, ...) can be used (data would not be transmitted to service providers). If required, I can implement Claude, Gemini or Grok based solutions. The specific model selection depends on your project requirements, document complexity, and accuracy needs.
The pricing is tailored to each project based on document volume, complexity, and specific requirements. I can offer flexible pricing models including per-document rates, project-based pricing, and retainer options for ongoing work. Get in touch for a customized quote based on your needs.
The objective is to deliver within a couple of days (same week delivery). Timelines vary depending on project scope and document volume. Small projects (100-500 documents) typically take 1-2 days. Large projects (1000+ documents) can take 4-5 days when we add a couple of checkpoint meetings. I provide detailed timelines during the initial consultation and keep you updated throughout the process.
This AI extraction service is suitable for anyone working with a corpus of information, but my experience makes it particularly relevant for EU policy professionals working with a large amount of documents, especially in the agriculture, environment, finance and sustainable development sectors.
Ready to transform your policy documents into actionable intelligence?
Contact me to learn how Oravia Intelligence can help you leverage AI tools for policy analysis. I will provide a customized solution tailored to your specific needs.
Email: guillaume@agimpacts.com
Location: Brussels, Belgium