Telecommunications — FranceIA Data & Automatisation
A national telecom operator now qualifies every piece of content via AI, without losing control.
NLP and human-in-the-loop platform for the semantic qualification of editorial content of a national telecom operator. Tagger rules, continuous lexicon learning, quality dashboard, and monthly reporting.
Delivery model
Development center (CDR)
Via Access International
Typical duration
Renewable multi-year program
Team
AI architect, NLP developers, data engineers, QA, project manager
01Context
- Significant volume of editorial content to qualify monthly
- Complex business rules specific to the brand and regulation
- Need for continuous lexicon learning (products, campaigns, events)
- Requirement for full traceability of qualifications
02Intervention
- Design of an NLP pipeline combining tagger rules and learning models
- Human-in-the-Loop (HITL) loop for ambiguous case qualification
- Real-time quality dashboard
- Continuous lexicon learning mechanism from HITL decisions
- Bias and confidentiality audits compliant with GDPR
03Deliverables
- NLP platform in production with availability SLA
- HITL console for editorial teams
- Consolidated quality dashboard
- AI governance documentation (quality, bias, confidentiality)
- Monthly report on the qualified corpus
04Outcomes
- Large-scale automated qualification with targeted human intervention
- Continuous lexicon learning improving accuracy over time
- GDPR compliance on content processing
- Capacity to extend to new editorial use cases
Related modernization paths
Does this context match yours?
We frame your program at Intake, with transparent budgeting. A short POC can be delivered in a few weeks before committing to a full program.