Selected category
Limited risk — Article 50. AI-assisted text content generation for internal organisational use.
"Limited risk" qualification within the meaning of Article 50 of EU Regulation 2024/1689 on artificial intelligence, justified feature by feature and backed by auditable anti-bias measures.
01
Scope is qualified as limited risk under Article 50 of Regulation (EU) 2024/1689 of 13 June 2024. This category binds Scope to end-user transparency obligations, without triggering the heightened obligations of Article 9 (high risk) nor the prohibitions of Article 5 (unacceptable risk).
Limited risk — Article 50. AI-assisted text content generation for internal organisational use.
Annex III of the Regulation lists 8 high-risk domains (biometrics, critical infrastructure, education, employment, public services, law enforcement, migration, justice). No Scope use case falls into these 8 categories: Scope assists the production of B2B IT project scoping documents.
No biometric recognition, no social scoring, no categorisation of individuals, no subliminal manipulation (Article 5). No binding automated decision within the meaning of GDPR Article 22.
02
Scope is an LLM assistant for the production of scoping documents. The system makes no binding decision on behalf of a human: budget allocation, HR decisions, RACI attribution and contractual validation remain entirely the user's responsibility — the user reviews and signs the deliverable.
Text briefs entered by the user, uploaded pieces (PDF, DOCX, images), meeting audio transcripts. All inputs are voluntarily supplied by the client organisation.
4-step pipeline: structured extraction, interactive clarification, scoping (6 axes), quantitative estimation. Each step produces a deliverable that is human-reviewable before moving on.
Exportable scoping documents (Markdown, PDF, DOCX). No executable action toward a third-party system (no payment, no HR provisioning, no contractual commitment). Export and signature require explicit human validation (human-in-the-loop).
03
A deterministic pre-LLM masking step transforms names, emails and phone numbers into opaque tokens server-side, before any outbound call. The module is implemented, tested and audited, but its activation on the production pipeline is staged — the actual per-stage status is in the rollout table below.
Source-of-truth module: lib/sanitize/mask-personal-names.ts (covered by node:test unit tests, audit log wired on every masking executed). The code is reviewed on every prompt change.
Radical transparency: pre-LLM masking is implemented and tested, but its wiring into the production pipeline happens stage by stage. Until a stage is marked "Active in prod", assume briefs are sent in clear to LLM providers on that stage.
| Pipeline stage | Wired (code) | Active in prod | Target window |
|---|---|---|---|
| Extraction (briefs, transcripts) | No | No | Q3 2026 |
| Interactive clarification | No | No | Q3 2026 |
| Scoping (6 axes) | No | No | Q4 2026 |
| Quantitative estimation | No | No | Q4 2026 |
Update policy: this table is versioned in this page's source code. Any "Active in prod" check is added in the same commit as the actual wiring — never ahead of it. Organisations that require 100% masking before pilot can request an accelerated rollout contractually (contact: dpo@getscope.dev).
04
Three complementary measures: pre-LLM masking, quarterly red-team audit on 50 diverse names, naming delta metrics published in the downloadable bias-audit report.
Once the module is activated on a pipeline stage (see rollout table in §03), proper nouns are replaced there by opaque tokens before any LLM call: no name bias (gender, perceived origin) can then influence the estimate, the RACI or the scoping on that stage.
Each quarter, an internal protocol resubmits the same brief with 50 different names (genders, origins, compound first names). Metrics: delta in estimated person-days, delta in suggested RACI profile, delta in risk level. Alert threshold: variance > 5%.
The quarterly bias-audit report publishes: median delta per group, maximum variance observed, sample of 5 anonymised cases. Downloadable below.
05
Our current assessment remains an internal assessment based on public texts. Three consolidation milestones are planned, without premature marketing claims.
01
Self-assessment documented by the Scope team on the basis of EU Regulation 2024/1689 and CNIL guidelines. Publicly available (downloadable PDF).
02
External review by a specialised IT/AI compliance consultancy (selection in progress). Timeline triggered by the first Enterprise pilots (~Q3 2026).
03
The Regulation provides for the publication of voluntary certification schemes (sectoral Article 28). As soon as an applicable scheme is published by ANSSI or a notified body, Scope will apply.
06
Scope commits its contractual responsibility in the event of bias detected during normal use of the product. This clause appears in Enterprise pilot contracts and is negotiable on a case-by-case basis for other tiers.
Proven discriminatory bias (within the meaning of Article 225-1 of the French Criminal Code) or material hallucination (false information presented as certain) leading to a direct quantifiable damage, in a use conforming to the general terms.
Report to dpo@getscope.dev. Documented response within 48 business hours. Quarantine of the relevant prompt within 24 hours if necessary. Remediation plan published within 7 days.
Standard cap 12 months of subscription, negotiable up to 200% for Enterprise pilots. No cap applies in the case of an intentional fault by Scope.
07
Download the reference artifacts without a form, without gating.