Roadmap
One platform, every high-risk domain the EU AI Act regulates.
Aegis was born to answer one question — where do AI deployments meet fundamental rights, and how do you assess that before harm is done? Two verticals are already live: children's digital rights, built in depth, and the AI Act scenario engine. The same intelligence layer, FRIA engine, reasoning engine and contributive model apply across every other high-risk domain. Here is where we're going, and where the community shapes priority.
Unified Rights Graph (cross-cutting)
Why it matters · Underneath every vertical sits one question: which real AI systems touch which rights, where is no FRIA known, and where do regulators themselves diverge? That map is the core asset — small by design, every node sourced.
What it includes · A verified registry of high-risk AI systems linked to the fundamental rights they affect; a Regulatory Divergence Engine surfacing where the Commission, EDPB, EDPS and national authorities take conflicting positions on the same question; a FRIA Coverage Gap measured on the mapped sample; an Exposure view crossing all three; and a Rights Precedent System linking each system to the binding and persuasive case law in its sector. Every entry sourced; it grows through verified contribution.
Children's Digital Rights
Why it matters · The most rights-sensitive domain where children meet AI — education, app stores, content platforms.
What it includes · Digital Rights Index across the EU-27, cross-border DPA enforcement intelligence, compliance-gap engine (app ages vs GDPR Art. 8), EdTech Risk Atlas with one-click FRIA drafting, Forward Signal on policy windows, DSA Article 28 minors-protection tracker.
AI Act × Digital Omnibus
Why it matters · The deadline that decides everything: are providers and deployers preparing for August 2026 or December 2027? CEN/CENELEC standards remain unfinished and harmonised tools are scarce — so the real need is not another news tracker, but a way to model how the framework could play out for a specific system.
What it includes · A live Regulatory Scenario Engine that reasons over a sourced AI Act knowledge base (Annex III, the Article 6(3) exception filter, Omnibus deadlines, deployer and transparency duties). Describe a system and it classifies it for THIS case, projects the plausible regulatory futures (Omnibus adopted, not adopted in time, strict national reading, pro-innovation path), your personalised deadline, your exposure under each, a sourced map of where experts diverge, and the actions robust to every timeline. Expert-reviewed analyses build a living interpretive corpus. Every output is cited; none is legal advice.
Employment & HR AI
Why it matters · Annex III(4): recruitment, evaluation, workforce management. The largest deployer volume of the AI Act, and an area where deployer evidence gaps (Article 26) are widest.
What it includes · Sector-specific FRIA templates, intelligence on employment-related enforcement, classification helper for borderline systems, and deployer-evidence checklists aligned with Article 26.
Essential Services AI
Why it matters · Annex III(5): credit scoring, insurance pricing, access to public services and emergency response. High consumer impact, high enforcement risk.
What it includes · Mapping of national supervisory positions per sector, sourced enforcement decisions, and a FRIA workflow adapted to financial and welfare contexts.
Public-sector AI
Why it matters · AI in justice, law enforcement and migration — the most rights-sensitive uses of all, and the ones where independent intelligence is most needed.
What it includes · Scope is being defined with practitioners and civil-society contributors. If you work in this space, your input shapes what we build.
Shape what comes next
Priority isn't set by us alone. If you work in any of these domains and want to weigh in — what to build first, what we're missing, where the real risks are — request contributor access from the home page. Your input directly shapes the order.