A vendor-agnostic agentic AI middleware layer that connects to any BSS/OSS stack via TM Forum Open API-compliant secure APIs and continuously executes the cash-flow critical workflows operators run manually today: churn mitigation, dynamic pricing, partner settlement, and go-to-market orchestration. No rip-and-replace. Deployed in weeks. Margin recovery measurable within the first quarter.
Telecom operators have invested billions automating their networks. Their commercial layer remains manual. Churn prediction, dynamic pricing, partner settlement, and go-to-market execution are run by analyst teams processing subscriber event telemetry streams and CDR feeds across disconnected BSS/OSS stacks — systems never designed to feed autonomous commercial decisions in real time.
The consequence is measurable: 3–5% of revenue leaks annually through mis-priced bundles, late churn intervention, and unreconciled partner settlement gaps across roaming and MVNE clearinghouses. For a $1B revenue operator, that is $30–50M in recoverable margin per year. Vorqo recovers it.
In February 2026, Amdocs — the $4.5B incumbent with 14–16% of global telecom software spend — launched aOS, an agentic operating system for telecoms. This validates the category at scale. But aOS is tightly coupled to Amdocs' own CES26 BSS/OSS suite, forcing operators to deepen proprietary vendor lock-in precisely when they are under the most margin pressure. That creates an immediate and structurally durable opening for a vendor-agnostic alternative.
Vorqo ingests live data via a TM Forum Open API-compliant secure gateway and routes it through a multi-agent orchestration engine. Each Commercial Agent executes continuously, feeding results back into BSS/OSS systems via API callbacks. TM Forum compliance (TMF630 and related standards) is contractually required by operators from all BSS/OSS vendors — ensuring no incumbent can unilaterally revoke third-party API access.
Each Vorqo workflow targets a specific revenue leakage category — replacing manual analytical cycles with continuous autonomous execution at a cadence no analyst team can match.