TRAI’s AI draft keeps telecom operators accountable for outsourced systems

India’s telecom regulator opened its [consultation](https://www.trai.gov.in/draft‑guidelines‑responsible‑use‑artificial‑intelligence‑ai‑telecommunication‑networks‑and) on October 30, inviting comments by November 27 on proposed guidelines for authorised telecom entities using or planning AI in networks or services. The [draft](https://www.trai.gov.in/sites/default/files/2026‑10/Draft_CP_30102026.pdf) would keep operators accountable for outcomes of both in‑house and third‑party AI.

All AI incidents, including those during testing, would be recorded centrally. The draft specifies reporting critical/high‑severity incidents to TRAI, following classification, and supplies no numerical reporting clock. For internal engineering review, OpenTools’ [enterprise‑systems reference](https://opentools.ai/resources/enterprise‑system‑design) covers authority boundaries, operational records and failure recovery—context for turning governance requirements into design‑review questions. Draft: record all AI incidents; report critical/high cases. Explanatory diagram, not actual records.