Curated definition intelligence
Signet evaluates every Article 3 definition using an SME-approved dataset. Criterion-by-criterion results highlight evidentiary gaps and confirm scope.
EU AI Act readiness without guesswork
Signet interrogates your AI portfolio against a subject-matter-expert validated EU AI Act knowledge base. Every definition, role, and obligation comes with traceable reasoning so boards, regulators, and customers can trust your plan.
Trusted by teams modernising regulated AI deployments
Platform
A LangGraph-driven workflow pairs human-readable briefings with a traceable JSON decision layer. Our curated definitions catalog is validated by EU AI Act specialists so you know exactly why a role or risk tier was applied.
Signet evaluates every Article 3 definition using an SME-approved dataset. Criterion-by-criterion results highlight evidentiary gaps and confirm scope.
Web research, company profile, and catalog criteria are fused to produce transparent rationales—no opaque AI hallucinations or generic templates.
Every run exports traceable_decisions.json, mapping definition ID,
pass/fail decision, rationale, and evidence references for audit trails.
Receive Markdown, PDF, and DOCX packs detailing roles, obligations, roadmap, risk posture, and opportunities for proactive compliance leadership.
How it works
We capture your product scope, market plans, data flows, and existing controls. Signet automatically builds targeted research queries to surface public evidence.
AI-powered research distils company facts, while the curated catalog frames the EU AI Act definitions that matter. Missing evidence is flagged for follow-up.
Each definition is assessed with explicit yes/no calls, structured reasoning, and references. Role, risk-tier, and obligation outcomes are justified line by line.
We translate obligation requirements into sequenced actions, owners, and timelines—plus optional implementation leadership to keep delivery on track.
Deliverables
Summarises applicable definitions, roles, and risk tiers with narrative context tailored for senior stakeholders.
Map EU AI Act Articles 9–15, 24, 50, and 52 to your AI systems with priority, rationale, and evidence expectations.
Highlight missing controls, risks, and consequences—paired with a sequenced implementation plan.
Machine-readable JSON capturing every yes/no call so auditors and regulators can inspect the underlying logic.
Insights
We combine agile delivery with the rigour expected by notified bodies and supervisory authorities.
Our definition engine provides the same detail you would prepare for a formal Article 65 request—because every decision includes rationale, criteria outcomes, and evidence references.
Signet highlights commercial go/no-go checkpoints, release gating, and cross-functional dependencies so product, legal, and engineering stay aligned.
Update company facts, re-run assessments, and preserve version history with little overhead. Ideal for evolving AI offerings and GPAI integrations.
Give us two weeks. You’ll receive a defensible EU AI Act posture, a prioritised action plan, and traceable decision evidence your legal team will love.
Questions
We replaced generic retrieval with a curated definitions catalog validated by EU AI Act specialists. Each engagement evaluates every definition, documents why it applies (or not), and stores those calls in an auditable JSON file.
Yes. The exported traceable_decisions.json file is designed to feed
directly into evidence repositories, policy engines, or ticketing systems.
Absolutely. The Signet engine cross-references your use case against Annex I and Annex III triggers, documenting the rationale and any evidence gaps to close.
We can stay on to run the programme—setting up risk management systems, documentation, and transparency workflows so your launch stays on schedule.
Contact
Submit the form and we’ll schedule a working session to review your AI systems, timelines, and success metrics.